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What is Intelligent Sensor and Its Applications

Author: Apogeeweb
Date: 28 Mar 2018
smart vs intelligent


Intelligent sensors, also called “smart sensors”, as a tool for human access to information, sensors are an important part of modern information technology. In the traditional sense, the output of the sensor is a mostly an analog signal. It doesn't have the function of signal processing and networking. It needs to connect to a specific measuring instrument to complete the signal processing and transmission function. 


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Smart sensors can process raw data internally and can exchange data with the outside world through standard interfaces, and change the work of sensors by software control according to actual needs, so as to achieve intellectualization and networking. Because of the use of a standard bus interface, the intelligent sensor has good openness and expansibility, which has brought great development space to the expansion of the system. So what is an intelligent sensor?



I What is an Intelligent Sensor

  1.1 Intelligent Sensor Denifition

  1.2 Types and Structure of Intelligent Sensor

II The Features of Intelligent Sensor

III The functions of Intelligent sensor

IV Implementation of Intelligent Sensor

  4.1 Implementation of Intelligent Sensors

  4.2 Intelligent Sensor Technology

V Development and Trend of Intelligent Sensor Technology

VI Intelligent Sensor Applications


I What is an Intelligent Sensor

1.1 Intelligent Sensor Denifition

The concept of smart sensors was first introduced by NASA in the process of developing a spaceship and formed a product in 1979. Spaceships need lots of sensors to send data, such as temperature, position, velocity and attitude to the ground or spacecraft, even though using a large computer, it is difficult to process such huge data at the same time. Besides, the spacecraft restricts the volume and weight of the computer. It is hoped that the sensor itself has an information processing function, so the smart sensor will appear when the sensor is combined with the microprocessor. 

Intelligent Sensor in Ecobee Thermostat

Intelligent Sensor in Ecobee Thermostat

An intelligent sensor is a kind of function that can sense and detect a certain object's information, and can learn, judge and process signals, and has a new type of sensor with communication and management functions. The intelligent sensor has the ability to automatically calibrate, calibrate, compensate and collect data. Its capability determines that the intelligent sensor has high accuracy and resolution, high stability and reliability, and good adaptability. Compared with traditional sensors, it has a high-performance price ratio.


Early intelligent sensors are processed and converted from the output signal of the sensor to the microprocessor for operation. In the 80s, the smart sensor mainly focused on microprocessors, and integrated the sensor signal conditioning circuit, microelectronic computer memory and interface circuit to a chip, so that the sensor has certain AI. In the 90s, intelligent measurement technology has been further improved, so that the sensor to achieve miniaturization, integration, array, digital structure, convenient use, simple operation, and has the function of self-diagnosis, memory and information processing function, data storage function, multi-parameter measurement, network communication function, logical thinking and judging function.

Intelligent Sensors

Intelligent Sensors

1.2 Types and Structure of Intelligent Sensor

> 1). the types of the smart sensor are as following:

  • a. sensor with the ability to judge

  • b. sensor with learning ability

  • c. sensor with creative ability

> 2). The structure of an intelligent sensor

The Structure of Intelligent Sensor

The Structure of Intelligent Sensor

The intelligent sensor system is mainly composed of sensors, microprocessors and related circuits, as shown in the picture. The sensor converts the measured physical quantity and chemical quantity to the corresponding electrical signal sends it to the signal modulation circuit, and then sends it to the microprocessor after filtering, amplifying and A/D conversion.


Microprocessor computing, storage, data analysis and processing of the received signal, a feedback loop of the sensor and signal conditioning circuit is adjusted in order to achieve the regulation and control of measurement process; on the other hand, the processing result is transmitted to the output interface, the interface circuit after processing according to the output format, output interface customization the measurement results of digital. The microprocessor is the core of the intelligent sensor. Because of the function of various software, the sensor is intelligentized, and the performance of the sensor is greatly improved.

Sensor Drive IoT Intelligent System

Sensor Drive IoT Intelligent System

II The Features of Intelligent Sensor

  • >(1) High precision

Intelligent sensor through the automatic zero correction and removal of zero, standard reference real-time automatic contrast overall system calibration, nonlinear system error, a large number of real-time data analysis and processing, to eliminate the effects of accidental error, ensure the accuracy of an intelligent sensor.

  • >(2) High reliability and high stability

The intelligent sensor system can automatically compensate for the characteristics of working conditions and the environment parameters change caused by the drift of zero and sensitivity such as environmental temperature, system supply voltage fluctuations caused by drift; can automatically transform the range in the measured parameters, the real-time system of self-inspection, analysis and judgment of the data rationality emergency treatment, and automatic abnormal situation.

  • >(3) High signal to noise ratio and high resolution

The intelligent sensor has data storage, memory and information processing functions, through digital filtering and correlation analysis, can remove the noise in the input data, the automatic extraction of useful data; through data fusion, neural network technique can eliminate the influence of many parameters under the condition of cross-sensitivity.

  • >(4) Strong self adaptability

The intelligent sensor has the function of judgment, analysis and processing. It can make decisions about the power supply of each part and the data transmission rate with high/top computers according to the working conditions of the system so that the system works in the optimal low power state and optimizes the transmission efficiency.

  • >(5) Higher performance and price ratio

The intelligent sensor has high performance, not like the traditional sensor technology that through the pursuit of perfection, the sensor itself in all aspects of sensor design and debugging, carefully crafted handicrafts "to obtain, but through the combination of computer and microprocessor/microchip, using integrated circuit technology and cheap and powerful software to achieve, so it has high-performance price ratio.

Smart Sensor Technology

Smart Sensor Technology

III The Function of Intelligent sensor

The function of an intelligent sensor is simulated by simulating the coordination action of human's sense organs and brain, combining with the research and practical experience of long-term test technology. It is a relatively independent intelligent unit. Its appearance has reduced the harsh requirements of the original hardware performance and has greatly improved the performance of the sensor by software assistance. Intelligent sensors can usually implement the following functions:

  • >(1) We observe the natural phenomena around us. The common signals are sound, light, electricity, heat, force and chemistry. Sensitive element measurements are generally measured in two ways: direct and indirect measurements.

The intelligent sensor has a complex function, which can measure a variety of physical quantities and chemical quantities at the same time, and gives information that can reflect the law of material motion in a more comprehensive way. As a composite liquid sensor California University, temperature, velocity, pressure and density can be measured at the same time medium. The composite mechanical sensor developed by the EG&GIC Sensors company in the United States can measure the three-dimensional vibration acceleration, velocity and displacement of a point at the same time.

  • >(2) Adaptive functional intelligent sensors can automatically adapt their own characteristics to this change in a certain range of conditions. 

Adaptive technology can extend the life of the device or device because it can compensate for the parameter drift caused by the aging component. At the same time, it also expands its field of work, because it can automatically adapt to different environmental conditions. Adaptive technology improves the repeatability and accuracy of the sensor. Because the correction and compensation value is no longer an average value, it is the true correction value of the measurement point.

  • >(3) Self-test, self-calibration, self-diagnosis function of the common sensor requires periodic inspection and calibration, to ensure that it is in normal use accurate enough, these general requirements of the sensor from the field to the laboratory or inspection departments to remove, for the online measuring sensor is abnormal is not a timely diagnosis.

When intelligent sensors are used, the situation is greatly improved. In the first place, self-diagnostic functions are performed on the power of the power supply, and the diagnostic test is used to determine the failure of the component. Secondly, it can be corrected online according to the time of use, and the microprocessor uses the measurement characteristic data in E2PROM to check and proofread.

  • >(4) Information storage function information is often the key to success. An intelligent sensor can store a large amount of information, and the user can query it at any time. This information can include the historical information of the device.

For example, how many hours the sensor has worked, how many times the power supply is replaced, and so on. It also includes all the data and charts of the sensors, including configuration selection instructions, etc. In addition, the serial number, production date, catalog and final result of the final factory test are also included. The content can be unlimited, only limited by the storage capacity of the intelligent sensor itself. In addition to the four functions of process data processing, self-diagnosis, configuration and information storage, intelligent sensors also provide the ability of digital communication and self-adaptation.

  • >(5) Data processing is a very important task for processing data processing, and the smart sensor itself provides this function. The intelligent sensor can not only enlarge the signal, but also make the signal digitize, and use the software to realize the signal adjustment. Generally, the basic sensor can not give a linear signal, and the process control takes linearity as an important goal. The intelligent sensor can linearize the nonlinear signal by look-up table mode.

Of course, this data sheet should be compiled separately for each sensor. Another example of intelligent sensor process data processing is filtering the digital signal through a digital filter, so as to reduce the interference of noise or other related effects. And it is much easier to develop complex filters with software than to use discrete electronic circuits. Environmental factor compensation is also an important task of data processing. The microcontroller can help improve the accuracy of signal detection.


For example, the correct temperature compensation coefficient can be obtained by measuring the temperature of the basic detection element, thus the temperature compensation for the signal can be realized. The use of software can also achieve nonlinear compensation and other more complex compensation. This is because the query table can produce almost any shape of the curve. Sometimes a few different physical quantities must be measured and processed so that their respective data will be given. The emblem controller of the intelligent sensor can easily realize the operation of adding, subtraction, multiplication and division of multiple signals. In the process of process data processing, the intelligent sensor can be very important.

How Smart Sensors Make the Difference

How Smart Sensors Make the Difference

In addition, it is also beneficial to put these operations from under the central control room to the point of proximity to the signal generating point. One is that it costs a lot to send an additional signal to the control room, and the cost of additional sensors and leads is saved with a smart sensor. The other is that the additional information is detected at the application point of information, which greatly reduces the negative effects (such as noise and potential difference) introduced by long-distance transmission, and makes the signal more accurate. The third is to simplify the software in the main controller and improve the speed of the control loop.

  • > (6) Another main feature of the configuration function intelligent sensor is the configuration function. 

How many times should the signal be magnified? Is the temperature sensor output at centigrade or Fahrenheit? For smart sensor users, the desired configuration can be selected at will. For example, detection range, programmable pass/break delay, select group counter, open / normally close, 8/12 bit resolution selection, etc. It's just a few of the countless configurations of today's smart sensors. The flexible configuration function greatly reduces the needs of the user to develop and replace the necessary types and number of different sensors. Using the configuration function of the intelligent sensors can make the same type of sensor work in the best state, and can do different work on different occasions.

  • > (7) The function of digital communication is as mentioned above. Because smart sensors can generate large amounts of information and data, the single input and output of ordinary sensors can not provide the necessary input and output for device data. But you can't use a lead line for each information, because it makes the system very complex, it needs a flexible serial communication system.

In the process industry, point and point connection and series networks are usually seen. The big trend is to develop in the direction of a series network. Because the smart sensor itself has a microcontroller, it belongs to digital, so it can naturally configure the digital serial communication with the external connection. Because the ability of the serial network to resist environmental impact (such as electromagnetic interference) is much stronger than the ordinary analog signal. The transmission of information can be managed effectively by matching the serial communication to the device so that the data can be output only when required.

IV Implementation of Intelligent Sensor

4.1 Implementation of Intelligent Sensors 

At present, the implementation of intelligent sensors is carried out in three ways along with the development of sensor technology.

A. the use of computer synthesis, that is, intelligent synthesis;

B. the use of special functional materials, that is, intelligent materials;

C. using the functionalized geometric structure, that is, the intelligent structure. Intelligent synthesis is the combination of sensor devices and microprocessors, which is the main approach at present.

4.2 Intelligent Sensor Technology

According to the synthetic method of sensor and computer, the current sensing technology uses the following three specific ways to realize the intelligent sensor.

> Non-integrated module mode. The non-integrated intelligent sensor is an intelligent sensor system composed of a traditional basic sensor, signal conditioning circuit and microprocessor with a digital bus interface. This kind of non-integrated intelligent sensor is developed rapidly in the development of the development situation of the field bus control system. Manufacturer of automation instrument the original set of production equipment basically unchanged, additional a digital microprocessor bus interface board is assembled, and equipped with communication, control, self-correction, self-compensation, self-diagnosis of intelligent software, to realize the intelligent sensor function. This is the most economical and fast way to build intelligent sensors.


> Integrated implementation. The smart sensor system adopts micromachining technology and large-scale integrated circuit technology, and uses silicon as the basic material to make sensitive components, signal conditioning circuits and microprocessor units, and integrate them on a chip. The integrated realization makes the intelligent sensor achieve miniaturization and structure integration, thus improving the accuracy and stability. After the array of sensing elements is made up of the array and the corresponding image processing software, it can realize graphic imaging and constitute a multi-dimensional image sensor. At that time, the intelligent sensor has reached its most advanced form.

Integrated implementation

Integrated Implementation

>Mixed realization. There are many difficult problems to realize the intelligent sensor system on a chip. According to the need and possibility, we can integrate all the integration links of the system, such as sensitive unit, signal conditioning circuit, microprocessor unit and digital bus interface, and integrate them on two or three chips in different combinations.

V Development and Trend of Intelligent Sensor Technology

5.1 The Development and Trend of Intelligent Sensor Technology

> to develop toward high-precision. With the improvement of the automatic production level, the demand for sensors is also improving. We must develop new sensors with high sensitivity, high accuracy, fast response and good interchangeability, so as to ensure the reliability of production automation.


> develop towards high reliability and wide temperature range. The reliability of sensors directly affects the anti-interference performance of electronic devices. The development of sensors with high reliability and a wide temperature range will be the permanent direction. The development of new materials (such as ceramics) will be promising.


> to develop toward miniaturization. The function of various control equipment is more and more strong, requirements in various parts of the smaller the better, so the sensor itself is the volume as small as possible, which requires the development of new materials and processing technology, the current volume of a sensor fabricated by silicon material has been very small. For example, the traditional accelerometer is made of gravity block and spring. It has a large volume, poor stability and short life. And the silicon acceleration sensor made by various micromachining technologies such as laser has small volume, good interchangeability and reliability.


> to develop toward micropower and passive. Sensors are generally non-electricity conversion work, cannot do without power, in the field or from the grid, are often powered by batteries or solar power, the development of micro power sensor and the passive sensor is the inevitable direction of development, such as it can save energy and improve the service life of the system. At present, low power consumption chips have developed rapidly, such as the T12702 operational amplifier, with a static power consumption of only 1.5 A, while the operating voltage is only 2~ 5V.


> to develop toward the digital and intelligent. With the development of modernization, the function of the sensor has exceeded the traditional function, the output is no longer a single analog signal (0~ 10mV), but after the digital signal processing microcomputer after, some even with the control function, which is called a digital sensor.


> to develop toward the network. Networked development is an important direction for the development of sensors. The role and advantages of the network are gradually emerging. Network sensors will certainly promote the development of Electronic Science and technology.

Application of Intelligent SensorApplication of Intelligent Sensor

5.2 Development Focus of Intelligent Sensor

> The application of machine intelligence to fault detection and prediction. Any system must detect or predict the possible problems before it is wrong and causes serious consequences. At present, the model of abnormal state is not exactly defined, and the abnormal detection technology is still very lacking. It is urgent to combine sensor information and knowledge to improve machine intelligence.


> In the normal state, the physical parameters of the target can be perceived by high precision and Gao Min, but little progress is made in the detection of malfunction and misoperation. Therefore, it has an urgent need for fault detection and prediction and should be vigorously developed and applied.


> Current sensing technology can accurately sense physical or chemical quantities on a single point, but it is difficult for multidimensional state sensing. Such as environmental measurement, its characteristic parameters are widely distributed and have temporal and spatial correlation, which is an urgent problem to be solved. Therefore, it is necessary to strengthen the research and development of multi-dimensional state sensing.


> Remote sensing of target component analysis. Most of the chemical composition analysis is based on sample material, and sometimes it is difficult to sample the target material. As the content of ozone in the stratosphere measurement, remote sensing is indispensable, combined with radar or laser detection technique of the measured spectra is a possible way.  The analysis without sample components is easy to be interfered by all kinds of noise or medium between sensing system and target components, and the machine intelligence of sensor system is expected to solve this problem.


> Sensor intelligence for efficient circulation of resources. The modern manufacturing system has realized the efficient automated production process from raw materials to products. When the product is no longer used or abandoned, the cycle process is neither effective nor automated. If the recycling of renewable resources can be carried out effectively and automatically, environmental pollution and energy shortage can be effectively prevented, and the management of life cycle resources can be realized. It is a very important task for an intelligent sensor system to use machine intelligence to distinguish target components or certain components.

VI  Intelligent Sensor Applications

  • Molecular Sensor

Although chemical technology has been applied to invisible ink in the past, continuous improvement of detection methods has been difficult to ensure that hidden information is not read under unauthorized circumstances. In view of this situation, Weizmann and his research team developed a fluorescent molecular sensor, which can distinguish different chemical substances by generating specific fluorescence emission spectra. The Research Institute of Israel Academy of science and technology, Weizmann, has developed a fluorescent molecule sensor. Considering the recent concern about global electronic surveillance, the sensor provides a secure means to bypass the electronic communication system.

  • Wireless Sensor

In recent years, the fitness tracker has become a more popular wearable technology product. However, engineers from the University of California at Berkeley promoted the concept further and developed a tiny wireless sensor to detect the health status of the human body. It is reported that the equipment has been reduced to a cubic millimeter of about one particle of dust, known as "nerve dust".


These sensors can be implanted in the human body, where they will detect tissues, muscles and nerves in real-time. Wireless sensors are becoming more and more widely used in the fields of industry, agriculture, military, aviation, architecture, medical, environmental protection and so on. Shenzhen Xinli technology has been committed to various types of wireless sensor design, research and development, and provide wireless data acquisition and transmission monitoring system solutions based on wireless sensor network.


For example, wireless temperature and humidity sensors, wireless pressure sensors, wireless temperature sensors, wireless gas sensors, wireless liquid level sensors, and so on. The actual application in the smart environment monitoring system, intelligent agricultural greenhouse cultivation environment monitoring system, storage intelligence collection of environmental monitoring systems, intelligent network monitoring system, environmental monitoring system for major hazard sources, energy management system, monitoring system of atmospheric environmental quality and production of the intelligent monitoring system.

  • Bioluminescence Sensor

Bioluminescence sensor is actually a new research method. It was invented by a group of scientists from Vanderbilt University in the USA by gene transformation of luciferase. According to the researchers, the new sensor can be used to track the internal interaction of the large neural networks in the brain.

  • Artificial Hair Sensor

For humans, skin is not only a barrier to protect us from dust and bacteria, but also a medium for change in the environment. As researchers develop robotics, they are trying to create functions like real skin for robots. He Xiaodong, a professor of Materials Science in Harbin Institute of Technology, and his colleagues made innovations in this field. The new technology they developed can imitate the fine hair on the surface of the human body and transmit sensory information to the robot. The researchers used 30-micron wire instead of hair, and a row of fine wires embedded in silicone rubber, and the row wire's role is to bring the outside information of artificial skin. The research results can be used for sensing prosthetic limbs or corresponding medical care equipment.

  • CompoundTouch Sensor

At present, most of the robot's touch sensors only have force sensors, so they can only detect the hardness and texture of objects, which makes robots identify the external objects with low accuracy. But if it is combined with a traditional power sensor, a complex touch sensor can help the robot identify the composition of the object. It is in this principle that experts from the Georgia Institute of Technology show their "skin" designed for robots to generate heat, conductive and non-conductive fabrics and thermistors.

  • Air Sensor

TZOA day before the company has launched a new air sensor. It is understood that this is a sensor that collects air quality information. The information collected includes particle types and quantities, and whether there are harmful chemicals in them. It also protects the fetus and children from contaminants that affect the development of the brain. In the future, the company plans to sell outdoor pollution equipment in China and India, as well as the sale of indoor pollution equipment in the United States. TZOA is also developing asthma equipment that can help determine the triggers of asthma attacks.

  • Sleep - Promoting "Sense" Sensor

It is reported that James, in London, England, has invented a sleep sensor called "Sense". It is understood that the "Sense" sensor can automatically adjust the lights, control the heating according to the master's regulation, and even play the soothing music to promote human sleep. During sleep, it can also adjust the environment to the most comfortable condition. The sound, light, temperature, humidity and air quality can also be monitored, and the sleep status of the users per night can be graded.

  • EMG Sensor

Sensors have been playing an important role in the field of medical health because they are in the most outpost of collecting data. The EMG sensor Cheng Shanghai independent research and development is a kind of electric charge sensor, with a high sampling rate, strong anti-interference ability, good filtering effect. The sensor has been successfully applied in medical rehabilitation and the bionic leg, the future will expand to VR/AR, physical fitness, outside of the human skeleton sunrise industry.

  • Temperature Sensor

SirenCare, a company dedicated to the health monitoring of diabetic patients, has developed a smart sock that can detect whether the patient has inflammation through the temperature sensor, so as to detect the health status of diabetic patients in real-time. Siren's socks are closer to the skin compared to the boots and insoles that were developed by other companies.  Sensors are woven into socks, which can detect foot inflammation at any time, and all information detected will be uploaded to App on smartphones, so that patients can understand their feet at any time.

  • Skin Sensor

It's reported that Japanese researchers have recently invented a cheap integrated sensor like a band - stick. This band-aid integrated sensor is a flexible device that can be attached to the body freely. It can monitor human activity, heart rate and ultraviolet intensity. It can be used in health management and the Internet of things. The sticker skin sensor is printed on thin plastic film with the latest developed printing technology. Compared with the previous semiconductor sensor manufacturing technology, it has low cost and takes account of the convenience and low cost.



1. What are the applications of the smart sensor?

Smart sensor technologies have been used for monitoring and control mechanisms in a wide variety of environments, including smart grids, flood and water level monitoring systems, environmental monitoring, traffic monitoring and control, energy-saving in artificial lighting, remote system monitoring and equipment fault.


2. What are the characteristics of an intelligent sensor?

While the basic sensor can only sense and emit unprocessed signals to an outer system, the intelligent sensor is designed with numerous functions such as self-identification, self-testing, self-confirmation or self-adaptation. It can perceive, reason, compute and communicate.


3. What is intelligent sensor technology?

An intelligent sensor is a sensor that takes some predefined action when it senses the appropriate input (light, heat, sound, motion, touch, etc.).


4. What is the difference between a sensor and Smart Sensor?

The smart sensor is the real sensor that is used for the computer. The smart sensor is part of the sensor. Then, the other difference between the sensor and the smart sensor is the use of the smart sensor is used of the sensor in PC. The smart sensor in PC is the brain of the computer. The smart sensor of PC is the real function of Industrial Automation.


5. How do smart sensors work?

Sensors capture data from preferred environments and transform their physical properties into measurable electrical signals. The electrical signals are then processed by a microprocessor to give outputs that correspond to a set of actions.


6. What is a sensor explain briefly?

A sensor is a device that measures physical input from its environment and converts it into data that can be interpreted by either a human or a machine. Most sensors are electronic (the data is converted into electronic data), but some are more simple, such as a glass thermometer, which presents visual data.


7. Why Smart Sensor is used in industrial applications?

Smart sensors are used to monitor different industrial processes, collecting data, taking measurements, and sending the data to centralized cloud computing platforms where information is collected and analyzed for patterns. This data can be monitored by key decision-makers at any time.


8. What are the basic parts of a sensor?

Sensors, in their most general form, are systems possessing a variable number of components. Three basic components have already been identified: a sensor element, sensor packaging and connections, and sensor signal processing hardware. However, there are additional components to certain sensors.


9. What is the principle of the sensor?

Electrical sensors have the ability to transform electric potentials, fields and charges into electrical signals. Since the source measurand is already of electrical nature, these sensors use the direct sensing principle. A commonly used example is that of the physiological electrodes.


10. What are smart sensor nodes?

A Smart Sensor Node Design for Efficient Communication in ZigBee Wireless Sensor Networks. The nodes combine with a micro-computer unit (MCU) and a ZigBee module. The smart sensor node can transmit preprocessed sensing information or case status to a base station instead of transmitting raw sensing data.



Book Recommendation


  • Intelligent Sensor Design Using the Microchip dsPIC (Embedded Technology)

Intelligent seonsors are revolutionizing the world of system design in everything from sports cars to assembly lines. These new sensors have abilities that leave their predecessors in the dust! They not only measure parameters efficiently and precisely, but they also have the ability to enhance and interupt those measurements, thereby transforming raw data into truly useful information.Unlike many embedded systems books that confine themselves strictly to firmware and software, this book also delves into the supporting electronic hardware, providing the reader with a complete understanding of the issues involved when interfacing to specific types of sensor and offering insight into the real-world problems designers will face. The examples provide a complete, easily extensible code framework for sensor-based applications as well as basic support routines that are often ignored or treated superficially. The goal throughout is to make readers truly productive as quickly as possible while providing the thorough understanding necessary to design robust systems.

--Creed Huddleston(Author)

  • Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning

Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning.Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, including compressive sensing and sampling, distributed signal processing, and intelligent signal learning. Presenting recent research results of world-renowned sensing experts, the book is organized into three parts:Machine Learning,Signal Processing,Networking.

--Fei Hu (Editor),‎ Qi Hao (Editor)

  • Smart Sensors Networks: Communication Technologies and Intelligent Applications (Intelligent Data-Centric Systems: Sensor Collected Intelligence)

Smart Sensors Networks: Communication Technologies and Intelligent Applications explores the latest sensor and sensor networks techniques and applications, showing how networked wireless sensors are used to monitor and gather intelligence from our surrounding environment.It provides a systematic look at the unique characteristics of wireless sensor networks through their usage in a broad range of areas, including healthcare for the elderly, energy consumption, industrial automation, intelligent transportation systems, smart homes and cities, and more.

--Fatos Xhafa (Editor),‎ Fang-Yie Leu (Editor),‎ Li-Ling Hung (Editor)



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