Part of the lecture notes in computer science book series lncs, volume 4808. A new method for node fault detection in wireless sensor networks. As one of the key technologies involved in wsns, node fault detection is indispensable in most wsn applications. Request pdf distributed fault detection of wireless sensor networks wireless. Although fault detection can not usually depend on the physical redundancy of system sensors, due to. Cooperative virtual sensor for fault detection and identification in multiuav applications. Using sensorranks for innetwork detection of faulty. Wsns have unique specifications of themselves that describe them different from other networks. Wireless sensor network wsn is strongly affirmed as an indispensable technology that exploits sensor nodes sns key abilities sensing, processing and communication to achieve limitless remote sensing applications in many fields such as data. Professor mingyan liu, cochair associate professor jerome p. Distributed fault detection for wireless sensor networks based on. Monitoring, control and automation explores the explosive growth that has occurred in the use of wireless sensor networks in a variety of applications during the last few years. Accordingly, a databased faultdetection algorithm was implemented in. The goal of this paper is to locate the faulty sensors in the wireless sensor networks.
This paper presents a distributed fault detection algorithm for wireless sensor networks. Fault detection and diagnosis for invehicle networks. This paper introduces our exploratory work toward identifying the targets in sensor networks with faulty sensors. The study of wireless sensor networks is challenging in that it requires an enormous breadth of knowledge from an enormous variety of disciplines. The final part focuses on target detection and habitat monitoring applications of sensor networks. Wireless sensor networks introduction to wireless sensor networks february 2012 a wireless sensor network is a selfconfiguring network of small sensor nodes communicating among themselves using radio signals, and deployed in quantity to sense, monitor and understand the physical world. Zigbee wireless networks and transceivers shahin farahni 2. Sensor fault detection in wireless sensor networks iet conference. Fault tolerance is one of the most significant of many challenges in these networks.
Case study towards paper integration of rfid into wireless sensor networks. Wireless sensor networks wsns have become a new information. In selection from industrial wireless sensor networks book. Hybrid continuous density hmmbased ensemble neural. A wireless sensor network wsn is formed by the joint sensing and reporting the operation of some lowpowered wireless sensor nodes deployed in an area of interest. A detecting faulty nodes with data errors for wireless sensor. Wireless sensor network wsn deployment experiences show that collected data is prone to be faulty. Fault detection in wireless sensor networks through svm. Sensor network localization systems and network management techniques are covered in part v. We explore both spatial and temporal dimensions for data aggregation to decrease the false alarm rate and improve the target position accuracy. Faulttolerant target detection and localization is a challenging task in collaborative sensor networks.
Faults are due to internal and external influences, such as calibration, low. Distance based fault detection in wireless sensor network ayasha siddiqua, shikha swaroop, prashant krishan, sandip mandal department of information technology, dit, dehradun, uttarakhand. This book is intended for researchers starting work in the field and for practitioners seeking a comprehensive overview of the various aspects of building a sensor network. These networks are used to monitor physical or environmental conditions like sound, pressure, temperature, and cooperatively pass data through the network to the main location as shown in the figure. Distributed bayesian algorithms for faulttolerant event region detection in wireless sensor networks. With the expansion of smart agriculture, wireless sensor networks are being increasingly applied. We have proposed fault detection algorithm for diagnosing the hardware fault and implemented the algorithm which is having better performance over the existing algorithm. Fault detection of wireless sensor networks computer. Nov 19, 2012 fault detection in wireless sensor network 1. With that in mind, this book presents the concept of using minimal neighbor sensors in the detection process. In this mesh topology, sensor nodes must not only capture and disseminate their own data, but also serve as relays for other sensor nodes, that is, they must collaborate to propagate sensor data towards the base station. Fast and simple online sensor fault detection scheme for. Fault detection in wireless sensor networks a thesis submitted in partial fulfillment of the requirements for the degree of bachelor in technology in computer science and technology by. Faulty sensor nodes are identified based on comparisons between neighboring nodes and dissemination of the.
Jul 01, 2005 part iii is on data storage and manipulation in sensor networks, and part iv deals with security protocols and mechanisms for wireless sensor networks. Fault detection scheme for wireless sensor networks. Distributed faulttolerant detection in wireless sensor. Wireless sensor networks wsn provide a bridge between the real physical and virtual worlds allow the ability to observe the previously unobservable at a fine resolution over large spatiotemporal scales have a wide range of potential applications to industry. The ch periodically receives the monitoring data from the sensors and follows the fault detection algorithm set by the sdn to detect the faulty sensors in the network. In order to maintain the network quality of service, it is mandatory for wsn to be able to detect the faults and. The fault detection in wsns is a challenging problem due to sensor resources limitation and the variety of deployment field. Fault detection modelling and analysis in a wireless sensor. Faulttolerant target localization in sensor networks. In the fault detection of wireless sensor networks, we assume that all the sensor nodes have the same transmission range. The fault detection algorithm uses a statistical trimean method to detect the faulty sensors. Keywordswireless sensor network, fault detection, fault diagnosis.
Fault detection of wireless sensor networks sciencedirect. Today wireless sensor networks wsns emerge as a revolution in all aspects of our life. In this chapter we outline communication networks, wireless sensor networks and smart sensors, physical transduction principles, commercially available wireless sensor systems, self. Architectures, opportunities and challenging problems 2006 1. Fault detection in wireless sensor networks a thesis.
Sensor devices in wireless sensor networks are vulnerable to faults during their operation in unmonitored and hazardous environments. Maldonado, models for wireless sensor networks fault detection and identification, submitted to international journal of information technology and decision making, april 2016. Wireless sensor networks is an essential textbook for advanced students on courses in wireless communications, networking and computer science. Part of the communications in computer and information science book series ccis. We propose and evaluate a localized fault detection algorithm to identify the faulty sensors. An efsm based fault detection model for wireless sensor. Fault detection in wireless sensor networks through the random. Fuzzy rulebased faulty node classification and management. The performance evaluation is tested through simulation to evaluate some factors such as. Faulty node detection in wireless sensor networks using cluster. Though various methods have been proposed by researchers to detect sensor faults, only very few research studies have reported on capturing the dynamics of the inherent states in sensor data during fault occurrence.
The book provides a comprehensive view to this rapidly evolving field, including its many novel applications, ranging from protecting civil infrastructure to pervasive health monitoring. Wireless sensor network data fault function fault detection algorithm. Because of advances in microsensors, wireless networking and embedded processing, ad hoc networks of sensor are becoming increasingly available for commercial, military, and homeland security applications. Therefore, we propose an uncertaintybased distributed fault detection through aided judgment of neighbors for wireless sensor networks. These networks collect environmental information, such as temperature, humidity, and co2 rates. Hybrid continuous density hmmbased ensemble neural networks. Distributed bayesian algorithms for fault tolerant event region detection in wireless sensor networks. Cooperative virtual sensor for fault detection and. Investigation of fault detection methods in wireless sensor networks charalampos orfanidis kongens lyngby 2014 immm. Accurate monitoring and fault detection in wind measuring. Systems in the university of michigan 2014 doctoral committee.
It will also be of interest to researchers, system and chip designers, network planners, technical mangers and other professionals in these fields. Faults are due to internal and external influences, su. Finite power supplies and limited communication bandwidth within wireless sensor networks mean applications must use these resources efficiently. Fault management in eventdriven wireless sensor networks. Exchanging too many messages for fault detection will cause not only a degradation of the network quality of service, but also represents a huge burden on the limited energy of sensors. Detecting faulty nodes with data errors for wireless sensor networks a. Wireless sensor networks fusion technique sensor fault detection distributed. Faults are due to internal and external influences, such as calibration, low battery, environmental interference and sensor aging. E cient sensor fault diagnosis in wireless sensor networks. Almost all the techniques of fault detection and isolation fdi described in the literature can be applied to sensor validation 1. Distance based fault detection in wireless sensor network. Fault detection of actuator with digital positioner based on trend analysis method.
It is also an invaluable reference resource for all wireless network professionals. Sensor network data fault detection with maximum a posteriori. In this book, the authors describe the fundamental concepts and practical aspects of wireless sensor networks. Introduction to wireless sensor networks types and applications. Fault detection is a method of crucial importance to guarantee quality of service qos in industrial wireless sensor network iwsn. Sep 05, 2008 in the fault detection of wireless sensor networks, we assume that all the sensor nodes have the same transmission range. The implementation complexity of the algorithm is low and the probability of correct diagnosis is very high even in the existence of large fault sets. An uncertaintybased distributed fault detection mechanism. Wsns have unique specifications of themselves that. Investigation of fault detection methods in wireless sensor. Which book is the best to study about wireless sensor networks. Efficient sensor fault diagnosis in wireless sensor networks.
A distributed localized fault sensor detection algorithm for wireless sensor networks dlfs is proposed in 11, and the mutual test results between nodes and neighboring nodes are utilized to. Accordingly, a databased fault detection algorithm was implemented in. Distributed fault detection of wireless sensor networks request pdf. Sensor nodes can be randomly deployed or placed in predetermined locations. An efficient fault detection algorithm in wireless sensor network. Distributed fault detection of wireless sensor networks. This concept can be used when deploy sensors strategically in building sensor networks. E cient sensor fault diagnosis in wireless sensor networks by chun lo a dissertation submitted in partial ful llment of the requirements for the degree of doctor of philosophy electrical engineering. Computers and internet drone aircraft technology application usage foreign direct investment foreign investments unmanned aerial vehicles. This thesis proposes two frameworks of efficient sensor fault diagnosis.
Therefore, detecting sensor nodes with faulty readings, which can greatly improve the performance of the wireless sensor network, is necessary. However, if a faulty sensor node operates continuously in the network, unnecessary data transmission adversely impacts the network. In proceedings of the 5th international conference on information processing in sensor networks ipsn06. Nodes with faulty sensors and permanent communication faults are to be identified. Fault management, an essential component of any network management system, will play an equal, if not more, crucial role in wsns. The collaborative nature of industrial wireless sensor networks iwsns brings several advantages over traditional wired industrial monitoring and control systems, including selforganization, rapid deployment, flexibility, and inherent intelligent processing. In proceedings of the 2006 workshop on dependability issues in wireless ad hoc networks and sensor networks pp. Wireless sensor networks wsns are prone to many failures such as hardware failures, software failures, and communication failures. Fault detection modelling and analysis in a wireless sensor network. Faulty node detection in wireless sensor networks using. Because wireless sensor networks have limited energy resources and consist of a large number of sensors, there is a need for fast and power efficient sensor fault diagnosis algorithms.
Computers and internet energy consumption models wireless sensor networks. Information processing in sensor networks is a rapidly emerging area of computer science and electrical engineering research. Novel approach for fault detection in wireless sensor network. Wireless sensor networks are used to monitor wine production, both in the field and the cellar. Failure detection, in particular, is vital not only for fault management, but also for security and performance. Part iii is on data storage and manipulation in sensor networks, and part iv deals with security protocols and mechanisms for wireless sensor networks. Wireless sensor networks wsns are vulnerable to faults because of their deployment in unpredictable and hazardous environments.
Wireless sensor networks wsns can be defined as a selfconfigured and infrastructureless wireless networks to monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants and to cooperatively pass their data through the network to a main location or sink where the data can be observed. Wireless sensor networks can be used to monitor the condition of civil infrastructure and related geophysical processes close to real time, and over long periods through data logging, using appropriately interfaced sensors. Maldonado, models for wireless sensor networks fault detection and identification, submitted to international journal of. To address these issues, we propose a fuzzy rulebased faulty node classification and management scheme for wsns that can detect and reuse faulty sensor nodes according to their fault status. Faulty sensor nodes are identified based on the similarity test o. Resulting traditional fault detection methods suffer from low detection accuracy and poor performance. Monitoring, control and automation explores the explosive growth that has occurred in the use of wireless sensor networks in a. A databased faultdetection model for wireless sensor networks. Wsn is a wireless network that consists of base stations and numbers of nodes wireless sensors.
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