Wireless and mobile data networks provides a single point of knowledge about wireless data technologies, including. In this method, multiple mobile agents work in parallel to perform fusion. The applications of the mwsns can be widely divided into timedriven, eventdriven, ondemand and. We extend a relocation strategy that is based on the disc model 18 to the data fusion model. In this computing model, data stay at the local site, while the fusion process code is moved to the data sites.
Other readers will always be interested in your opinion of the books youve read. The algorithms described in this book are evaluated with. The third year of the psi project was marked with increased effort in translating research ideas to fullfledged prototype development in overlapping domains of wireless sensor networks, computer and network security, pervasive computing, machine learning, and databases. The main advantages of using wsn multicamera localization and tracking. However the existing data fusion schemes lead to additional delay overhead and power consumptions. First, the definition of data fusion survivability is put forward, and the data fusion model of wsn is constructed.
Mobile agent middleware for autonomic data fusion in wireless sensor networks. One of the most important challenges of such networks is the distributed management of the huge amount of data produced by sensors in network to reduce data traffic in network and minimize the energy. Pdf mobile wireless sensor networks mwsns have emerged and shifted. Mobile wireless sensor network mwsn is one of the rising and emerging technologies for various application of nwgn, the enormous concerns of these networks are data. In addition, the gating technique is also applied to solve the problem of msdft mobilesensor data fusion tracking for targets, i. Algorithms, architectures, and applications ii the information fusion journal is planning the 2nd edition of the special issue on advances in multi sensor fusion for body sensor networks. Data fusion techniques reduce total network traffic in a wireless sensor network, since data fusion can integrate multiple raw data sets into one fused data set. Mwsns are a smaller, emerging field of research in contrast to their wellestablished predecessor.
The aim of this study is to classify the existing literature of this fast emerging application area of cognitive radio wireless sensor networks, highlight the key research that has already been undertaken, and indicate open problems. Data fusion and collaborative state estimation in wireless sensor networks hiba haj chhade to cite this version. We consider the qoutofm rule, which is popular in distributed detection and can achieve a good tradeoff between the miss detection probability and the false alarm rate. A novel data fusion strategy based on extreme learning. Works in this series will include edited volumes, books and monographs and will provide full coverage of leading computing paradigms and technologies, development applications, empirical studies, and future trends in the multidisciplinary field comprising smart sensors, smart sensor networks, data analysis, and machine intelligence methods.
Energy management in wireless sensor networks 1st edition. Citeseerx optimal itinerary analysis for mobile agents in. In this paper, we describe the usage of mobile agent for data fusion in wsns. Among many feasible data sources, wireless sensor networks. Data fusion and collaborative state estimation in wireless. Wireless sensor networks presents the latest practical solutions to the design issues presented in wireless sensor networkbased systems. In this paper, we present a middleware to realize mobile agentbased data fusion on wireless sensor networks nodes, which is implemented entirely in tinyos and has been tested on telosb motes.
It uses mobile agent communication to decide the filtering or merging on data. Data fusion in wireless sensor networks ieee conference. This paper presents the data fusion survivability analysis model of wireless sensor network wsn based on stochastic petri net spn. Novel features of the text, distributed throughout, include workable solutions, demonstration systems and case studies of the design and application of wireless sensor networks wsns based on the firsthand research and development experience of the author, and the chapters on real applications. Handling sensing data errors and uncertainties in wsn while maximizing network lifetime are important issues in the design of applications and protocols for wireless sensor networks. On the other hand, sensors communicate through wireless networks where the network bandwidth is much lower than for wired communication. Saad, nasrullah armi, nidal kamel abstractduring the last decades. Different from existing schemes, mfst not only optimizes over the data transmission cost, but also incorporates the cost for data fusion, which can be significant for. We show that data fusion results in lower network density without increasing the moving distance of mobile sensors.
Location tracking in a wireless sensor network by mobile agents and its data fusion strategies. Data fusion is the process of integrating multiple data sources to produce more consistent, accurate, and useful information than that provided by any individual data source data fusion processes are often categorized as low, intermediate, or high, depending on the processing stage at which fusion takes place. Mar 11, 2020 positioning capability is a feature of virtually all types of mobile wireless terminals and networks, among them cellular, wifi, bluetooth, internet of things, and wireless sensor networks, in addition to of course navigation devices. Data fusion and collaborative state estimation in wireless sensor networks. Research on the wireless sensor network data fusion. The iet shop data fusion in wireless sensor networks. Written for the signal processing, communications, sensors and information fusion research communities, it covers the emerging area of data fusion in wireless sensor networks. Data fusion can effectively reduce the volume of data transmission in the network, reduce the energy consumption to extend network lifetime and improve bandwidth utilization, as a result, it can overcome the restriction. Multiorder fusion data privacypreserving scheme for. Pdf mobile agent middleware for autonomic data fusion in. Many strategies have been devised over the years for improving performance of wireless sensor networks with special consideration to energy efficiency. Data fusion in wireless sensor network can realize different protocol layers, based on the introduction of wireless sensor network and data fusion related knowledge. The term data aggregation has become popular in the wireless sensor network com munity as a synonym for information fusion kalpakis et al.
May 16, 2017 recent advancements in sensor technology, wireless networks and consequently wireless sensor networks and the increase in their applications in different fields have led to their great importance. In this paper an algorithm of data fusion to track both of nonmaneuvering and maneuvering targets with mobile sensors deployed in an wsn wireless sensor network is proposed and investigated. In typical wireless sensor networks, sensor nodes are usually limited in resources and energy. Mar 25, 2019 in this tutorial, we will learn about what are wireless sensor networks or wsn, what are the motivations for development of wireless sensor networks, different applications of wireless sensor networks, the topologies behind the network node and many other topics. An algorithm of mobile sensors data fusion tracking for. To save more energy, in network processing such as data fusion is a widely used technique, which, however, may often lead to unbalanced information among nodes in the data fusion tree.
Data fusion utilization for optimizing largescale wireless sensor networks mohammadreza soltani, michael hempel, hamid sharif advanced telecommunications engineering laboratory, dept. Resourceaware data fusion algorithms for wireless sensor networks ebook written by ahmed abdelgawad, magdy bayoumi. The data fusion survivability analysis technology of wireless. From algorithms and architectural design to applications. The design of largescale sensor networks interconnecting various sensor nodes has spurred a great deal of interest due to its wide variety of applications. It presents the physics and principles of operation and discusses sensor selection, ratings and performance specifications, necessary hardware and software for integration into an engineering system, and signal processing and data analysis. Decisionmaking and fusion for mobile wireless sensor networks. The wireless sensor network is an emerging technology that may greatly aid humans by providing ubiquitous sensing, computing and communication capabilities, through which people can more closely interact with the. Resourceaware data fusion algorithms for wireless sensor. Developing a fusion application is challenging in general, for the fusion operation typically requires timecorrelation and synchronization of data streams coming from several distributed sources. Routing correlated data with fusion cost in wireless. Multiorder fusion data privacypreserving scheme for wireless.
Pdf a data fusion method in wireless sensor networks. In this paper, we propose a routing algorithm called minimum fusion steiner tree mfst for energy efficient data gathering with aggregation fusion in wireless sensor networks. Read resourceaware data fusion algorithms for wireless sensor networks by ahmed abdelgawad available from rakuten kobo. In the first phase, we used a network simulation where mobile agents dynamically select the next hop migration node based on the stability parameter of the link, and perform the.
Special issue on advances in multi sensor fusion for body sensor networks. We present a data fusion scheme for use in mobile wireless sensor networks with high energy efficiency and low network delays, that still produces reliable. To resolve the above problems, an energyefficient sleep scheduling mechanism with similarity measure for wireless sensor networks essm is proposed, which will schedule the sensors into the active or sleep mode to reduce energy consumption. Algorithms and architectures tackles important challenges and presents the latest trends and. Willett decentralized detection via running consensus data fusion in wireless sensor networks.
Multiple mobile agentbased autonomic data fusion large scale sensor networks support multi mobile agentbased autonomic fusion technique. Resourceaware data fusion algorithms for wireless sensor networks lecture notes in electrical engineering abdelgawad, ahmed, bayoumi, magdy on. Wireless sensor networks presents a comprehensive and tightly organized compilation of chapters that surveys many of the exciting research developments taking place in this field. Wireless sensor networks wsns are composed of a large number of spatially distributed autonomous sensor nodes. This paper proposes a new data fusion approach which is based on the mobile agent technology. When a mobile cloud involves heterogeneous client networks, such as wireless sensor networks and vehicular networks, the security problem becomes more challenging because the client networks often have different security requirements in terms of computational complexity, power consumption, and security levels. Wireless sensor networks wsns have been increasingly available for critical applications such as security surveillance and environmental monitoring. An intelligent data gathering schema with data fusion supported for mobile sink in wireless sensor networks show all authors. When a mobile cloud involves heterogeneous client networks, such as wireless sensor networks and vehicular networks, the security problem becomes more challenging because the client networks often have different security requirements in terms of computational. An important performance measure of such applications is sensing coverage that characterizes how well a sensing field is monitored by a network. Wireless sensor networks are used to monitor wine production, both in the field and the cellar. To save more energy, in network processing such as data fusion is a widely used technique, which, however, may often lead to unbalanced information among nodes in the data fusion.
Download for offline reading, highlight, bookmark or take notes while you read resourceaware data fusion algorithms for wireless sensor networks. This paper focuses on the challenges involved in supporting fusion applications in wireless ad hoc sensor networks wasn. Wireless sensor network wsn is a kind of energy constrained network, by using data fusion technology, the elimination of redundant data, can save energy, prolong the network life purpose. Resourceaware data fusion algorithms for wireless sensor networks lecture notes in electrical engineering. Varshney, multiobjective evolutionary algorithms for wireless sensor network design, multiobjective optimization in computational intelligence. Part iii is on data storage and manipulation in sensor networks, and part iv deals with security protocols and mechanisms for wireless sensor networks. A machine learning based intrusion detection scheme for data. Comprehensive easyto understand resource on wireless data technologies includes wireless media, data transmission via cellular networks, and network security provides a single point of knowledge about wireless data. These are similar to wireless ad hoc networks in the sense that.
Distributed detection in mobile access wireless sensor. Another approach to utilize a mobile data collector is presented in. Information fusion data fusion in heterogeneous networks. A method to reduce energy consumption and, as a result, increase the network lifetime is the fusion of data collected from the sensors in the covered environment before transmission to wireless sensor network. It is an interdisciplinary domain that consists of wireless and wired communication, algorithms and protocols as well as energy sources to supply these networks. Wireless communication and mobile computing, 8 2008, pp. Data redundancy implications in wireless sensor networks. Whether youve loved the book or not, if you give your honest and detailed thoughts then people will find new books that are right for them. Design and analysis of a data fusion scheme in mobile wireless. A machine learning based intrusion detection scheme for data fusion in mobile clouds involving heterogeneous client networks. Energyefficient and reliable transmission of sensory information is a key problem in wireless sensor networks. Publications of professor yonghe liu, research areas. Data aggregation is necessary for wireless sensor networks.
Information fusion for data dissemination in selforganizing wireless sensor networks. There is a book chapter on big data management in wsn edited by. Mobile wireless sensor networks mwsns have emerged and shifted the focus from the typical static wireless sensor networks to networks with mobile sensor nodes that are capable to sense the various types of events. Data fusion in mobile wireless sensor networks muhammad arshad, member, iaeng, mohamad alsalem, farhan a. Energy consumption in wireless sensor networks using data. The improved availability of sensor nodes has caused an increase in the number of researchers studying sensor networks. In wireless sensor network, data fusion or data aggregation is the key technology to decrease power consumption and improve accuracy of data collection.
Mobile agent based data fusion for wireless sensor. In this section, we describe innetwork processing in wsn. This book constitutes the refereed proceedings of the 11th china conference on wireless sensor networks, cwsn 2017, held in tianjin, china, in october 2017. Sep 02, 2005 the state of the art of sensor networks written by an international team of recognized experts in sensor networks from prestigious organizations such as motorola, fujitsu, the massachusetts institute of technology, cornell university, and the university of illinois, handbook of sensor networks. This paper explores reliable data fusion in mobile access wireless sensor networks under byzantine attacks. Basics of wireless sensor networks wsn classification. Mobile wireless sensor networks mwsns have emerged and shifted the.
Fanresearch on the wireless sensor network data fusion technology. Scalable structurefree data fusion on wireless sensor networks. Localization based on magnetic and rss data fusion with. A statistical signal processing perspective, published by the institute of engineering and technology iet, apr. Data fusion, data collection, mobile sink, rendezvous points rps, wireless sensor networks wsns. In order to reduce the data processing load on bs and efficiently distinguish the authenticity of archived data, izadi et al. As an important element of internet of things, wireless sensor networks wsn are composed of many compact microsensors. Numerous tiny sensors are restricted with energy for the wireless sensor networks since most of them are deployed in harsh environments, and thus it is impossible for battery rechange. These messages are transmitted through the wsn for data fusion. However, the security or assurance of the data requires more processing power and is an. Citeseerx document details isaac councill, lee giles, pradeep teregowda. This book describes the advanced tools required to design stateoftheart inference algorithms for inference in wireless sensor networks. Location tracking in a wireless sensor network by mobile. These techniques can be used in centralized and distributed systems to overcome sensor failure, technological limitation, and spatial and temporal coverage problems.
Expert guidance on integrating wifi, wimax, and zigbee into seamless wireless networks the latest methods for ensuring security across the wireless network in depth coverage of data fusion principles vital information on smartmesh networking in sensornets autonomic selfware and bioinspired communication. Jun 21, 2018 in wireless sensor networks, the high density of nodes distribution will result in transmission collision and energy dissipation of redundant data. Mobile agentbased clustering data fusion here, two cluster head models is used to control the cluster size. Mobile agent system provides us with a new way to realize distributed collaborative information processing in sensor networks. Data fusion is a research area that is growing rapidly due to the fact that it provides means for combining pieces of information coming from different sourcessensors, resulting in ameliorated overall system performance improved decision making, increased detection capabilities, diminished number of false alarms, improved reliability in various situations at hand with respect to separate. Wireless sensor network wsn refers to a group of spatially dispersed and dedicated sensors for monitoring and recording the physical conditions of the environment and organizing the collected data at a central location. Location tracking in a wireless sensor network by mobile agents and its data fusion strategies tseng y. We present a data fusion scheme for use in mobile wireless sensor networks with high energy efficiency and low network delays, that still produces reliable results.
In proceedings of the 4th international conference on networking icn 2005, p. In this paper, the data fusion process of mobile heterogeneous wireless sensor networks is mainly studied, and regards the nodes of wireless sensor. A machine learning based intrusion detection scheme for. Wireless sensor networks presents the latest practical solutions to the design issues presented in wireless sensor network based systems. A statistical signal processing perspective book chapter, 2019. Sensor systems covers sensors and multiple sensor systems, including sensor networks and multi sensor data fusion.
Wireless positioning and location live course 11 march 2020. Decision fusion in cognitive wireless sensor networks. This book introduces resourceaware data fusion algorithms to gather and combine data from multiple sources e. Wireless sensor networks for big data systems ncbi. Data fusion and topology control in wireless sensor networks.
An energyefficient sleep scheduling mechanism with. Also, they can change their position frequently in a specific sensing area. Varshney, geographic routing in wireless ad hoc networks, book chapter, guide to wireless ad hoc. Intelligent data fusion algorithm based on hybrid delayaware.
An intelligent data gathering schema with data fusion. Data fusion improves the coverage of wireless sensor networks. To guarantee efficiency and durability in a network, the science must go beyond hardware solutions and seek alternative software solutions that allow for better data control from the source to delivery. Mobile healthcare onboard vehicles to promote safe driving. Chapters are written by several of the leading researchers exclusively for this book. The effective use of data fusion in sensor networks is not new and has had extensive application to surveillance, security, traffic control, health care, environmental and industrial monitoring in the last decades. Energy management in wireless sensor networks discusses this unavoidable issue in the application of wireless sensor networks wsn. This edited book has dealt with data fusion in wireless sensor networks wsns from a statistical signalprocessing perspective.
Salvo rossi, data fusion in wireless sensor network. In order to ensure that the wireless sensor networks can securely collect data and secure the data collected by wireless sensor networks user privacy information, especially, is not stolen, mofdp algorithm has increased the difficulty of cracking from three aspects to achieve the 3order stereo protection, based on the idea of increasing the. Aug 22, 20 research in this area is still in its infancy, but it is progressing rapidly. This chapter focuses on a cognitive wireless sensor network wsn, where a primary wireless sensor network pwsn is colocated with a cognitive sensor network. In this paper, we present a fuzzybased data fusion approach for wsn with the aim of increasing the qos whilst reducing the energy consumption of the sensor network. Data fusion can effectively reduce the amount of data transmission and network energy consumption in wireless sensor networks wsns. Wsns measure environmental conditions like temperature, sound, pollution levels, humidity, wind, and so on. Authors address many of the key challenges faced in the design, analysis and deployment of wireless sensor networks. In addition to networking, data management is an important challenge given the high volumes of data that are generated by sensor nodes. In order to effectively reduce the redundant information transmission in the network, a data fusion algorithm based on extreme learning machine optimized by bat algorithm for mobile heterogeneous wireless sensor networks is proposed. Data fusion with desired reliability in wireless sensor. 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.
Novel features of the text, distributed throughout, include workable solutions, demonstration systems and case studies of the design and application of wireless. Localization and tracking using camerabased wireless sensor. Wireless sensor networks wsns are resourceconstrained networks, especially when the energy is highly constrained. Based on the management pattern of cluster structure, in 1, conti et al. Introduction from an electronics engineers perspective, a sensor is a device that is used to. In this paper, we have presented a fuzzybased method for data fusion. Data fusion in wireless sensor networks a statistical. Yuchee tseng, shengpo kuo, hungwei lee, and chifu huang department of computer science and information engineering national chiaotung university hsinchu, 30050, taiwan email. A mobile wireless sensor network mwsn can simply be defined as a wireless sensor network wsn in which the sensor nodes are mobile. Basic concepts of wireless data networks network architecture applications development of wireless networks alternatives for physical transmission medium access control design basic operation of mobile data networks.
Mobile wireless sensor network mwsn is one of the rising and emerging technologies for various application of nwgn, the enormous concerns of these networks are data gathering with energy efficiency. The proposed algorithm can greatly increase the safety and accuracy of data fusion, improve communication efficiency, save energy of sensor node, suit different application fields, and deploy environments. Lowlevel data fusion combines several sources of raw data to produce new raw data. Data mining and fusion techniques for wsns as a source of the. Data fusion based on node trust evaluation in wireless sensor. Data fusion is a critical step in designing a wireless sensor network as it handles data acquired by sensory devices. Design and analysis of a data fusion scheme in mobile. Data fusion in wireless sensor networks using fuzzy systems. Wireless sensor networks presents the latest practical solutions to the design issues presented in wirelesssensornetworkbased.
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