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. Among many feasible data sources, wireless sensor networks. Pdf a data fusion method in wireless sensor networks. This paper focuses on the challenges involved in supporting fusion applications in wireless ad hoc sensor networks wasn. 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. Energy management in wireless sensor networks discusses this unavoidable issue in the application of wireless sensor networks wsn. Research on the wireless sensor network data fusion. Data aggregation is necessary for wireless sensor networks. Other readers will always be interested in your opinion of the books youve read. Location tracking in a wireless sensor network by mobile agents and its data fusion strategies tseng y. Introduction from an electronics engineers perspective, a sensor is a device that is used to. Read resourceaware data fusion algorithms for wireless sensor networks by ahmed abdelgawad available from rakuten kobo. Wireless sensor networks wsns have been increasingly available for critical applications such as security surveillance and environmental monitoring.
Multiorder fusion data privacypreserving scheme for wireless. 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. Data fusion utilization for optimizing largescale wireless sensor networks mohammadreza soltani, michael hempel, hamid sharif advanced telecommunications engineering laboratory, dept. Another approach to utilize a mobile data collector is presented in. 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. Wsns measure environmental conditions like temperature, sound, pollution levels, humidity, wind, and so on. Wireless sensor networks wsns are composed of a large number of spatially distributed autonomous sensor nodes. The term data aggregation has become popular in the wireless sensor network com munity as a synonym for information fusion kalpakis et al. 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.
Resourceaware data fusion algorithms for wireless sensor networks ebook written by ahmed abdelgawad, magdy bayoumi. The main advantages of using wsn multicamera localization and tracking. Special issue on advances in multi sensor fusion for body sensor networks. Many strategies have been devised over the years for improving performance of wireless sensor networks with special consideration to energy efficiency. In typical wireless sensor networks, sensor nodes are usually limited in resources and energy.
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. 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. Download for offline reading, highlight, bookmark or take notes while you read resourceaware data fusion algorithms for wireless sensor networks. There is a book chapter on big data management in wsn edited by. 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. Localization based on magnetic and rss data fusion with. Data fusion and collaborative state estimation in wireless. 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. 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. This book constitutes the refereed proceedings of the 11th china conference on wireless sensor networks, cwsn 2017, held in tianjin, china, in october 2017. Data fusion is a critical step in designing a wireless sensor network as it handles data acquired by sensory devices. The data fusion survivability analysis technology of wireless.
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. A novel data fusion strategy based on extreme learning. Distributed detection in mobile access wireless sensor. In this section, we describe innetwork processing in wsn. This paper presents the data fusion survivability analysis model of wireless sensor network wsn based on stochastic petri net spn. A machine learning based intrusion detection scheme for. 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. 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. It is an interdisciplinary domain that consists of wireless and wired communication, algorithms and protocols as well as energy sources to supply these networks. Mobile agentbased clustering data fusion here, two cluster head models is used to control the cluster size.
First, the definition of data fusion survivability is put forward, and the data fusion model of wsn is constructed. Data fusion and collaborative state estimation in wireless sensor networks. Information fusion for data dissemination in selforganizing wireless sensor networks. Scalable structurefree data fusion on wireless sensor networks. We show that data fusion results in lower network density without increasing the moving distance of mobile sensors. This book introduces resourceaware data fusion algorithms to gather and combine data from multiple sources e. In addition, the gating technique is also applied to solve the problem of msdft mobilesensor data fusion tracking for targets, i. On the other hand, sensors communicate through wireless networks where the network bandwidth is much lower than for wired communication. Energy consumption in wireless sensor networks using data. 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. 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. 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. Decisionmaking and fusion for mobile wireless sensor networks.
Resourceaware data fusion algorithms for wireless sensor networks lecture notes in electrical engineering abdelgawad, ahmed, bayoumi, magdy on. These messages are transmitted through the wsn for data fusion. 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. Willett decentralized detection via running consensus data fusion in wireless sensor networks. In this paper, we describe the usage of mobile agent for data fusion in wsns. 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. However the existing data fusion schemes lead to additional delay overhead and power consumptions. Wireless sensor networks presents the latest practical solutions to the design issues presented in wireless sensor networkbased systems. Jun 21, 2018 in wireless sensor networks, the high density of nodes distribution will result in transmission collision and energy dissipation of redundant data. 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. Wireless sensor networks are used to monitor wine production, both in the field and the cellar. 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. Data redundancy implications in wireless sensor networks.
The iet shop data fusion in wireless sensor networks. In this method, multiple mobile agents work in parallel to perform fusion. An important performance measure of such applications is sensing coverage that characterizes how well a sensing field is monitored by a network. This paper proposes a new data fusion approach which is based on the mobile agent technology. These are similar to wireless ad hoc networks in the sense that. Varshney, geographic routing in wireless ad hoc networks, book chapter, guide to wireless ad hoc. In this computing model, data stay at the local site, while the fusion process code is moved to the data sites. 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. This paper explores reliable data fusion in mobile access wireless sensor networks under byzantine attacks. 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. Routing correlated data with fusion cost in wireless. 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. Lowlevel data fusion combines several sources of raw data to produce new raw data. An energyefficient sleep scheduling mechanism with.
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. The algorithms described in this book are evaluated with. Mobile agent based data fusion for wireless sensor. Location tracking in a wireless sensor network by mobile agents and its data fusion strategies. 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. Written for the signal processing, communications, sensors and information fusion research communities, it covers the emerging area of data fusion in wireless sensor networks. Resourceaware data fusion algorithms for wireless sensor networks lecture notes in electrical engineering. Publications of professor yonghe liu, research areas. Data fusion, data collection, mobile sink, rendezvous points rps, wireless sensor networks wsns. 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. Data mining and fusion techniques for wsns as a source of the.
This book describes the advanced tools required to design stateoftheart inference algorithms for inference 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. Fanresearch on the wireless sensor network data fusion technology. Energy management in wireless sensor networks 1st edition. Pdf mobile wireless sensor networks mwsns have emerged and shifted. 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. Data fusion in mobile wireless sensor networks muhammad arshad, member, iaeng, mohamad alsalem, farhan a.
Part iii is on data storage and manipulation in sensor networks, and part iv deals with security protocols and mechanisms for wireless sensor networks. Data fusion and collaborative state estimation in wireless sensor networks hiba haj chhade to cite this version. 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. It uses mobile agent communication to decide the filtering or merging on data. Resourceaware data fusion algorithms for wireless sensor. An intelligent data gathering schema with data fusion supported for mobile sink in wireless sensor networks show all authors. Energyefficient and reliable transmission of sensory information is a key problem in wireless sensor networks. Wireless communication and mobile computing, 8 2008, pp. Data fusion improves the coverage of wireless sensor networks.
The design of largescale sensor networks interconnecting various sensor nodes has spurred a great deal of interest due to its wide variety of applications. Citeseerx optimal itinerary analysis for mobile agents in. A machine learning based intrusion detection scheme for data fusion in mobile clouds involving heterogeneous client networks. Wireless and mobile data networks provides a single point of knowledge about wireless data technologies, including. Pdf mobile agent middleware for autonomic data fusion in. 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. Citeseerx document details isaac councill, lee giles, pradeep teregowda. The improved availability of sensor nodes has caused an increase in the number of researchers studying sensor networks. A statistical signal processing perspective book chapter, 2019. Information fusion data fusion in heterogeneous networks.
Basics of wireless sensor networks wsn classification. Data fusion in wireless sensor networks ieee conference. In proceedings of the 4th international conference on networking icn 2005, p. 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. Multiorder fusion data privacypreserving scheme for. Saad, nasrullah armi, nidal kamel abstractduring the last decades. A statistical signal processing perspective, published by the institute of engineering and technology iet, apr.
Mobile agent middleware for autonomic data fusion in wireless sensor networks. 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. However, the security or assurance of the data requires more processing power and is an. Varshney, multiobjective evolutionary algorithms for wireless sensor network design, multiobjective optimization in computational intelligence. This edited book has dealt with data fusion in wireless sensor networks wsns from a statistical signalprocessing perspective. Data fusion in wireless sensor network can realize different protocol layers, based on the introduction of wireless sensor network and data fusion related knowledge. 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. In order to reduce the data processing load on bs and efficiently distinguish the authenticity of archived data, izadi et al. Data fusion and topology control in wireless sensor networks. Design and analysis of a data fusion scheme in mobile. Algorithms and architectures tackles important challenges and presents the latest trends and. Mobile wireless sensor networks mwsns have emerged and shifted the. Wireless sensor networks presents the latest practical solutions to the design issues presented in wirelesssensornetworkbased. 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.
Location tracking in a wireless sensor network by mobile. Yuchee tseng, shengpo kuo, hungwei lee, and chifu huang department of computer science and information engineering national chiaotung university hsinchu, 30050, taiwan email. Multiple mobile agentbased autonomic data fusion large scale sensor networks support multi mobile agentbased autonomic fusion technique. Also, they can change their position frequently in a specific sensing area.
The applications of the mwsns can be widely divided into timedriven, eventdriven, ondemand and. These techniques can be used in centralized and distributed systems to overcome sensor failure, technological limitation, and spatial and temporal coverage problems. Data fusion in wireless sensor networks a statistical. 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. 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 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. 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. 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. 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 techniques reduce total network traffic in a wireless sensor network, since data fusion can integrate multiple raw data sets into one fused data set. A machine learning based intrusion detection scheme for data. 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. Based on the management pattern of cluster structure, in 1, conti et al. Wireless sensor networks wsns are resourceconstrained networks, especially when the energy is highly constrained.
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. Sensor systems covers sensors and multiple sensor systems, including sensor networks and multi sensor data fusion. Authors address many of the key challenges faced in the design, analysis and deployment of wireless sensor networks. We extend a relocation strategy that is based on the disc model 18 to the data fusion model. Intelligent data fusion algorithm based on hybrid delayaware. Aug 22, 20 research in this area is still in its infancy, but it is progressing rapidly. Chapters are written by several of the leading researchers exclusively for this book. In this paper, the data fusion process of mobile heterogeneous wireless sensor networks is mainly studied, and regards the nodes of wireless sensor. From algorithms and architectural design to applications. Design and analysis of a data fusion scheme in mobile wireless. In wireless sensor network, data fusion or data aggregation is the key technology to decrease power consumption and improve accuracy of data collection.
In addition to networking, data management is an important challenge given the high volumes of data that are generated by sensor nodes. Data fusion can effectively reduce the amount of data transmission and network energy consumption in wireless sensor networks wsns. A mobile wireless sensor network mwsn can simply be defined as a wireless sensor network wsn in which the sensor nodes are mobile. 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. Wireless sensor networks for big data systems ncbi. 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. Localization and tracking using camerabased wireless sensor. Decision fusion in cognitive wireless sensor networks.
Wireless positioning and location live course 11 march 2020. In this paper, we have presented a fuzzybased method for data fusion. Mwsns are a smaller, emerging field of research in contrast to their wellestablished predecessor. An intelligent data gathering schema with data fusion. Wireless sensor networks presents the latest practical solutions to the design issues presented in wireless sensor network based systems. As an important element of internet of things, wireless sensor networks wsn are composed of many compact microsensors.
Salvo rossi, data fusion in wireless sensor network. 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. 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. Novel features of the text, distributed throughout, include workable solutions, demonstration systems and case studies of the design and application of wireless. Data fusion with desired reliability in wireless sensor. Mobile agent system provides us with a new way to realize distributed collaborative information processing in sensor networks. 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. Data fusion based on node trust evaluation in wireless sensor.
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