Wsns often produce imprecise and incorrect sensor data. Security mechanism of transmission encryption of network is introduced to protect the security of data. Wireless sensor networks, algorithms, routing, coverage, fusion. This edited book has dealt with data fusion in wireless sensor networks wsns from a statistical signalprocessing perspective. Data fusion privacy preserving algorithm based on failure. Due to the limitations of some sensor nodes, especially the limited amount of energy, innetwork data processing, such as data fusion, is very important. The three main categorizes of data fusion techniques in wsn includes include.
Need for energy efficient data fusion in wireless 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. In this paper, a fuzzybased solution for data fusion in wsns is presented to. Data fusion in sensors is defined as the process 1. Saad, nasrullah armi, nidal kamel abstractduring the last decades. However the existing data fusion schemes lead to additional delay overhead and power consumptions. Data fusion, target detection, coverage, performance limits, wireless sensor network 1. A new data fusion algorithm for wireless sensor networks. Research on the wireless sensor network data fusion. 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. Mwsns are a smaller, emerging field of research in contrast to their wellestablished predecessor.
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. Belief propagation algorithm, a wellknown data fusion algorithm that is widely used for. Wireless sensor networks are used to monitor wine production, both in the field and the cellar. The applications of the mwsns can be widely divided into timedriven, eventdriven, ondemand and. In proceedings of the 4th international conference on networking icn 2005, p. An algorithm of mobile sensors data fusion tracking for. Remote sensing and control of an irrigation system using a. Mwsns are much more versatile than static sensor networks as they can be deployed in any scenario and cope with rapid topology changes. Recently, the mobile agent ma paradigm has been proposed as a solution to overcome these problems. Data fusion improves the coverage of wireless sensor. Due to the advantage of data fusion in deleting redundant information and extending lifetime of network, data fusion has become one of the important ways of effectively relieving the bottleneck of wireless sensor networks resources, which has been widely used in wireless sensor networks. 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. Rao,senior member, ieee, jacob barhen,member, ieee.
Introduction from an electronics engineers perspective, a sensor is a device that is used to. Wireless sensor networks wsns are resourceconstrained networks, especially when the energy is highly constrained. This paper presents the data fusion survivability analysis model of wireless sensor network wsn based on stochastic petri net spn. The paper provides a more detailed look at some existing data fusion and topology management algorithms. Basics of wireless sensor networks wsn classification. Mobile agent itinerary planning for wsn data fusion. The data fusion survivability analysis technology of. Information fusion for data dissemination in selforganizing wireless sensor networks. In this research study, an energy efficient cluster head selection in mobile wireless sensor networks is proposed, analysed and validated on the basis of residual energy and randomized selection. Also, they can change their position frequently in a specific sensing area.
Reliable data fusion in wireless sensor networks under. However, the security or assurance of the data requires more processing power and is an. The distinguishing aspect of our work is the novel use of fuzzy membership functions and rules in the design of cost functions for the routing objectives considered in this work. Wsn nodes have less power, computation and communication compared to manet nodes. Introduction recent years have witnessed the deployments of wireless sensor networks wsns for many critical applications such as security surveillance 16, environmental monitoring 25, and target detectiontracking 21. Selected publications pdf to be completed, download the bib file journal. Wsns measure environmental conditions like temperature, sound, pollution levels, humidity, wind, and so on. Wireless sensor networks for big data systems ncbi. The wireless sensor network wsn is mainly composed of a large number of sensor nodes that are equipped with limited energy and resources. Multiple mobile agentbased autonomic data fusion large scale sensor networks support multi mobile agentbased autonomic fusion technique. Data fusion and collaborative state estimation in wireless sensor. Multiplesymbol differential decision fusion for mobile.
Manets have high degree of mobility, while sensor networks are mostly stationary. 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 intelligent data gathering schema with data fusion supported for mobile sink in wireless sensor networks. Pdf study of data fusion in wireless sensor network. Synchronization of multiple levels of data fusion in wireless sensor networks wei yuan, srikanth v. Data fusion in wireless sensor networks maen takruri submitted in partial fulfillment of the requirements for the degree of doctor of philosophy faculty of engineering and inforrnation technology university of technology, sydney march 2009. This paper highlights the advantages of data fusion and topology control in wireless sensor networks. Data fusion is a critical step in designing a wireless sensor network as it handles data acquired by sensory devices. Wireless sensor networks presents the latest practical solutions to the design issues presented in wirelesssensornetworkbased systems. All the raw measurements should be collected and persistently stored.
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. Pdf mobile agent middleware for autonomic data fusion in. Pdf during the last decades, wireless sensor networks wsns arises as an emerging and future enable technology due to the latest. A data fusion method in wireless sensor networks article pdf available in sensors 15 2. Developing a fusion application is challenging in general, for the fusion operation typically requires timecorrelation and synchronization of. Novel features of the text, distributed throughout, include workable solutions, demonstration systems and case studies of the design and application of wireless. This causes the decline of scarce network resources such as bandwidth and energy, thus decreasing the lifetime of sensor network. Wireless sensor networks wsns in recent years, have shown an. Multisensor data fusion in distributed sensor networks.
Trust management in wireless sensor networks arxiv. Pdf data fusion in wireless sensor networks biljana. Our data fusion algorithm for multiprotocol mobile agents in wireless. Our aim is to provide a better understanding of the current research issues in this field. The improved availability of sensor nodes has caused an increase in the number of researchers studying sensor networks. In threetier architecture, a set of fixed sensor nodes transmit the data towards set of mobile devices and then transmits to one set of access points. Intelligent data fusion algorithm based on hybrid delayaware. An intelligent data gathering schema with data fusion supported for. A hospital healthcare monitoring system using wireless.
In this paper, we have presented a fuzzybased method for data fusion. A fuzzy data fusion solution to enhance the qos and the energy. Data fusion improves the coverage of wireless sensor networks. Energyefficient data fusion technique and applications in. Tripathi department of computer science and engineering, university of california, riverside, riverside, ca, 92521 abstractin wireless sensor networks, innetwork data fusion. Data fusion and topology control in wireless sensor networks. A hospital healthcare monitoring system using wireless sensor. Due to the limitations of sensor nodes capabilities, especially the strictly limited energy, innetwork data processing, such as data fusion which can significantly improve the. An approach for nearoptimal distributed data fusion in.
Following the latest developments in computer and communication technologies, everyday objects are becoming smarter, as ubiquitous connectivity and modern sensors allow them to communicate with each other. Data fusion can effectively reduce the amount of data transmission and network energy consumption in wireless sensor networks wsns. 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. Data fusion utilization for optimizing largescale wireless. An approach to implement data fusion techniques in. Bayesian fusion approach was introduced in 119, to combine continuous data trust. In general, the base station is mobile because it has a large area to manage and requires a separate protocol to regulate its motion. Design and analysis of a data fusion scheme in mobile wireless. Systematic analysis reveals that proper deployment of sensor nodes and a small number of lowcost relays without sensing function can speed up the information fusion and thus improve the estimation capability of wireless sensor networks wsns. On the other hand, serial data fusion imposes the utilization of routing algorithms.
Data fusion, which fuses the collected data before they are sent to the base station, is usually. Research on the wireless sensor network data fusion technology. Department of computer, science and research branch, islamic azad university, kerman, iran. Pdf the success of a wireless sensor network wsn deployment strongly depends on.
Data fusion in wireless sensor networks using fuzzy systems. Wireless sensor networks wsns consist of a large number of source limited wireless sensor nodes for the purpose of data collection, processing, and transmission. Abstract wireless sensor networks consist of a large number sensor nodes that are deployed in some geographical area. The design of largescale sensor networks interconnecting various sensor nodes has spurred a great deal of interest due to its wide variety of applications. While innetwork data fusion can reduce data redundancy and hence curtail network load, the fusion process itself may introduce signi. A hospital healthcare monitoring system using wireless sensor networks.
Wireless sensor networks wsns consist of large number of constrained wireless sensor nodes for the purpose of data gathering. Should the scientist later decide to analyze the data in a di. In order to reduce the data processing load on bs and efficiently distinguish the authenticity of archived data, izadi et al. Reliable data fusion in wireless sensor networks under byzantine attacks mai abdelhakim leonard e. Among many feasible data sources, wireless sensor networks. In wireless sensor networks wsns, a lot of sensory traffic with redundancy is produced due to massive node density and their diverse placement. In wireless sensor networks, using the data fusion at different. Remote sensing and control of an irrigation system using a distributed wireless sensor network yunseop james kim, member, ieee, robert g. 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. Data fusion in mobile wireless sensor networks muhammad arshad, member, iaeng, mohamad alsalem, farhan a. In that case, data fusion in mobile wireless sensor networks mwsns will.
The name of the game the terminology related to systems, architectures, applications, methods, and theories about the fusion of data from multiple sources is not uni. Mobile agent middleware for autonomic data fusion in wireless sensor networks. 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. First, the definition of data fusion survivability is put forward, and the data fusion model of wsn is constructed. 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. The purpose of the network is to sense the environment and report what happens in the area it is deployed in. Han abstract wireless sensor networks place sensors into an area to collect data and send them back to a base station. 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. Pdf energy consumption in wireless sensor networks using. A study on data fusion of wireless sensor networks security. Localisation of a mobile object in a wireless sensor network. Data fusion based on node trust evaluation in wireless. Second, the spn modeling method of security events, which influences the wsn, is described.
In 15, a variable weightbased fuzzy data fusion algorithm is proposed. We focus on sensor deployment and coverage, routing and sensor fusion. As the communication consumes a significant part of the energy in wireless networks, ordinary parallel data fusion approaches may expend more energy than serial data fusion techniques, due to the fact that all sensed data is sent to a central node. This paper focuses on the challenges involved in supporting fusion applications in wireless ad hoc sensor networks wasn. Data fusion utilization for optimizing largescale wireless sensor networks mohammadreza soltani, michael hempel, hamid sharif advanced telecommunications engineering laboratory, dept. In addition, the gating technique is also applied to solve the problem of msdft mobilesensor data fusion tracking for targets, i. This paper gives a survey on classical data fusion in wireless sensor networks from the following aspects. These are similar to wireless ad hoc networks in the sense that.
Jan 28, 2015 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. Publications of professor yonghe liu, research areas. Another approach to utilize a mobile data collector is presented in 26. Routing correlated data with fusion cost in wireless sensor networks, ieee transactions on mobile. In this section, we describe innetwork processing in wsn. Data fusion in wireless sensor networks yun liu, qingan. Data fusion in wireless sensor networks ieee conference. A mobile wireless sensor network mwsn can simply be defined as a wireless sensor network wsn in which the sensor nodes are mobile. As an important element of internet of things, wireless sensor networks wsn are composed of many compact microsensors. The data fusion survivability analysis technology of wireless. Synchronization of multiple levels of data fusion in.
Wireless sensor networks distributed consensus estimation. Trust, reputation, sensor, network, data, communication, mobile. In this method, multiple mobile agents work in parallel to perform fusion. Wireless sensor networks wsns are formed of various nodes that gather. Sep 24, 2009 in wireless sensor networks wsns, a lot of sensory traffic with redundancy is produced due to massive node density and their diverse placement. Wireless sensor networks may be considered a subset of mobile adhoc networks manet. Information fusion for wireless sensor networks article 9 3 thissectiondiscussescommontermsandfactorsthatmotivateandencouragethepractical use of information fusion in wsns. Wireless sensor networks presents the latest practical solutions to the design issues presented in wireless sensor networkbased systems.
1514 1449 1484 447 1045 654 37 695 1394 771 635 158 934 25 1133 896 939 127 289 135 629 519 435 1177 1111 1158 622 1278 686 332 986 918 45 487 898 378 1339 629 32 679 696 993 37