In proceedings of the international conference on wireless communications, networking and mobile computing wcnm05. 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. Directional controlled fusion in wireless sensor networks. Extending the network lifetime of wireless sensor networks.
On the other hand, serial data fusion imposes the utilization of routing algorithms. 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. 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. Wireles sensor network diagram download read online. Activity recognition system based on multisensor data fusion. 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. Scribd is the worlds largest social reading and publishing site. A fuzzy data fusion solution to enhance the qos and the energy. Data fusion methods data compression wireless sensor. 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. Pdf the success of a wireless sensor network wsn deployment strongly depends on the quality of service qos it provides regarding. In addition, the gating technique is also applied to solve the problem of msdft mobilesensor data fusion tracking for targets, i.
Quality estimation based data fusion in wireless sensor networks. Because of limited power source, energy consumption has been considered as the most critical factor when designing sensor network protocols. Systemlevel calibration for data fusion in wireless sensor networks rui tan, michigan state university, usa guoliang xing, michigan state university, usa zhaohui yuan, huadong jiao tong university, p. Pdf data fusion in wireless sensor networks biljana. Multisensors data fusion system for wireless sensors.
Scalable structurefree data fusion on wireless sensor. Data fusion methods data compression wireless sensor network. 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. 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.
Energy efficient data fusion in wireless sensor networks are necessary because, the sensor nodes are battery operated, and it is important to keep track of the energy issues 12. Energyefficient and reliable transmission of sensory information is a key problem in wireless sensor networks. Wireless sensor networks are used to monitor wine production, both in the field and the cellar. 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. Energy holes problem is one of key issues for wireless sensor networks wsn. This paper highlights the advantages of data fusion and topology control in wireless sensor networks. The purpose of the network is to sense the environment and report what happens in the area it is deployed in. Research article secure data fusion in wireless multimedia. Pdf a data fusion method in wireless sensor networks. Sensor fusion is also known as multi sensor data fusion and is a subset of information fusion. Frery federal university of alagoas ufal wireless sensor networks produce a large amount of data that needs to be processed, delivered, and assessed according to the application objectives.
Zhai et al 4 proposed an algorithm space wireless sensor networks for planetary exploration swipe, where two types of data are processed separately in the data fusion module. The captured image at the source could be noisy, incomplete and redundant. A smart sensor contains its own datasheet parameters in memory and has a standard interface for wired or wireless connections, such as zigbee or wifi. Developing a fusion application is challenging in general, for the fusion operation typically requires timecorrelation and synchronization of. Extending lifetime of wireless sensor networks using multisensor data fusion soumitra das1, s barani2, sanjeev wagh3 and s s sonavane4 1department of computer science and engineering, sathyabama university, chennai 600119, india 2department of electronics and control engineering, sathyabama university, chennai 600119, india 3department of computer engineering, k. In wireless sensor networks, using the data fusion at different. Abstract wireless sensor networks consist of a large number sensor nodes that are deployed in some geographical area. Energyefficient data fusion technique and applications in. 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. Data fusion privacy preserving algorithm based on failure. At present, the resolved strategies mainly focus on nonuniform node distribution and adjusting transmission power. Systemlevel calibration for data fusion in wireless sensor.
Direct fusion is the fusion of sensor data from a set of heterogeneous or homogeneous sensors, soft sensors, and history values of sensor data, while indirect fusion uses information sources like a priori knowledge about the environment and human input. Pdf study of data fusion in wireless sensor network. With the number of nodes increasing, the total number of nodes grows exponentially, and there is a need to improve physical conditions. A data fusion method in wireless sensor networks ncbi. Systemlevel calibration for data fusion in wireless. In this paper a multisensor data fusion approach for wireless sensor network based on bayesian methods and ant colony optimization. In the multisensor data fusion, data needs to be combined in such a manner that the realtime requirement of the sensor application is met. However, some costs are incurred by nonuniform node distribution. 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. We propose a system for wsn applications that allows to assess the quality of sensor data and further allows to fuse data based on their estimated quality. Alexandre ciancio, sundeep pattem, antonio ortega, bhaskar krishnamachari, energyefficient data representation and routing for wireless sensor networks based on a distributed wavelet compression algorithm, proceedings of the 5th international conference on information processing in sensor networks, april 1921, 2006, nashville, tennessee. Wireless sensor networks have emerged as a new informationgathering paradigm based on the collaborative effort of a large number of sensing nodes. Data fusion approach for error correction in wireless sensor. Activity recognition system based on multisensor data.
The wireless sensor network wsn is mainly composed of a large number of sensor nodes that are equipped with limited energy and resources. This dataset contains temporal data from a wireless sensor network worn by an actor performing the activities. The role of data fusion has been expanding in recent years through the incorporation of pervasive applications, where the physical infrastructure is coupled with information and communication technologies, such as wireless sensor networks for the internet of things iot, ehealth and industry 4. 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. Security mechanism of transmission encryption of network is introduced to protect the security of data. Introduction a wireless sensor network is a network which comprises. A new data fusion algorithm for wireless sensor networks inspired. Data fusion improves the coverage of wireless sensor. Information fusion for data dissemination in selforganizing wireless sensor networks. Data fusion in sensors is defined as the process 1. Extending lifetime of wireless sensor networks using multisensor. Wireless sensor networks wsns are formed of various nodes that gather parameters in a monitored environment. Wsn nodes have less power, computation and communication compared to manet nodes.
Research on the wireless sensor network data fusion. Data fusion based on node trust evaluation 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 tree. Multi sensor data fusion in wireless sensor network using pdf.
China wireless sensor networks are typically composed of lowcost sensors that are deeply integrated. Loureiro federal university of minas gerais ufmg and alejandro c. Data fusion and topology control in wireless sensor networks. This paper discusses about wireless sensor network, its architecture, data aggregation or fusion related algorithms. Data fusion techniques for auto calibration in wireless sensor networks maen takruri 1, subhash challa 2, ramah yunis 1 centre for realtime information networks crin university of technology, sydney, australia 2 nicta victoria research laboratory, australia email. Wireless sensor networks wsns are resourceconstrained networks, especially when the energy is highly constrained. This book introduces resourceaware data fusion algorithms to gather and combine data from multiple sources e. Activity recognition system based on multisensor data fusion arem data set download. Data fusion techniques for auto calibration in wireless.
Wireless sensor networks a survey on monitoring water. Abstractthe application prospect in the market with huge thing networking are buzzing the third wave of information technology, its one of the core technology on two wireless sensor networks with energy, storage capacity, computing power, communications bandwidth resource constraints of the salient characteristics of data fusion, implementation is the inevitable choice. China xue liu, mcgill university, canada jianguo yao, shanghai jiao tong university, p. Research on the wireless sensor network data fusion technology. We are a community of more than 103,000 authors and editors from 3,291 institutions spanning 160 countries, including nobel prize winners and some of the worlds mostcited researchers. Extending lifetime of wireless sensor networks using multi. A strategy for avoiding energy holes based on data fusion. Synchronization of multiple levels of data fusion in wireless sensor networks wei yuan, srikanth v. For the sake of avoiding the data abundance and balancing the energy consumption in wireless sensor networks, a data fusion clustering hierarchy based on data fusion chdf is proposed. An algorithm of mobile sensors data fusion tracking for. In this paper, we have presented a fuzzybased method for data fusion. We are a community of more than 103,000 authors and editors from 3,291 institutions spanning 160 countries, including nobel prize winners and some of. Nakamura analysis, research and technological innovation center fucapi federal university of minas gerais ufmg antonio a.
The wireless sensor network wsn is mainly composed of a large number of sensor nodes that are equipped with limited energy and. Wireless sensor networks wsns are mostly deployed in a remote working environment, since sensor nodes are small in size, costefficient, lowpower devices, and have limited battery power supply. Data fusion, target detection, coverage, performance limits, wireless sensor network 1. This paper describes the application of bpn technology in the problem domain of sensor data fusion. A new data fusion algorithm for wireless sensor networks. This paper focuses on the challenges involved in supporting fusion applications in wireless ad hoc sensor networks wasn. Data fusion based on node trust evaluation in 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. Wireless sensor networks may be considered a subset of mobile adhoc networks manet. Read resourceaware data fusion algorithms for wireless sensor networks by ahmed abdelgawad available from rakuten kobo. Data fusion in wireless sensor networks yun liu, qingan. Manets have high degree of mobility, while sensor networks are mostly stationary. Timeselective data fusion for innetwork processing in ad hoc. 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.
Moreover, if there is no possibility to fuse data in the head node, it must send a lot of packets towards. Our aim is to provide a better understanding of the current research issues in this field. The loss of battery or energy may lead to failure of the entire network 14. Synchronization of multiple levels of data fusion in wireless. In proceedings of the 4th international conference on networking icn 2005, p. Wireless sensor networks wsns consist of a large number of source limited wireless sensor nodes for the purpose of data collection, processing, and transmission. A peertopeer collaboration framework for multisensor. Tripathi department of computer science and engineering, university of california, riverside, riverside, ca, 92521 abstractin wireless sensor networks, innetwork data fusion. In 15, a variable weightbased fuzzy data fusion algorithm is proposed. Having thus found a solution for practical sensor networking, the next essential enabler to seek was a suitable power source for wireless sensor nodes. 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. Wireless sensor networks wsns consist of large number of constrained wireless sensor nodes for the purpose of data gathering.
Sensor fusion is also known as multisensor data fusion and is a subset of information fusion. While innetwork data fusion can reduce data redundancy andhence curtail network load, the fusion process itself may introduce significant energy consumption for emerging wireless sensor networks with vectorial data. A strategy for avoiding energy holes based on data fusion in wireless sensor network p. A robust location algorithm with biased extended kalman filtering of tdoa data for wireless sensor networks. Scalable structurefree data fusion on wireless sensor networks. Data fusion in wireless sensor networks using fuzzy systems. Data fusion improves the coverage of wireless sensor networks. Data fusion approach for error correction in wireless. Research article secure data fusion in wireless multimedia sensor networks via compressed sensing ruigao, 1,2 yingyouwen, 1,2 andhongzhao 1,2 college of information science and engineering, northeastern university, shenyang, china.
Synchronization of multiple levels of data fusion in. In addition, the desired accuracy in the result of the multisensor fusion has to be obtained by selecting a proper set of data from multiple. Resourceaware data fusion algorithms for wireless sensor. Data fusion methods free download as powerpoint presentation. Pdf data fusion techniques in wireless sensor networks.
The paper provides a more detailed look at some existing data fusion and topology management algorithms. A strategy for avoiding energy holes based on data fusion in. As an important element of internet of things, wireless sensor networks wsn are composed of many compact microsensors. Data fusion with desired reliability in wireless sensor. This article introduces a timeselective strategy for enhancing temporal consistency of input data for multisensor data fusion for innetwork data. Data fusion in wireless sensor networks ieee conference. Therefore, fusiondriven routing protocols for sensor networks cannot optimize over communication cost only.
While innetwork data fusion can reduce data redundancy and hence curtail network load, the fusion process itself may introduce signi. 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. The success of a wireless sensor network wsn deployment strongly depends on the quality of service qos it provides regarding issues. Manet wireless sensor networks may be considered a subset of mobile adhoc networks manet. Keywords wsn, data aggregation, data fusion, sensor network, iot i. 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 journal is intended to present within a single forum all of the developments in the field of multisensor, multisource, multiprocess information fusion and thereby promote the synergism among.
In order to map the raw sensor readings onto physical reality, a model of that reality is required to complement the readings. 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. A study on data fusion of wireless sensor networks security. An approach to implement data fusion techniques in wireless. Introduction to wireless sensor networks types and applications. Image fusion forwireless sensor networks abstractmajor source of energy consumption in wireless sensor networks wsnsis transmission of image from source to sink and image processing at the nodes. In order to reduce the data processing load on bs and efficiently distinguish the authenticity of archived data, izadi et al. 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. An approach to implement data fusion techniques in. Due to the limitations of some sensor nodes, especially the limited amount of energy, in network data processing, such as data fusion, is very important.
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