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Sensors 2014, 14(12), 24381-24407; doi:10.3390/s141224381

Moving Target Tracking through Distributed Clustering in Directional Sensor Networks

1
Green Networking Research (GNR) Group, Deptartment of Computer Science and Engineering, Facutly of Engineering and Technology, University of Dhaka, Dhaka 1000, Bangladesh
2
College of Computer and Information Sciences, Chair of Pervasive and Mobile Computing, King Saud University, Riyadh 11543, Saudi Arabia
*
Author to whom correspondence should be addressed.
Received: 2 October 2014 / Revised: 30 November 2014 / Accepted: 4 December 2014 / Published: 18 December 2014
(This article belongs to the Section Sensor Networks)
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Abstract

The problem of moving target tracking in directional sensor networks (DSNs) introduces new research challenges, including optimal selection of sensing and communication sectors of the directional sensor nodes, determination of the precise location of the target and an energy-efficient data collection mechanism. Existing solutions allow individual sensor nodes to detect the target’s location through collaboration among neighboring nodes, where most of the sensors are activated and communicate with the sink. Therefore, they incur much overhead, loss of energy and reduced target tracking accuracy. In this paper, we have proposed a clustering algorithm, where distributed cluster heads coordinate their member nodes in optimizing the active sensing and communication directions of the nodes, precisely determining the target location by aggregating reported sensing data from multiple nodes and transferring the resultant location information to the sink. Thus, the proposed target tracking mechanism minimizes the sensing redundancy and maximizes the number of sleeping nodes in the network. We have also investigated the dynamic approach of activating sleeping nodes on-demand so that the moving target tracking accuracy can be enhanced while maximizing the network lifetime. We have carried out our extensive simulations in ns-3, and the results show that the proposed mechanism achieves higher performance compared to the state-of-the-art works. View Full-Text
Keywords: target tracking; area coverage; energy; cluster target tracking; area coverage; energy; cluster
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Enayet, A.; Razzaque, M.A.; Hassan, M.M.; Almogren, A.; Alamri, A. Moving Target Tracking through Distributed Clustering in Directional Sensor Networks. Sensors 2014, 14, 24381-24407.

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