Abstract
Target tracking using wireless sensor network (WSN) is an important constituent of application like surveillance. The energy is scarce and a very important resource in WSN and therefore, it forms the focal point of this proposal. The goals of the paper is; (1) Analyze the tracking accuracy for a target moving in WSN with multiple clusters; (2) Understanding type of relation between the energy consumption and tracking accuracy in WSN. In the posed experimental scenario, nodes are uniformly distributed in a cluster and they collaborate to track the target moving with a variable velocity. The distance between target and a nearest sensor node is measured and then sent to cluster head for estimating target location. Accuracies of target locations and tracking is calculated from these distance measurements. In this paper we examine effects of varying noise power on the tracking accuracy, effect of cluster size and node density on the target location accuracy. We also focus on energy consumption with respect to change in noise variance and node sensing range. We establish that increase in cluster size improves target tracking accuracy at the cost of increase in energy consumption. Target detection accuracy is dependent on cluster size, node distribution within cluster and also on accuracy of distance measurements.
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References
Zhou Yan; Zhu Jiaxing: Implementation of particle filter for personal dynamic positioning based on ZigBee network. Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on, vol. 2, pp. 521–524, 9–11 (2010).
Pantazis, N.A.; Vergados, D.D.: A survey on power control issues in wireless sensor networks. Communications Surveys & Tutorials, IEEE, vol. 9, no. 4, pp. 86–107, 2007.
Hao Zhu; Schizas, I.D.; Giannakis, G.B.: Power-Efficient Dimensionality Reduction for Distributed Channel-Aware Kalman Tracking Using WSNs. Signal Processing, IEEE Transactions on, vol. 57, no. 8, pp. 3193–3207 (2009).
Jianyong Lin; Wendong Xiao; Lewis, F.L.; Lihua Xie: Energy-Efficient Distributed Adaptive Multisensor Scheduling for Target Tracking in Wireless Sensor Networks. Instrumentation and Measurement, IEEE Transactions on, vol. 58, no. 6, pp. 1886–1896, (2009).
Onel, T.; Ersoy, C.; Delic, H.: Information Content-Based Sensor Selection and Transmission Power Adjustment for Collaborative Target Tracking. Mobile Computing, IEEE Transactions on, vol. 8, no. 8, pp. 1103–1116, (2009).
Xue Wang; Junjie Ma; Sheng Wang; Daowei Bi: Distributed Energy Optimization for Target Tracking in Wireless Sensor Networks. Mobile Computing, IEEE Transactions on, vol. 9, no. 1, pp. 73–86, (2010).
Shih, E.; Calhoun, B.H.; SeongHwan Cho; Chandrakasan, A.P.: Energy-efficient link layer for wireless microsensor networks. VLSI, 2001. Proceedings. IEEE Computer Society Workshop on, vol., pp. 16–21, (2001).
Xingbo Wang; Minyue Fu; Huanshui Zhang: Target Tracking in Wireless Sensor Networks Based on the Combination of KF and MLE Using Distance Measurements. Mobile Computing, IEEE Transactions on, vol. 11, no. 4, pp. 567–576, (2012).
Demigha, O., Hidouci, W. K. Ahmed, T.: On Energy Efficiency in Collaborative Target Tracking in Wireless Sensor Network: A Review. Communications Surveys & Tutorials, IEEE, vol. 15, no. 3, pp. 1210–1222 (2013).
Zhixin Liu; Yazhou Yuan; Xinping Guan; Xinbin Li: An approach of distributed joint optimization for cluster-based wireless sensor networks. Automatica Sinica, IEEE/CAA Journal of, vol. 2, no. 3, pp. 267–273, (2015).
Izadi, D.; Abawajy, J.; Ghanavati, S.: An Alternative Clustering Scheme in WSN. in Sensors Journal, IEEE, vol. 15, no. 7, pp. 4148–4155, (2015).
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Patel, N., Raval, M.S. (2017). Target Tracking Accuracy in Context of Energy Consumption in Wireless Sensor Network. In: Modi, N., Verma, P., Trivedi, B. (eds) Proceedings of International Conference on Communication and Networks. Advances in Intelligent Systems and Computing, vol 508. Springer, Singapore. https://doi.org/10.1007/978-981-10-2750-5_51
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DOI: https://doi.org/10.1007/978-981-10-2750-5_51
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