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Efficient Tracking of Mobile Targets in Wireless Sensor Networks

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Data-Driven Modeling for Sustainable Engineering (ICEASSM 2017)

Abstract

Target tracking using wireless sensors involves detecting and locating a target crossing an area of interest. Unlike conventional monitoring systems that require a fixed infrastructure, wireless sensor networks are as easy to deploy as they are to uninstall. Moreover, thanks to their versatility, they can be used in many environments that are hostile and inaccessible to humans. However, being restricted in energy, they cannot remain active permanently as their lifetime can drastically decrease. To overcome this problem, the idea is to activate only the sensors located on the target path. The question is how and on what criteria should these sensors be activated in order to obtain the best compromise between monitoring precision and energy preservation? Many schemes in WSN have been proposed. In this paper, we first present an efficient architecture for tracking mobile targets. We then propose algorithms for real-time tracking of targets. The numerous experiments carried out show that the proposed solution is robust and quite accurate.

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Correspondence to Blaise Omer Yenke .

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Yenke, B.O., Njiande, V.N., Ndam Njoya, A. (2020). Efficient Tracking of Mobile Targets in Wireless Sensor Networks. In: Adjallah, K., Birregah, B., Abanda, H. (eds) Data-Driven Modeling for Sustainable Engineering. ICEASSM 2017. Lecture Notes in Networks and Systems, vol 72. Springer, Cham. https://doi.org/10.1007/978-3-030-13697-0_26

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