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Exploiting Mobility for Efficient Coverage in Sparse Wireless Sensor Networks

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Abstract

Reliable monitoring of a large area with a Wireless Sensor Network (WSN) typically requires a very large number of stationary nodes, implying a prohibitive cost and excessive (radio) interference. Our objective is to develop an efficient system that will employ a smaller number of stationary nodes that will collaborate with a small set of mobile nodes in order to improve the area coverage. The main strength of this collaborative architecture stems from the ability of the mobile sensors to sample areas not covered (monitored) by stationary sensors. An important element of the proposed system is the ability of each mobile node to autonomously decide its path based on local information (i.e. a combination of self collected measurements and information gathered by stationary sensors in the mobile’s communication range), which is essential in the context of large, distributed WSNs. The contribution of the paper is the development of a simple distributed algorithm that allows mobile nodes to autonomously navigate through the field and improve the area coverage. We present simulation results based on a real sparse stationary WSN deployment for the coverage improvement scenario.

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Authors and Affiliations

  1. KIOS Research Center for Intelligent Systems and Networks, Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus

    Theofanis P. Lambrou

  2. Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus

    Christos G. Panayiotou

  3. Group of Information and Communication Systems, University of Valencia, Valencia, Spain

    Santiago Felici & Baltasar Beferull

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  1. Theofanis P. Lambrou
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  2. Christos G. Panayiotou
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  3. Santiago Felici
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  4. Baltasar Beferull
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Correspondence to Theofanis P. Lambrou.

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Lambrou, T.P., Panayiotou, C.G., Felici, S. et al. Exploiting Mobility for Efficient Coverage in Sparse Wireless Sensor Networks. Wireless Pers Commun 54, 187–201 (2010). https://doi.org/10.1007/s11277-009-9717-0

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  • DOI: https://doi.org/10.1007/s11277-009-9717-0

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