Please use this identifier to cite or link to this item: https://doi.org/10.1109/TWC.2007.051044
Title: Information coverage in randomly deployed wireless sensor networks
Authors: Wang, B. 
Chua, K.C. 
Srinivasan, V. 
Wang, W.
Keywords: Coverage
Information coverage
Parameter estimation
Sensor density
Wireless sensor networks
Issue Date: Aug-2007
Source: Wang, B., Chua, K.C., Srinivasan, V., Wang, W. (2007-08). Information coverage in randomly deployed wireless sensor networks. IEEE Transactions on Wireless Communications 6 (8) : 2994-3004. ScholarBank@NUS Repository. https://doi.org/10.1109/TWC.2007.051044
Abstract: Coverage is an important issue in wireless sensor networks. The most commonly used coverage model in the literature defines a point to be covered if its Euclidian distance to at least one sensor is less than a fixed threshold. This is a conservative definition of coverage which implicitly assumes that each sensor makes a decision independent of other sensors in the field. Sensors can cooperate to make an accurate estimation, even if any single sensor is unable to do so. We have previously proposed a new notion of information coverage [1] and investigated its properties. In this paper, we study sensor density requirements for complete information coverage of a field with random sensor deployment. We provide an upper bound on the probability that an arbitrary point in a randomly deployed sensor field is not information covered and find the relationship between the sensor density and the average field vacancy. Simulation results validate our theoretical analysis and show that significant savings in terms of sensor density for complete coverage can be achieved with information coverage. © 2007 IEEE.
Source Title: IEEE Transactions on Wireless Communications
URI: http://scholarbank.nus.edu.sg/handle/10635/56335
ISSN: 15361276
DOI: 10.1109/TWC.2007.051044
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