Effective sensing radius (ESR) and performance analysis of static and mobile sensor networks
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In wireless sensor networks (WSNs), deterministic sensing model has been widely studied and explored for its coverage analysis. Boolean sensing model falls under the deterministic category, which considers a fixed sensing radius, although it is not a realistic assumption. In the literature other probabilistic sensing models like Elfes sensing model and shadow fading sensing model are also considered. However, the linking between the Boolean sensing model and probabilistic sensing models has not yet been analyzed. Nowadays, mobile sensor networks (MSNs) are becoming a hot research topic for their diverse area of applications. It comes with many mathematical and analytical complexities for coverage performance analysis due to continuous topological changes. In this paper, we derive the expression of effective sensing radius (ESR) for probabilistic sensing models to make the link between these sensing models. We also extend our study to MSNs for studying performance analysis such as network coverage fraction and intruder detection time by utilizing ESR of probabilistic sensing models. Our proposed ESR is suitable for analyzing and planning of WSNs.
KeywordsEffective sensing radius Intruder detection time Mobile sensor networks Network coverage Sensing models
The authors would like to thank the editor and the anonymous reviewers for their valuable comments which helped to improve the quality of the paper.
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Conflicts of interest
On behalf of all authors, the corresponding author states that there is no conflict of interest.
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