Abstract
In wireless sensor network, node deployment can be established as a Gaussian or a uniform distribution. Gaussian distribution provides a reduction in energy hole problem and is preferable to realistic applications like intrusion detection. This paper proposed the cluster size optimization for the Gaussian distributed sensor network where the base station (BS) follows a Tunable Elfes sensing model (TESM), and the mode of communication between node is considered to be of single-hop and multi-hop. Further, we derived the analytical expression of finding the optimal number of clusters. After analyzing the simulation result, it is noted that multi-hop communication model consumes less energy. Also, in this paper, the effect of using Tunable Elfes sensing model (TESM) on coverage is quantitatively analyzed. It is observed that the coverage fraction decreases significantly with an increase in the separation between the nodes.
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References
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Kumar, V. et al. (2020). Optimal Cluster Count and Coverage Analysis in a Gaussian Distributed WSNs Using TESM. In: Satapathy, S., Bhateja, V., Nguyen, B., Nguyen, N., Le, DN. (eds) Frontiers in Intelligent Computing: Theory and Applications. Advances in Intelligent Systems and Computing, vol 1014. Springer, Singapore. https://doi.org/10.1007/978-981-13-9920-6_35
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DOI: https://doi.org/10.1007/978-981-13-9920-6_35
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