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• W2981989469 abstract "This paper presents a generalized analytical model to estimate the commonly employed network performance metrics, viz., node isolation probability, minimum node degree distribution, and the probability of κ-connectivity in a wireless multi-hop network deployed in a finite regular rectangular region rather than a square region of limited scope. We derive and provide closed form expressions for the effective area covered by a node positioned in various sub regions of the rectangular region. Our derivation considers the boundary effects of the region that has significant impact on the effective coverage area by a node, which is important to accurately estimate the minimum node degree distribution, κ-connectivity and node isolation probability. We validate and compare our proposed analytical model by performing simulation to show that the results obtained through our proposition are more plausible and also conform to the specific cases of square region considered by other researchers. Later, we also discuss the tradeoffs between the transmission range of the nodes and the number of nodes that result in a fully κ-connected network with finite number of nodes deployed in a rectangular region of varying dimensions." @default.
• W2981989469 created "2019-11-01" @default.
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• W2981989469 date "2020-01-01" @default.
• W2981989469 modified "2023-10-01" @default.
• W2981989469 title "An analytical model to estimate the performance metrics of a finite multihop network deployed in a rectangular region" @default.
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• W2981989469 doi "https://doi.org/10.1016/j.jnca.2019.102466" @default.
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