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- W4285105846 abstract "Internet of Things (IoT) has practically facilitated the option of connecting devices that necessitates cooperation through the Internet. The IoT environment comprises of self-configuring and smart objects that have the possibility of interacting with one another using the infrastructure of a global network. Clustering is the predominant approach that potentially works on the improvement of network lifetime. In this paper, a new clustering scheme using Differential Evolution-Improved Dragonfly Algorithm-based Optimal Radius Determination Strategy (DE-IDAORDS) is proposed for achieving prolonged lifetime in IoT. DE-IDAORDS facilitates the selection of Cluster Head (CH) based on the hybridized merits of DE and IDA for balancing the trade-off between exploration and exploitation to achieve effective clustering that attributes toward excellent energy stability and network lifetime. It adopts fitness function evaluation using parameters like cluster radius, distance and energy during CH selection. The results of the proposed DE-IDAORDS confirm better results in terms of energy, cost function, and number of alive nodes in contrast to the benchmarked schemes taken for investigation. The results also demonstrate that the proposed DE-IDAORDS scheme is capable of adequately enhancing the convergence rate and energy conservation in a minuscule period." @default.
- W4285105846 created "2022-07-14" @default.
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- W4285105846 date "2022-01-01" @default.
- W4285105846 modified "2023-10-18" @default.
- W4285105846 title "Differential Evolution-Improved Dragonfly Algorithm-Based Optimal Radius Determination Technique for Achieving Enhanced Lifetime in IoT" @default.
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- W4285105846 doi "https://doi.org/10.1007/978-981-19-0901-6_53" @default.
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