Energy-efficient device-to-device communication in internet of things using hybrid optimization technique

<span lang="EN-US">Device-to-device (D2D) communication has grown into notoriety as a critical component of the internet things (IoT). One primary limitations IoT devices is restricted battery source. D2D direct contact between participating that improves data rate and delivers quickly by consuming less battery. An energy-efficient method required to enhance lifetime network reducing node energy dissipation. The clustering-based maximally acceptable boom durability network. oscillating spider monkey optimization (OSMO) particle swarm (OPSO) algorithms are used in this study improve selection cluster heads (CHs) routing paths for communication. CHs selected depending on parameters such consumption, distance, end-to-end delay, link quality hop count. A simulation environment designed evaluate test performance OSMO-OPSO algorithm with existing (such GAPSO-H algorithm, adaptive resource-aware split-learning (ARES), bio-inspired cluster-based scheme (Bi-CRS), European society medical oncology (ESMO) algorithm). results proved proposed technique outperformed respect traditional strategies regarding latency, packet delivery, efficiency, lifetime.</span>