Wireless Sensor Networks Based on Multi-Criteria Clustering and Optimal Bio-Inspired Algorithm for Energy-Efficient Routing

Wireless sensor networks (WSNs) are used for recording the information from physical surroundings and transmitting gathered records to a principal location via extensively disbursed nodes. The proliferation of devices advances in size, deployment costs, user-friendly interfaces have spawned numerous WSN applications. should use routing protocol send sink over low-cost link. One foremost vital problems is restricted energy sensing element and, therefore, high consumed throughout time. An energy-efficient may increase lifetime by consuming less energy. Taking this into consideration, paper provides multi-criteria clustering optimal bio-inspired algorithmic rule reinforce network lifetime, operational time WSN-based applications make robust clusters. Clustering good methodology aggregation that increases group formation. Multi-criteria select cluster head (CH). After proper selection CH, moth flame salp swarm optimization algorithms combined analyze quality route CH expand steadiness network. proposed method analyzed contrasted with previous techniques, parameters such as consumption, throughput, end-to-end delay, latency, packet delivery rate. Consumption minimized up 18.6% life increased 6% longer compared other protocols.