An Augmentation of API-MPSO Framework for Optimized Clustering and Resilient Routing in WSN

Wireless sensor networks are characterized by energy-constrained nodes that require efficient strategies for data transmission and resource management. The adaptive PI method integrated with clustering and multipath routing to reduce life consumption and mitigate the life excavation complication in the sink’s coverage area. Enhancing the API-MPSO based clustering algorithm is employed to form optimal cluster and select energy efficient cluster pack of heads within the sink protection area. The SSAD algorithm is utilized to determine near optimal multi group communication paths intermediate the sink and sensor nodes, facilitating the selection of next hop neighbors. Additionally, by distributing the load efficiently and ensuring balanced data transmission to the sink, the round robin selection algorithm prolongs the life of the network. The Proposed method Sorting to API-MPSO (Adaptive PI method with Modified Particle swarm optimization) algorithm executes conspicuous ammunition with coherent spirit preservation. Demonstrate the proposed method’s ability to optimize life utilization, extend network existence lifetime and improve overall system performance.