Energy Concerned Clustering Mechanism to Ensure Reliable Data Transmission in Wireless Sensor Network

Abstract

In wireless sensor networks, data reception capability along with higher QoS can be achieved by adapting clustering mechanisms in the network. Hierarchical networks increase data aggregation efficiently. The hierarchical network includes optimal cluster creation and cluster head (CH) selection that yield higher QoS in the network. Hybrid particle swarm optimization with firefly algorithm (HPSOFA) is proposed for CH selection to obtain optimal clustering in the network. Transmission overhead is reduced by 9% when compared with the existing method by applying a modified dynamic source routing (DSR) algorithm. The proposed algorithm addresses the adaptive congestion window size adjustment method to avoid congestion occurrences in the network. Thus, the proposed HPSOFA method improves QoS and establishes reliable communication in the network