Hybrid model-based image transmission for maximizing network lifetime in wireless multimedia sensor networks

Abstract

This paper intends to increase the network lifetime of Wireless Multimedia Sensor Network (WMSN) by reducing the energy consumption for multimedia data transmission. To accomplish this, the optimal transmission radius of the transmitting sensor nodes and appropriate selection of optimal Cluster Head (CH) at every round are integrated with the energy consumption model to act as the cost model. Subsequently, we develop a new hybrid optimization model, termed as NC-GSO, that hybridizes the Glowworm Swarm Optimization (GSO) and Dragonfly (DA) Optimization. The proposed algorithm is used to minimize the cost function so that the optimal transmission radius and the CHs are determined. The performance of the proposed methodology is investigated in a simulated WMSN environment in which the enhanced network lifetime and the residual energy of the sensors are compared against the state-of-the-art algorithms. To ensure a fair comparison, statistical analysis is also conducted. The obtained results demonstrate the performance of the proposed algorithm in enhancing the lifetime of WMSN.