Image transmission in mobile wireless multimedia sensor networks using cat swarm optimization

High-quality picture transmission over intelligent devices in Mobile Multimedia Sensor Networks (MWMSN) requires fast transmission rates, throughput, and a low Bit Error Rate (BER). Energy efficiency is always a top priority for battery-powered intelligent devices like smartphones and tablets. The Multiple Input and Multiple Output (MIMO) technology is extensively used in MWMSN with cooperative communication (CC). In order to increase the effectiveness of multimedia sensor networks, diverse network techniques are driven by cooperative communications because these systems are more likely to be built with traditional limited resources and scattered hardware. Since each node in the network is mobile, energy consumption and routing pose significant problems for cooperative mobile multimedia sensor networks. An optimisation model is developed to select the minimum number of multi-hops between the source and destination for the cooperative MWMSN network to address these challenges. This paper adopts a new Modified Cat Swarm Optimisation (MCSO) to solve a multi-objective function involving target throughput, mobility, energy consumption and outage probability. The simulation shows that the proposed approach has achieved better performance against state-of-art approaches regarding aggregate throughput, peak signal-to-noise ratio and structural similarity index.