Abstract:
To maximize the network lifetime is a major issue for designing and deploying a wireless sensor network (WSN). Clustering is a fundamental and effective technique for utilizing sensor nodes’ energy and extending the network lifetime for wireless sensor networks. In this paper, we present a new method to elongate the network lifetime based on the Adaptive Particle Swarm Optimization (APSO) algorithm, which is an optimized method designed to select the target nodes. Takes into account both energy efficiency and transmission distance, and relay nodes to alleviate the excessive energy consumption of the cluster heads. The proposed protocol results in better distributed sensor and optimized clustering system enhancing the network’s lifetime. We compare the proposed protocol with comparative protocols by varying a number of parameters, e.g., the number of nodes, the network area size, and the position of the base station. Simulation results show that the proposed protocol performs better against other comparative protocols in different simulations.
This thesis is concerned with the cluster head selection algorithm aiming different goals like maximize the network lifetime, minimizing total interference etc. This Adaptive particle swarm optimization based (APSO) algorithm will eliminate the uncertainty of the cluster head selection problem to attain the goals satisfying certain robust wireless sensor network.
