Intelligent dynamic Connectivity Control Algorithm for cluster-based wireless sensor networks

Abstract

Connectivity and energy efficiency are two important issues in wireless sensor networks. Clustering is a mechanism to organize the sensor nodes into clusters and manage the connectivity and energy consumption of the network. In this paper, we consider cluster-based wireless sensor network and propose a Connectivity Control Algorithm based on Learning Automata called CCALA. This algorithm dynamically adjusts the transmission radius of sensor nodes to maintain the desirable connectivity. The simulation results demonstrate the efficiency of the proposed algorithm in terms of average transmission radius of nodes, percentage of connected nodes, balanced energy consumption in the network and network lifetime.