Enhancing Lifetime Coverage in Wireless Sensor Networks: A Learning Automata Approach

This paper focuses on enhancing the lifespan of the Wireless Sensor Network (WSN) by integrating a distributed Learning Automaton into its operation. The proposed framework seeks to determine an optimized activity schedule that extends the network’s lifespan while ensuring that the monitoring of designated target areas meets predefined coverage requirements. The proposed algorithm harnesses the advantages of localized algorithms, including leveraging limited knowledge of neighboring nodes, fostering self-organization, and effectively prolonging the network’s longevity while maintaining the required coverage ratio in the target field.