Minimizing Energy Consumption and Maximizing Network Lifetime in Wireless Sensor Networks

This paper presents an Energy-Efficient Data Gathering Algorithm (EEDGA) using mobile agent models to reduce energy consumption and extend network lifetime in wireless sensor networks. The algorithm first controls active node quantity based on monitoring precision requirements, then determines working nodes by computing minimum dominating sets, and finally employs ant colony optimization to plan optimal migration paths for mobile agents to progressively collect monitoring data. Simulation results demonstrate superior energy efficiency and extended network longevity compared to conventional approaches.