Mobile Agent Cluster-Based Algorithm for Data Processing in Wireless Sensor Networks

Abstract

Minimizing energy consumption and maximizing network life time are concern issues for data processing in wireless sensor networks (WSNs). In this paper, we propose mobile agent cluster-based algorithms to satisfy these concern issues. In the proposed algorithms, we use a distributed multihop clustering algorithm to organize the sensor nodes in a WSN into clusters. Based on this clustering, we use a mobile agent system to enhance energy-efficient data processing by selecting its visiting set of nodes for facilitating agent-based data collection and aggregation by using satisfaction percentage of each node. Simulation results show that the proposed algorithms achieve higher improvements in network lifetime, load balance and energy consumption than the existing algorithms.