A Data Aggregation Algorithm Based on Gird and Mobile Agent in WSN
Shi Hao-shan · Chuangan jishu xuebao · 2008
Energy efficiency is an important concern in the routing algorithm design for Wireless Sensor Networks(WSN).Data aggregation can efficiently decrease energy consumption by aggregating the redundant information.This paper presents a data aggregation algorithm that integrates grid generation and mobile agent(MA) in WSN,which is based on MA retransmitting interest agent packets sent by sink node and data agent packets sent by target nodes.In this algorithm,MA routing can be treated as an optimization problem.WSN is evenly divided into many two-dimensional grids,forming the initial population of adaptive genetic algorithm(AGA).AGA is applied to find out the optimal nodes' sequence of MA routing.Simulation results show that compared with Local Closest First algorithm(LCF),with the increasing of the network scale,the proposed algorithm can produce less energy consumption and network delay.