Energy Efficiency Based Optimal Task Allocation for Cluster-Based Target Tracing
For cluster-based target tracing in wireless sensor networks(WSN), tracking by only one cluster is not effective.Tracking tasks are collaborative, dynamic and distributed tasks and are executed in several gateways. In order to maintain a certain degree of service quality and a reasonable system lifetime, energy needs to be optimized at every stage of system operation. Sensor node clustering is another very important optimization problem. Nodes that are clustered together will easily be able to communicate with each other.Considering energy as an optimization parameter with multi-cluster WSN, the model of target tracking and the mode of energy consumption have been presented. For energy optimization, an optimal genetic algorithm for task allocation among these gateways is studied which balance the energy consumption among concerning gateways.Experiments are designed and simulation results show that energy savings can be obtained with the proposed algorithm.
Target Tracing Wireless Sensor Networks Optimal Task Allocation Genetic Algorithm
Xihuang Zhang Chen Jin
School of Information Engineering, Southern Yangtze University 214122 Wuxi, Jiangsu, P.R.China
国际会议
杭州
英文
1223-1226
2006-10-12（万方平台首次上网日期，不代表论文的发表时间）