DYNAMIC POWER OPTIMIZATION WITH TARGET PREDICTION FOR MEASUREMENT IN WIRELESS
SENSOR NETWORKS

WANG Xue  MA Junjie  WANG Sheng

(State Key Laboratory of Precision Measurement Technology and Instrument, Tsinghua University, Beijing 100084)

Abstract: Energy constraint is a critical problem for practical applications in wireless sensor networks. Focused on the energy efficiency problem of wireless sensor networks, a dynamic power optimization method is proposed with target prediction. Particle filter is introduced to predict target state, which is adopted to awaken wireless sensor nodes so that their sleep time is prolonged. With the distributed computing capability of nodes, distributed genetic algorithm and simulated anneal is proposed to optimize the energy consumption of measurement. Considering the application of target tracking, target position prediction, node sleep scheduling and optimal sensing node selection are implemented. Moreover, a routing scheme of for-warding nodes is presented to achieve extra energy conservation. Experimental results of target tracking verified that energy-efficiency is enhanced by dynamic power optimization with target prediction in wireless sensor networks.

Key words: Wireless sensor networks Dynamic power management Energy efficiency Particle filter

CLC No: TP1 TP3

国家重点基础研究发展计划(国家973计划, 2006CB303000)和国家自然科学基金(60673176, 60373014, 50175056)资助项目. Received 20061219, received in revised form 20070509