Energy minimization for heterogeneous wireless sensor networks

作     者：Qiu, Meikang Xue, Chun Shao, Zili Liu, Meilin Sha, Edwin H.-M. 

作者机构：Department of Electrical and Computer Engineering University of New Orleans 2000 Lakeshore Dr. New Orleans LA 70148 USA Department of Computer Science City University of Hong Kong Hong Kong Department of Computing Hong Kong Polytechnic University Hung Hom Kowloon Hongkong Department of Computer Science & Engineering Wright State University 3640 Colonel Glenn Highway Dayton OH 45435 USA Department of Computer Science University of Texas at Dallas Richardson TX 75083-0688 USA 

出 版 物：《Journal of Embedded Computing》 

年 卷 期：2009年第3卷第2期

页      面：109-117页

主　　题：Probability assignment sensor real-time heterogeneous 

摘      要：Lifetime is very important to wireless sensor networks since most sensors are equipped with non-rechargeable batteries. Therefore, energy and delay are critical issues for the research of sensor networks that have limited lifetime. Due to the uncertainties in execution time of some tasks, this paper models each varied execution time as a probabilistic random variable with the consideration of applications performance requirements to solve the MAP (Mode Assignment with Probability) problem. Using probabilistic design, we propose an optimal algorithm to minimize the total energy consumption while satisfying the timing constraint with a guaranteed confidence probability. The experimental results show that our approach achieves significant energy saving than previous work. For example, our algorithm achieves an average improvement of 32.6% on total energy consumption.