期刊论文详细信息
Computer Science and Information Systems
Energy-Efficient Opportunistic Localization with Indoor Wireless Sensor Networks
Xue Yang1  Feng Xia2 
[1] 2 College of Mechanical Engineering, Zhejiang University of Technology;School of Software, Dalian University of Technology
关键词: Indoor Localization;    Energy Efficiency;    Wireless Sensor Network;    Opportunistic Localization;   
DOI  :  10.2298/CSIS110406063X
学科分类:社会科学、人文和艺术(综合)
来源: Computer Science and Information Systems
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【 摘 要 】

Localization challenges researchers for its contradictive goals, i.e., how to tackle the problem of minimizing energy consumption as well as maintaining localization precision, which are two essential trade-offs in wireless sensor network systems. In this paper, we propose an Energy-Efficient Opportunistic Localization (EEOL) scheme to satisfy the requirement of positional accuracy and power consumption. We explore the idea of opportunistic wakeup probability to wake up an appropriate numbers of sensor nodes, while ensuring the high positional accuracy. Sensor nodes can be triggered by the opportunistic wakeup probability sent from the user. Through utilizing this method, the number of active sensors in the sensing range of the user is decreased, and the power consumption is significantly reduced. Theoretical analysis has been presented to evaluate the performance of EEOL. Simulation results show that EEOL confirms our theoretical analysis.

【 授权许可】

CC BY-NC-ND   

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