doiSerbia

Energy-efficient opportunistic localization with indoor wireless sensor networks

Xia Feng (School of Software, Dalian University of Technology, Dalian, China)
Yang Xue (School of Software, Dalian University of Technology, Dalian, China)
Liu Haifeng (School of Software, Dalian University of Technology, Dalian, China)
Da Zhang (School of Software, Dalian University of Technology, Dalian, China)
Zhao Wenhong (College of Mechanical Engineering, Zhejiang University of Technology Hangzhou, China)

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.

Keywords: indoor localization, energy efficiency, wireless sensor network, opportunistic localization