Impact of sensor-enhanced mobility prediction on the design of energy-efficient localization

Energy efficiency and positional accuracy are often contradictive goals. We propose to decrease power consumption without sacrificing significant accuracy by developing an energy-aware localization that adapts the sampling rate to target's mobility level. In this paper, an energy-aware adaptive localization system based on signal strength fingerprinting is designed, implemented, and evaluated. Promising to satisfy an application's requirements on positional accuracy, our system tries to adapt its sampling rate to reduce its energy consumption. The contribution of this paper is fourfold. (1) We have developed a model to predict the positional error of a real working positioning engine under different mobility levels of mobile targets, estimation error from the positioning engine, processing and networking delay in the location infrastructure, and sampling rate of location information. (2) In a real test environment, our energy-saving method solves the mobility estimation erro...

• Type: Journal
• Year: 2008
• Where: ADHOC
• Authors: Chuang-Wen You, Polly Huang, Hao-Hua Chu, Yi-Chao Chen, Ji-Rung Chiang, Seng-Yong Lau
• Keywords: ADHOC 2008, Mobility Levels, Mobility Prediction, Positional Accuracy