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Adaptive AOA-Aided TOA Self-Positioning for Mobile Wireless Sensor Networks
Department of Electrical Engineering, Graduate Institute of Communication Engineering, National Chung Hsing University, Taichung 402, Taiwan
* Author to whom correspondence should be addressed.
Received: 10 September 2010; in revised form: 26 October 2010 / Accepted: 29 October 2010 / Published: 1 November 2010
Abstract: Location-awareness is crucial and becoming increasingly important to many applications in wireless sensor networks. This paper presents a network-based positioning system and outlines recent work in which we have developed an efficient principled approach to localize a mobile sensor using time of arrival (TOA) and angle of arrival (AOA) information employing multiple seeds in the line-of-sight scenario. By receiving the periodic broadcasts from the seeds, the mobile target sensors can obtain adequate observations and localize themselves automatically. The proposed positioning scheme performs location estimation in three phases: (I) AOA-aided TOA measurement, (II) Geometrical positioning with particle filter, and (III) Adaptive fuzzy control. Based on the distance measurements and the initial position estimate, adaptive fuzzy control scheme is applied to solve the localization adjustment problem. The simulations show that the proposed approach provides adaptive flexibility and robust improvement in position estimation.
Keywords: wireless sensor networks; fuzzy control; particle filter; adaptive positioning
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MDPI and ACS Style
Wen, C.-Y.; Chan, F.-K. Adaptive AOA-Aided TOA Self-Positioning for Mobile Wireless Sensor Networks. Sensors 2010, 10, 9742-9770.
Wen C-Y, Chan F-K. Adaptive AOA-Aided TOA Self-Positioning for Mobile Wireless Sensor Networks. Sensors. 2010; 10(11):9742-9770.
Wen, Chih-Yu; Chan, Fu-Kai. 2010. "Adaptive AOA-Aided TOA Self-Positioning for Mobile Wireless Sensor Networks." Sensors 10, no. 11: 9742-9770.