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Sensors 2017, 17(8), 1904; https://doi.org/10.3390/s17081904

Dynamic Fuzzy-Logic Based Path Planning for Mobility-Assisted Localization in Wireless Sensor Networks

1
Department of Engineering Mathematics and Internetworking, Dalhousie University, Halifax, NS B3H 4R2, Canada
2
Faculty of Computer Science and Information Technology, Albaha University, Albaha 65527, Saudi Arabia
3
Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne NE1 8ST, UK
4
Engineering Department, Faculty of Science, St. Francis Xavier University, Antigonis, NS B2G 2W5, Canada
*
Author to whom correspondence should be addressed.
Received: 15 July 2017 / Revised: 15 August 2017 / Accepted: 15 August 2017 / Published: 18 August 2017
(This article belongs to the Section Sensor Networks)
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Abstract

Mobile anchor path planning techniques have provided as an alternative option for node localization in wireless sensor networks (WSNs). In such context, path planning is a movement pattern where a mobile anchor node’s movement is designed in order to achieve a maximum localization ratio possible with a minimum error rate. Typically, the mobility path planning is designed in advance, which is applicable when the mobile anchor has sufficient sources of energy and time. However, when the mobility movement is restricted or limited, a dynamic path planning design is needed. This paper proposes a novel distributed range-free movement mechanism for mobility-assisted localization in WSNs when the mobile anchor’s movement is limited. The designed movement is formed in real-time pattern using a fuzzy-logic approach based on the information received from the network and the nodes’ deployment. Our proposed model, Fuzzy-Logic based Path Planning for mobile anchor-assisted Localization in WSNs (FLPPL), offers superior results in several metrics including both localization accuracy and localization ratio in comparison to other similar works. View Full-Text
Keywords: wireless sensor networks; path planning; mobility models; localization models; fuzzy-logic; optimization; Fuzzy-Logic based Path Planning for mobile anchor-assisted Localization wireless sensor networks; path planning; mobility models; localization models; fuzzy-logic; optimization; Fuzzy-Logic based Path Planning for mobile anchor-assisted Localization
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Alomari, A.; Phillips, W.; Aslam, N.; Comeau, F. Dynamic Fuzzy-Logic Based Path Planning for Mobility-Assisted Localization in Wireless Sensor Networks. Sensors 2017, 17, 1904.

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