NDLI: Indoor wireless localization via convex feasibility problem

Content Provider	IEEE Xplore Digital Library
Author	Nguyen, T.L.N. Yoan Shin
Copyright Year	2014
Description	Author affiliation: Sch. of Electron. Eng., Soongsil Univ., Seoul, South Korea (Nguyen, T.L.N.; Yoan Shin)
Abstract	Node localization in wireless sensor networks (WSNs) aims to determine unknown target position given anchors' known positions and available relative pairwise measurements among directly-connected neighboring nodes. From this point of view, WSNs can be divided into two groups based on collaboration between targets: cooperative networks in which the measurements between the targets are also used for positioning procedure, and non-cooperative networks in which only measurements between pairs of anchor nodes and target nodes are utilized. Obtaining a good estimation of where targets are located at is critical in sensor network applications such as monitoring, geographic routing, and industrial manufacturing. Since the positions of the targets are unknown and only local distance information is given, we need to find true positions from these local distance measurements. Maximum likelihood estimation is one of the state-of-art method for this problem, which is non-convex and consumes much effort to solve. Moreover, the quality of obtained solution is highly dependent on the chosen search methods and the used initial points. In this paper, we formulate the non-cooperative sensor network localization as a convex feasibility problem where the unknown node belongs to a sufficient intersection set of a family of closed convex sets, then apply a projection method to find the solutions. This approach leads us to the use of different algorithm which is fast, robust and convergent. With an appropriate step-size sequence, estimated sensor locations will converge to the global optimal solution in a finite number of steps, as shown by the numerical results. The proposed approach has good stability, robustness and lower complexity, which is effective for the localization problems with small sensor size constraints.
Starting Page	152
Ending Page	156
File Size	345456
Page Count	5
File Format	PDF
ISBN	9781467380546
DOI	10.1109/IPIN.2014.7275479
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-27
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless communication Wireless sensor network Projection method Wireless sensor networks Convex feasibility problem Indoor navigation Convex optimization Estimation Robustness Localization Projection algorithms Convergence
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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