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Sensor Location through Linear Programming with Arrival Angle Constraints

Published

Author(s)

Camillo Gentile, J Shiu

Abstract

In previous work, we established a linear programming framework to determine sensor location from measured link distances between neighboring nodes in a network. Besides providing greater accuracy compared to other techniques, linear programs in particular suit large networks since they can be solved efficiently through distributed computing over the nodes without compromising the optimality of the objective function. This work extends our framework to determine sensor location from measured arrival angles instead. An extensive simulation suite substantiates the performance of the algorithm according to several network parameters, including noise up to 15% the maximum error; the proposed algorithm reduces the error up to 84% depending on the noise level.
Conference Location
, USA
Conference Title
IEEE Conference on Information Sciences and Systems

Keywords

Convex optimization, network localization

Citation

Gentile, C. and Shiu, J. (2007), Sensor Location through Linear Programming with Arrival Angle Constraints, IEEE Conference on Information Sciences and Systems, , USA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=51155 (Accessed June 25, 2024)

Issues

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Created March 13, 2007, Updated October 12, 2021