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Cooperative Localization In One-Hop And Multi-Hop Wireless Sensor Networks Using Alternating Minimization Algorithm
Date
2016-05-19
Author
Erdemir, Ece Naz
Tuncer, Temel Engin
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In this work, a new approach is proposed to solve cooperative localization problems in wireless sensor networks for both one-hop and multi-hop cases. To find the unknown positions of randomly distributed sensors with limited power and communication ability, noisy inter-sensor distances and anchor node positions are used. In a plane, when the distances between a sensor and at least three neighbor anchors are known, it is possible to find the sensor position by solving a linear set of equations. However, for networks having few number of anchors, the problem becomes a non-convex optimization problem and it is NP(Nondeterministic-polinomial) hard. In this paper, alternating minimization algorithm is proposed to overcome this difficulty. With this approach, the non-convex localization problem is converted into a convex form and it converges to the optimum solution being solved iteratively. Different problem scenarios are considered and effectiveness of the proposed approach is shown by considering several experiments.
Subject Keywords
Cooperative wireless sensor network localization
,
Alternating minimization
,
Nonconvex optimization
URI
https://hdl.handle.net/11511/53715
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Department of Electrical and Electronics Engineering, Conference / Seminar
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E. N. Erdemir and T. E. Tuncer, “Cooperative Localization In One-Hop And Multi-Hop Wireless Sensor Networks Using Alternating Minimization Algorithm,” 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53715.
