Thesis
A stochastic localization strategy for wireless sensor networks
Washington State University
Master of Science (MS), Washington State University
2006
Handle:
https://hdl.handle.net/2376/103472
Abstract
Localization is one of the most active research area in wireless sensor networks (WSN). Localization usually refers to the process of determining the position(s) of one or more node(s) in a large network. The challenge of localization lies in efficiently providing acceptable accuracy while conforming to the many constraints of WSNs. In this thesis we introduce a stochastic strategy for estimating unknown node positions in a wireless sensor network based exclusively on connectivity-induced constraints. Known peer-to-peer communication in the network is modeled as a set of geometric constraints on the node positions. The solution of a feasibility problem for these constraints yields estimates for the unknown positions of the nodes in the network. One of the major characteristics of our iterative method is that the location information we obtain in each iteration is utilized in our one-hop distance estimation for the next iteration, which makes our method more accurate and adaptive.
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Details
- Title
- A stochastic localization strategy for wireless sensor networks
- Creators
- Yuntao Zhu
- Contributors
- Murali Medidi (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; Pullman, Wash. :
- Identifiers
- 99900525077001842
- Language
- English
- Resource Type
- Thesis