Localization is crucial to many applications in wireless sensor networks. In this article, we propose a range-free anchorbased localization algorithm for mobile wireless sensor networks that builds upon the Monte Carlo localization algorithm. We concentrate on improving the localization accuracy and
Minimum cost localization problem in wireless sensor networks
โ Scribed by Minsu Huang; Siyuan Chen; Yu Wang
- Publisher
- Elsevier Science
- Year
- 2011
- Tongue
- English
- Weight
- 877 KB
- Volume
- 9
- Category
- Article
- ISSN
- 1570-8705
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โฆ Synopsis
Localization is a fundamental problem in wireless sensor networks. Current localization algorithms mainly focus on checking the localizability of a network and/or how to localize as many nodes as possible given a static set of anchor nodes and distance measurements. In this paper, we study a new optimization problem, minimum cost localization problem, which aims to localize all sensors in a network using the minimum number (or total cost) of anchor nodes given the distance measurements. We show this problem is very challenging and then present a set of greedy algorithms using both trilateration and local sweep operations to address the problem. Extensive simulations have been conducted and demonstrate the efficiency of our algorithms.
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