Minimizing Energy of Scalable Distributed Least Squares Localization

Olivia, Diana and Ramakrishna, M and Divya, S (2012) Minimizing Energy of Scalable Distributed Least Squares Localization. Communications in Computer and Information Science (Information Processing and Management), 305. pp. 77-83. ISSN 1865-0929

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In recent years, Wireless Sensor Networks (WSN) have become a growing technology that has broad range of applications. One of the major areas of research in Sensor Networks is location estimation. Distributed Least Squares (DLS) algorithm is a good solution for fine grained localization. Here localization process is split into a complex precalculation and a simple postcalculation process. This paper presents a revised version of DLS, i.e. minimized energy Distributed Least Squares (meDLS) algorithm where each blind node collects position of neighbouring beacon nodes and directly sends it to the sink node for precalculation. The precaluated data is sent back to the blind node for postcalculation, where location of blind node is estimated. The proposed algorithm is simulated and compared with sDLS for computational and communicational cost.

Item Type: Article
Uncontrolled Keywords: Wireless Sensor Network, Localization, Scalability
Subjects: Engineering > MIT Manipal > Information and Communication Technology
Depositing User: MIT Library
Date Deposited: 24 Feb 2015 07:30
Last Modified: 24 Feb 2015 07:30

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