White Papers

Scalable Localization in Wireless Sensor Networks

Overview Localization, an important challenge in wireless sensor networks, is the process of sensor nodes self-determining their position. The difficulty encountered is in cost-effectively providing acceptable accuracy in localization. The potential for the deployment of high density networks in the near future makes scalability a critical issue in localization. This paper proposes Cluster-Based Localization (CBL), which provides effective localization suitable for large and highly-dense networks. CBL utilizes both a computationally-intensive localization technique (non-metric MultiDimensional Scaling (MDS)) and a less intensive trilateration to achieve balance between performance and cost. Clustering is utilized to select a subset of nodes to perform MDS and then extend their localization to the remaining network.

Further White Paper Details
PublisherWashington State University File FormatPDF
Date PublishedAugust 2007
FormatWhite Papers   
Topics
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