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A localization parameter estimation model for CKN-based wireless sensor networks

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Indexed by:期刊论文

Date of Publication:2012-01-01

Journal:Journal of Computers

Included Journals:EI、Scopus

Volume:22

Issue:4

Page Number:38-46

ISSN No.:19911599

Abstract:Location information of nodes is the basis for many applications in wireless sensor networks (WSNs). However, most previous localization methods make the unrealistic assumption: all nodes in WSN are always awake. This overlooks the common scenario that sensor nodes are duty-cycled to save energy. In this paper we propose a model about localization parameters estimation (LPEM), based on duty-cycled nodes. The model solve: How is the relationship between the parameters (i.e., transmission radius (r), critical neighbor number (k) and the number of nodes (n)) in duty-cycle-based network? And we can use this model to estimate any parameter when the other parameters are known. We conduct a large number of experiments in WSNs simulator Matlab, and find that the parameters are interactional. Moreover, using our model can get the parameters configuration to achieve near-optimal localization accuracy while we run localization algorithm.

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