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Lfssr: localised frequency scanning short range estimation for wireless sensor networks.

Author(s)
K. Mohamad Yusof School of Computer Science and Electronic Engineering, University of Essex, Essex, CO4 3SQ United Kingdom
John Woods School of Computer Science and Electronic Engineering, University of Essex, Essex, CO4 3SQ United Kingdom
Steve Fitz School of Computer Science and Electronic Engineering, University of Essex, Essex, CO4 3SQ United Kingdom
Abstract
Range estimation for localisation in wireless sensor networks is an ill posed problem due to multipath. The Cognitive Radio (CR) technologies have made possible the novel ranging technique outlined in this paper: Wireless sensor networks (WSN) aided CR as an integrated system. By using frequency scanning, range estimation is achieved in short range WSN. The technique examines the periodicities in the frequency scan and concludes that when performed, the periodicity of the received signal strength is proportional to the distance. By comparing the periodic value to a linear periodic function, the distance between sensor node and anchor node can be accurately estimated. The results demonstrated here show the technique is capable of giving accurate localised range estimation.
Publication Details
Page(s) 207-215
DOI DOI not available
Published Journal: International Journal of Communication Networks and Information Security, Volume: 3, Issue: 2, Year: 2010

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