A signal screening based sequence-correlation localization algorithm for wireless sensor networks

Zhihua Liu, Xingyue Liu, Wei Zhang, Jiaxing Chen, Shujing Zhang () and Rui Wang ()
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Zhihua Liu: Hebei Normal University
Xingyue Liu: Hebei Normal University
Wei Zhang: Hebei Normal University
Jiaxing Chen: Hebei Normal University
Shujing Zhang: Hebei Normal University
Rui Wang: Yantai University

International Journal of System Assurance Engineering and Management, 2020, vol. 11, issue 4, No 13, 842-848

Abstract: Abstract Wireless sensor networks (WSNs) are dependent on sending and receiving signals. This work aims to design a received signal strength based range-free localization technique called signal screening based sequence-correlation localization algorithm (SCLSS) which can provide accurate and cost efficient localization performance for WSNs. Starting with the division of location region into multiple separate grids, SCLSS utilizes the grid-type measure to obtain a unique intersection-sequence table which represents the Euclidean distances from each anchor node to each grid intersection. Secondly, based on the signal screening method, SCLSS screens out the task intersections which will derive new intersections. Then the selected intersections are filtered out from the derived intersection-sequence table according to Pearson correlation. Finally, SCLSS uses the weighted centroid approach to isolate the location where the unknown node most probably resides. Simulation results show that the proposed SCLSS offers more accurate localization with fewer anchor nodes compared with its counterparts.

Keywords: Wireless sensor networks; Signal screening; Sequence-correlation localization; Weighted centroid approach (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s13198-019-00886-7

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