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Localization in Wireless Sensor Networks using Bilateration Enhanced by Negative Knowledge

by Saroja P. Kanchi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 175 - Number 19
Year of Publication: 2020
Authors: Saroja P. Kanchi
10.5120/ijca2020920720

Saroja P. Kanchi . Localization in Wireless Sensor Networks using Bilateration Enhanced by Negative Knowledge. International Journal of Computer Applications. 175, 19 ( Sep 2020), 47-51. DOI=10.5120/ijca2020920720

@article{ 10.5120/ijca2020920720,
author = { Saroja P. Kanchi },
title = { Localization in Wireless Sensor Networks using Bilateration Enhanced by Negative Knowledge },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2020 },
volume = { 175 },
number = { 19 },
month = { Sep },
year = { 2020 },
issn = { 0975-8887 },
pages = { 47-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume175/number19/31563-2020920720/ },
doi = { 10.5120/ijca2020920720 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:25:31.340682+05:30
%A Saroja P. Kanchi
%T Localization in Wireless Sensor Networks using Bilateration Enhanced by Negative Knowledge
%J International Journal of Computer Applications
%@ 0975-8887
%V 175
%N 19
%P 47-51
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wireless sensor networks are widely used in data collection and processing due to versatility of its deployment and low cost for monitoring physical and environmental conditions such as pressure, temperature, etc. [1]. Typically, Wireless sensor networks (WSNs) contain thousands of nodes. Localization of WSN is the problem of determining the geo-locations of sensor nodes in the network under given constraints and information. Range-based localization algorithms [5] deal with finding the geo-locations given the distances between neighboring sensors that are within the radio range of the node. However, distance information is available only between two nodes within the radio range. In general, having distance information to localized nodes helps localize an unlocalized node. In this paper, a novel enhancement is proposed where a missing distance information between nodes is used to localize a node. It is demonstrated that using this negative knowledge leads to better performance in localizing both sparse and dense network graphs.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Wireless Sensor Networks localization range based trilateration bilateration

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