2015
DOI: 10.5815/ijcnis.2015.12.06
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Enhanced Voting based Secure Localization for Wireless Sensor Networks

Abstract: Abstract-Developmentof location estimation algorithms with improvement in location precision with lower cost, less energy consumption and less hardware support has become more important for many applications in Wireless Sensor Networks (WSNs). This paper addresses the problem of secure location determination, known as secure localization in WSNs using voting based technique which gives a search region in presence of anchor nodes. From the obtained search region trilateration is applied to know the position of … Show more

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Cited by 5 publications
(3 citation statements)
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“…The initial list only contains the location information of the anchor node. In order to obtain the location information of all nodes, this paper proposes a quadrilateral measurement (QM) method in [35], which can acquire nodes of unknown locations, and then improve the unified NLL. To meet the needs of quickly monitoring the state and behavior of the sensor in real time, so as to quickly obtaining their location.…”
Section: ) Wsn Positioning Methods In Smart Contractmentioning
confidence: 99%
“…The initial list only contains the location information of the anchor node. In order to obtain the location information of all nodes, this paper proposes a quadrilateral measurement (QM) method in [35], which can acquire nodes of unknown locations, and then improve the unified NLL. To meet the needs of quickly monitoring the state and behavior of the sensor in real time, so as to quickly obtaining their location.…”
Section: ) Wsn Positioning Methods In Smart Contractmentioning
confidence: 99%
“…Nirmala and Manjunatha [4] presented an enhanced voting based localization scheme. The absolute location of sensor nodes was identified and secured using security scheme and the concept of bilateration and trilateration methods.…”
Section: Related Workmentioning
confidence: 99%
“…Nirmala et.al [7] introduced voting based localization scheme with secure and maximum energy efficiency to identify localization area for node with minimum estimation error. The location of sensor nodes was identified with trilateration method with trusted node identities.…”
Section: Related Workmentioning
confidence: 99%