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Algorithm for 3D Localization in Wireless Sensor Networks

Shayon Samanta, Punesh U. Tembhare, Charan R. Pote Published in Network Application

IJAIS Proceedings on 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
Year of Publication: 2013
© 2012 by IJAIS Journal
10.5120/ncipet1355
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  1. Shayon Samanta, Punesh U Tembhare and Charan R Pote. Article: Algorithm for 3D Localization in Wireless Sensor Networks. IJAIS Proceedings on 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013) NCIPET(2):19-21, November 2013. BibTeX

    @article{key:article,
    	author = "Shayon Samanta and Punesh U. Tembhare and Charan R. Pote",
    	title = "Article: Algorithm for 3D Localization in Wireless Sensor Networks",
    	journal = "IJAIS Proceedings on 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)",
    	year = 2013,
    	volume = "NCIPET",
    	number = 2,
    	pages = "19-21",
    	month = "November",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

Localization means finding or estimating the accurate position of nodes. Through localization, node sends the accurate location position with the information to the interested users. Localization algorithm is applied to every sensor nodes with respect to their coordinates. The earlier two dimensional localization algorithm works on flat network topology, it hard for 2D network to work with irregular network topology. The 2D may failed many time for finding position in complex hilly and harsh terrain and large altitude differences, for this we need for three dimension localization of nodes. The algorithm proposed in this paper for 3D localization i. e. Ring-Overlapping based on Comparison of Received Signal Strength Indicator (ROCRSSI) it is already implemented in 2D localization, this paper proposed this algorithm in 3D localization of node in sensor networks. Here we use finger-print approach to implement this algorithm. Finger-print techniques divide into two phase's online and off-line method. It takes the signature of node location in offline phase and store it on database and online phase new measurement is taken for finding the node position with respect to data. ROCRSSI is based on range-free method; its property is to work with the small number of anchor in the network, it is isotropy in nature so it provides equal radiation power to the distance node so that it can be used for long region area.

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Keywords

Anchor nodes, fingerprint techniques, ROCRSSI algorithm, and unknown node.