NDLI: A new one hop localization algorithm based on clustering for WSNs

Content Provider	IEEE Xplore Digital Library
Author	Mohammadi, S. Khazaei, K.
Copyright Year	2011
Description	Author affiliation: Agricultural bank, Qazvin, Iran (Mohammadi, S.) \|\| Department of Computer Science, Dehkhoda higher education institute, qazvin, Iran (Khazaei, K.)
Abstract	The determination of sensor node's position is one of the important issues in sensor networks. Several methods have been presented in order to determine the position of nodes in these networks. Among them, the "Data Fusion" method, due to the combinational utilization of TDOA and RSS has been able to calculate the distance between nodes more accurately. In the method presented in this paper, by using a series of rules, clustering and Prioritizing in choosing reference nodes the precision of localization of "Data Fusion" Method has been increased, particularly in those locations where the density of reference nodes is little in the network or those places in which the network has holes. Meanwhile, we were able to avoid Error dissemination in network, by applying clustering. The simulation results show that, in a similar environment, the suggested method is more accurate comparing to the existing localization methods. It also has appropriate reliability as well.
Starting Page	278
Ending Page	283
File Size	506449
Page Count	6
File Format	PDF
ISBN	9781612849317
e-ISBN	9781612849317
DOI	10.1109/ICOS.2011.6079293
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-25
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Unknown Nodes Wireless sensor networks Accuracy Conferences Sensor Network Clustering algorithms Estimation Open systems Cluster and Localization Ad hoc networks Reference Nodes
Content Type	Text
Resource Type	Article

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