NDLI: A Distributed Node Localization Algorithm for Wireless Sensor Network Based on MDS and SDP

Content Provider	IEEE Xplore Digital Library
Author	Yingqiang Ding Hua Tian Gangtao Han
Copyright Year	2012
Abstract	Wireless sensor networks (WSN) have been applied to different scenarios. The distribution of the sensor nodes in these scenes are not always uniformly. A new localization algorithm based on multidimensional scaling (MDS) and semi definite programming (SDP) is present in this paper. It is referred to as: Distributed Localization based on MDS and SDP (DLMS). The main idea of the algorithm is to construct several local positioning regions (LPRs) with reasonable distribution by an adaptive search algorithm, and merge the local maps together to form a global map. Simulation results show that DLMS has nice performance in sensor positioning accuracy, which can satisfy the demand of WSN-based applications.
Starting Page	624
Ending Page	628
File Size	211871
Page Count	5
File Format	PDF
ISBN	9781467306898
e-ISBN	9780769546476
DOI	10.1109/ICCSEE.2012.93
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Programming Educational institutions Ad hoc networks Noise measurement Multidimensional scaling (MDS) Semidefinite programming (SDP) Wireless sensor networks Simulation Relative map Euclidean distance Localization Wireless sensor network (WSN) Local positioning regions (LPR)
Content Type	Text
Resource Type	Article

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