Title
Localization in sparse networks using sweeps
Abstract
Determining node positions is essential for many next-generation network functionalities. Previous localization algorithms lack correctness guarantees or require network density higher than required for unique localizability. In this paper, we describe a class of algorithms for fine-grained localization called Sweeps. Sweeps correctly finitely localizes all nodes in bilateration networks. Sweeps also handles angle measurements and noisy measurements. We demonstrate the practicality of our algorithm through extensive simulations on a large number of networks, upon which it consistently localizes one-thousand-node networks of average degree less than five in less than two minutes on a consumer PC.
Year
DOI
Venue
2006
10.1145/1161089.1161103
MobiCom
Keywords
Field
DocType
angle measurement,next-generation network functionalities,finitely localizes,bilateration network,sparse network,consumer pc,average degree,previous localization algorithm,localizes one-thousand-node network,network density,fine-grained localization,next generation network,computer simulation,algorithms,localization
Computer science,Correctness,Network density,Distributed computing
Conference
ISBN
Citations 
PageRank 
1-59593-286-0
108
4.59
References 
Authors
0
7
Search Limit
100108
Name
Order
Citations
PageRank
David K. Goldenberg137918.81
Pascal Bihler214210.08
Ming Cao32343249.61
Jia Fang41347.49
Brian D. O. Anderson53727471.00
A. Stephen Morse64285588.67
Richard Yang73502203.15