Title
A Hyperbolic Distance Measurement Model For Range-Free Localization In Anisotropic Networks
Abstract
This paper presents a hyperbolic distance measurement model where the difference between the distances from a normal node to two anchors is defined as the sum of the difference between the distances from another anchor to the anchors and an error. A hyperbolic range-free localization algorithm is then introduced based on the proposed model for anisotropic networks. The proposed algorithm estimates the location of each normal node by selecting hyperbolic distance measurements with maximum errors less than a predefined threshold. Simulation results show the superiority of the proposed algorithm over existing range-free localization algorithms.
Year
Venue
Keywords
2015
2015 INTERNATIONAL CONFERENCE ON ICT CONVERGENCE (ICTC)
reliability,wireless sensor networks,geometry,computational modeling,distribution functions,measurement uncertainty
Field
DocType
Citations 
Topology,Distance measurement,Mathematical optimization,Anisotropy,Computer science,Measurement uncertainty,Distribution function,Wireless sensor network
Conference
0
PageRank 
References 
Authors
0.34
14
6
Name
Order
Citations
PageRank
Sangwoo Lee1424.85
hyowon kim2233.35
cheonsig sin300.68
Chansik Park4536.03
Min Lee5130.93
Sunwoo Kim66611.00