Paper Info
Title
Effective Sensors Deployment with Localization Accuracy Constraints
Abstract
In wireless localization problems, prior to the implementation of the sensor networks, it is important and valuable to know that, given the localization accuracy constraints, i.e. To ensure the localization error lower than e m at the confidence level of 1-c, then (1) how many location-known sensors (anchors) needed at least and at most? (2) how to select out optimal locations for these anchors from the available locations in order to obtain a good trade off between cost and localization performance? These two questions are investigated in detail in this paper based on received signal strength (RSS) measurements, which help to place anchors effectively and reduce much effort in networks installation. The minimal number of anchors (anchors at least) and the sufficient number of anchors (anchors at most) are derived and validated under the assumption of uniformly and randomly distribution of anchors at first, then the optimal selection problem is formulated as a quadratic programming (QP) problem, which can be solved effectively. Numerical results demonstrated the validity of the proposed methods.
Year
DOI
Venue
2014
10.1109/CSE.2014.110
C3S2E
Keywords
Field
DocType
wirelss localization,effective sensors deployment,quadratic programming,rssi,localization accuracy constraints,received signal strength (rss),optimal locations,sensor networks,optimal anchors deployment,received signal strength,wireless localization problems,qp problem,wireless sensor networks,rss measurements,cramer-rao lower bound (crlb),networks installation,geometry,sensors,accuracy,maximum likelihood estimation
Mathematical optimization,Wireless,Software deployment,Computer science,Maximum likelihood,Signal strength,Quadratic programming,RSS,Wireless sensor network
Conference
Citations 
PageRank 
References 
0
0.34
8
Authors
2
Name
Order
Citations
PageRank
Riming Wang100.68
Jiuchao Feng213317.84