NDLI: On accuracy of Region-Based Localization algorithms for Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Shigeng Zhang Jiannong Cao Lijun Chen DaoXu Chen
Copyright Year	2009
Description	Author affiliation: State Key Laboratory for Novel Software Technology, Nanjing University, China (Shigeng Zhang; Lijun Chen; DaoXu Chen) \|\| Internet and Mobile Computing Lab, Hong Kong Polytechnic University, Hong Kong (Jiannong Cao)
Abstract	Localization is an essential problem in Wireless Sensor Networks (WSNs). Many localization algorithms have been proposed, but few efforts have been paid on theoretical analysis on the accuracy of these algorithms. Because it is naturally to formalize range-based localization problems as deterministic parameter estimation problems, for range-based localization algorithms Cramér-Rao Lower Bound (CRLB) has been used to lower bound the variance on the estimation of sensor's positions. However, few similar works have been done for range-free localization algorithms. In this paper, based on geometry properties, we theoretically analyze bounds on accuracy for Region-Based Localization (RBL) algorithms which can be classified as one type of range-free localization algorithms. We prove that if in a RBL algorithm, the deployment region R with the area size s is partitioned into k regions (they can be with any shape and any area size), the localization accuracy is bounded below by no matter how the algorithm partitions R. Although the lower bound is not theoretically tight, our simulation results show that the gap between this bound and achievable accuracy is very small. We conjecture a tighter lower bound when k is large enough. We also observe that in order to achieve high localization accuracy, partitioned regions should have nearly the same size. We give three examples with simulation results to show how the results can be used to set the values of the parameters, like k and the corresponding anchor/event number, in a RBL algorithm in order to achieve desired localization accuracy.
Starting Page	30
Ending Page	39
File Size	2931239
Page Count	10
File Format	PDF
ISBN	9781424451135
DOI	10.1109/MOBHOC.2009.5336977
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Geometry Wireless sensor networks Parameter estimation Goniometers Software algorithms Laboratories Hardware Partitioning algorithms IP networks
Content Type	Text
Resource Type	Article

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