NDLI: SHARP: a new approach to relative localization in wireless sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Ahmed, A.A. Shi, H. Shang, Y.
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci., Missouri Univ., Columbia, MO, USA (Ahmed, A.A.; Shi, H.; Shang, Y.)
Abstract	For wireless sensor networks, localization is crucial due to the dynamic nature of deployment. In relative localization, nodes use the distance measurements to estimate their positions relative to some coordinate system. In absolute localization, a few nodes (called anchors) need to know their absolute positions, and all the other nodes are absolutely localized in the coordinate system of the anchors. Relative and absolute localization methods differ in both the performance and the cost. We present a new approach to relative localization that we refer to as: simple hybrid absolute-relative positioning (SHARP). In SHARP, a relative localization method (M1) is used to relatively localize N/sub r/ reference nodes. Then, an absolute localization method (M2) uses these N/sub r/ nodes as anchors to localize the rest of the nodes. Choosing N/sub r/, M1, and M2 gives a wide range of performance-cost tuning. We have done extensive simulation using the multidimensional scaling (MDS) method as M1 and the ad-hoc positioning system (APS) method as M2. While previous research shows that MDS gives better localization results than APS, our simulation shows that SHARP outperforms MDS if both the localization error and the cost are considered.
Sponsorship	IEEE Comput. Soc. Tech. Comm. on Distributed Process. (TCDP)
Starting Page	892
Ending Page	898
File Size	321818
Page Count	7
File Format	PDF
ISBN	0769523285
DOI	10.1109/ICDCSW.2005.125
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent networks Wireless sensor networks Costs Sensor phenomena and characterization Distance measurement Multidimensional systems Computer science Instruments Micromechanical devices Microelectromechanical systems
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Smart, intelligent and cogent MEMS based sensors

Distance Matrix Reconstruction from Incomplete Distance Information for Sensor Network Localization

Performance evaluation of range-free localization methods for wireless sensor networks

A New Ranging Method for Anisotropic Wireless Sensor Networks

An Analysis on Information Dependability Measurement of Wireless Sensor Networks

A Range-Free Localization Algorithm for Wireless Sensor Networks

Wireless MEMS Sensing System for Human Activity Monitoring

A generic MEMS sensor based on differential measurement

A survey on network protocols for wireless sensor networks

SHARP: a new approach to relative localization in wireless sensor networks

Similar Documents

Smart, intelligent and cogent MEMS based sensors

Distance Matrix Reconstruction from Incomplete Distance Information for Sensor Network Localization

Performance evaluation of range-free localization methods for wireless sensor networks

A New Ranging Method for Anisotropic Wireless Sensor Networks

An Analysis on Information Dependability Measurement of Wireless Sensor Networks

A Range-Free Localization Algorithm for Wireless Sensor Networks

Wireless MEMS Sensing System for Human Activity Monitoring

A generic MEMS sensor based on differential measurement

A survey on network protocols for wireless sensor networks

SHARP: a new approach to relative localization in wireless sensor networks