Skip to main navigation Skip to search Skip to main content

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

Chong Liu, Kui Wu

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

In this paper, we perform thorough performance evaluation on two novel range-free localization methods, Approximate Point In Triangle (APIT) [4] and Ring Overlapping based on Comparison of Received Signal Strength Indicator (ROCRSSI) [5]. We disclose the inherent "undetermined node" problem of APIT, and investigate the system configurations that directly influence the performance of both methods, including anchor deployment strategies, which are ignored by most existing papers. We also illustrate the relationship between these configurations and the achievable estimation accuracy. © 2005 IEEE.
Original languageEnglish
Title of host publicationConference Proceedings of the 24th IEEE International Performance, Computing, and Communications Conference, IPCCC 2005
Pages59-66
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event24th IEEE International Performance, Computing, and Communications Conference, IPCCC 2005 - Phoenix, AZ, United States
Duration: 7 Apr 20059 Apr 2005

Publication series

NameConference Proceedings of the IEEE International Performance, Computing, and Communications Conference

Conference

Conference24th IEEE International Performance, Computing, and Communications Conference, IPCCC 2005
PlaceUnited States
CityPhoenix, AZ
Period7/04/059/04/05

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Fingerprint

Dive into the research topics of 'Performance evaluation of range-free localization methods for wireless sensor networks'. Together they form a unique fingerprint.

Cite this