A Partial-Range-Aware Localization Algorithm for Ad-hoc Wireless Sensor Networks

Authors:
Xiaoli Li;Hongchi Shi;Yi Shang
Affiliations:
University of Missouri-Columbia;University of Missouri-Columbia;University of Missouri-Columbia
Venue:
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
Year:
2004

Citing 0
Cited 10

OPT: online person tracking system for context-awareness in wireless personal network

REALMAN '06 Proceedings of the 2nd international workshop on Multi-hop ad hoc networks: from theory to reality
Energy cost and error performance of range-aware, anchor-free localization algorithms

Ad Hoc Networks
Sensor network localisation based on sorted RSSI quantisation

International Journal of Ad Hoc and Ubiquitous Computing
Localization using signal strength: to range or not to range?

Proceedings of the first ACM international workshop on Mobile entity localization and tracking in GPS-less environments
Optimal RSS threshold selection in connectivity-based localization schemes

Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems
Error analysis of quantised RSSI based sensor network localisation

International Journal of Wireless and Mobile Computing
Fast message dissemination in random geometric ad-hoc radio networks

ISAAC'07 Proceedings of the 18th international conference on Algorithms and computation
Scalable localization in wireless sensor networks

HiPC'06 Proceedings of the 13th international conference on High Performance Computing
Understanding the limits of RF-based collaborative localization

IEEE/ACM Transactions on Networking (TON)
Localization of Wireless Sensor Networks Using a Single Anchor Node

Wireless Personal Communications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

Current wireless sensor network localization algorithms are categorized either as range-free or range-aware algorithms based on whether they use the range (i.e., distance) information. Although wireless sensor systems usually have available received signal strength (RSS) readings, this useful information has not been effectively used in the existing localization algorithms. The existing range-free algorithms do not use this information, and the range-aware algorithms require sophisticated range techniques to estimate ranges. In this paper, we introduce and develop a partial-range-aware localization scheme utilizing RSS readings. The scheme can be implemented in a distributed way and can be used in any hop-based range-free algorithms to improve their localization accuracy. Through extensive simulation, the results show that the partial-range-aware algorithm can improve the localization accuracy by reducing position errors up to 50% of the previous range-free localization results.