@inproceedings{68d28b185ddd4b489f75eeaee057dd6f,
title = "A low-cost localization algorithm for mobile sensor networks",
abstract = "Most of existing localization algorithms for mobile sensor networks are based on the Sequential Monte Carlo (SMC) method. SMC-based methods has either high localization error in low-anchor density environments or high computation cost. In this paper, we propose a low cost localization algorithm. Our idea comes from the observation that a sensor node which hears an another node for a sufficiently long time has trajectory similar to the heard anchor node's trajectory. Simulation shows that our algorithm has low localization error, and low computation cost.",
keywords = "Localization, Mobile, Wireless Sensor Networks",
author = "Chiou, {Dar Wei} and Chang, {Guey Yun} and Huang, {Jen Feng}",
note = "Publisher Copyright: {\textcopyright} 2015 The authors and IOS Press. All rights reserved.; International Computer Symposium, ICS 2014 ; Conference date: 12-12-2014 Through 14-12-2014",
year = "2015",
doi = "10.3233/978-1-61499-484-8-1571",
language = "???core.languages.en_GB???",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press",
pages = "1571--1579",
editor = "Chu, {William Cheng-Chung} and Yang, {Stephen Jenn-Hwa} and Han-Chieh Chao",
booktitle = "Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014",
}