eprintid: 2737
rev_number: 7
eprint_status: archive
userid: 261
dir: disk0/00/00/27/37
datestamp: 2017-12-04 06:46:29
lastmod: 2017-12-04 06:46:29
status_changed: 2017-12-04 06:46:29
type: article
metadata_visibility: show
creators_name: Pham, Duy Hung
creators_name: Tran, Quang Vinh
creators_name: Ngo, Trung Dung
creators_id: hungpd@vnu.edu.vn
creators_id: vinhtq@vnu.edu.vn
creators_id: dungnt@ieee.org
title: An Online Distributed Boundary Detection and Classification Algorithm for Mobile Sensor Networks
ispublished: pub
subjects: ECE
subjects: ElectronicsandComputerEngineering
divisions: fac_fet
abstract: We present a novel online distributed boundary detection and classification algorithm in order to improve accuracy of boundary detection and classification for mobile sensor networks. This algorithm is developed by incorporating a
boundary detection algorithm and our newly proposed boundary error correction algorithm. It is a fully distributed algorithm based on the geometric approach allowing to remove boundary errors without recursive process and global synchronization. Moreover, the algorithm allows mobile nodes to identify their states corresponding to their positions in network topologies,
leading to self-classification of interior and exterior boundaries of network topologies. We have demonstrated effectiveness of this algorithm in both simulation and real-world experiments and proved that the accuracy of the ratio of correctly identified nodes over the total number of nodes is 100%.
date: 2017
date_type: published
publisher: REV
full_text_status: none
publication: REV Journal on Electronics and Communications
volume: 7
number: 1-2
pagerange: 29-36
refereed: TRUE
issn: 1859-387X
citation:   Pham, Duy Hung and Tran, Quang Vinh and Ngo, Trung Dung  (2017) An Online Distributed Boundary Detection and Classification Algorithm for Mobile Sensor Networks.  REV Journal on Electronics and Communications, 7  (1-2).   pp. 29-36.  ISSN 1859-387X