relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2737/
title: An Online Distributed Boundary Detection and Classification Algorithm for Mobile Sensor Networks
creator: Pham, Duy Hung
creator: Tran, Quang Vinh
creator: Ngo, Trung Dung
subject: Electronics and Communications
subject: Electronics and Computer Engineering
description: 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%.
publisher: REV
date: 2017
type: Article
type: PeerReviewed
identifier:   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