TY  - JOUR
ID  - SisLab2737
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2737/
IS  - 1-2
A1  - Pham, Duy Hung
A1  - Tran, Quang Vinh
A1  - Ngo, Trung Dung
Y1  - 2017///
N2  - We present a novel online distributed boundary detection and classi?cation algorithm in order to improve accuracy of boundary detection and classi?cation 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-classi?cation 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 identi?ed nodes over the total number of nodes is 100%.
PB  - REV
JF  - REV Journal on Electronics and Communications
VL  - 7
SN  - 1859-387X
TI  - An Online Distributed Boundary Detection and Classification Algorithm for Mobile Sensor Networks
SP  - 29
AV  - none
EP  - 36
ER  -