Title
Efficient periodical boundary detection through boundary crossing record and sensor data overhearing in dense MWSNs.
Abstract
In dense mobile wireless sensor networks (MWSNs), a number of major applications require monitoring of the geographical boundaries of sensor readings among physical phenomena with as low traffic as possible. In this paper, we propose a periodical boundary detection method reducing traffic by exchanging sensor data only among nodes near the boundaries. Our proposed method achieves this by incorporating recording the time when a node has crossed the boundary and overhearing sensor data. We confirmed the effectiveness of our proposed method through simulation experiments.
Year
DOI
Venue
2018
10.1016/j.pmcj.2018.06.008
Pervasive and Mobile Computing
Keywords
Field
DocType
Dense mobile wireless sensor networks,Periodical boundary detection,Traffic reduction
Computer science,Mobile wireless,Boundary detection,Wireless sensor network,Physical phenomena,Distributed computing
Journal
Volume
ISSN
Citations 
49
1574-1192
0
PageRank 
References 
Authors
0.34
9
4
Name
Order
Citations
PageRank
Kazuya Matsuo1215.07
Keisuke Goto29813.93
Akimitsu Kanzaki314223.85
Takahiro Hara41819193.85