Efficient periodical boundary detection through boundary crossing record and sensor data overhearing in dense MWSNs
Kazuya Matsuo, Keisuke Goto, Akimitsu Kanzaki, Takahiro Hara · Pervasive and Mobile Computing · 2018
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.