Node density estimation using sparsely deployed access points
Akira Noguchi, Tomotaka Kimura, Yoshiaki Inoue, Kouji Hirata, Masahiro Muraguchi · 2017
In this paper, we propose a node density estimation method in intermittently connected mobile ad-hoc networks. We consider situations where mobile nodes do not know location information about their positions. Under the situations, the proposed method estimates the node density using sparsely deployed access points. These access points broadcast inspection packets by mobile nodes relaying. After the access points receive the inspection packets, the node density is estimated based on the received packets. Through simulation experiments, we show that the proposed system provides a good approximation of the node density.