Abstract:
Due to the unavailability of the traditional network in disaster scenarios,
users are unable to communicate with each other or the rescue team. In this
regard, Unmanned Aerial Vehicle (UAV) as an Aerial Base Station (ABS)
and Device-to-Device communication (D2D) provide an alternative for enabling end-to-end connectivity among users. In this paper, we proposed a
k-value selection method relating three communication factors: area, receiver
sensitivity, and density. Two UAV trajectory planning algorithms are pro posed based on the RSAND scheme and K-means centroids. In addition, two
clustering schemes are proposed based on UAV trajectory to select a more
suitable node as a cluster head (CH) to manage intra-cluster distances. The
performance of proposed schemes is analyzed based on average end-to-end
outage probability. Simulation results show the validity of proposed algorithms which have better performance over benchmark schemes in terms of
average end-to-end outage probability and trajectory length. Moreover, a
case study of a real terrorist attack scenario is carried out to validate the
efficacy of the proposed solution.
