Paper Info
Title
FMAC: A Self-Adaptive MAC Protocol for Flocking of Flying <italic>Ad Hoc</italic> Network
Abstract
Considering the high-density and high-dynamic feature of cooperative unmanned aerial vehicles (UAVs) swarm, also referred to as flocking of flying ad hoc networks (FANETs), reliable medium access control (MAC) protocol design for network connectivity maintaining and network information sharing is a challenging issue. In this article, we propose a self-adaptive carrier sense multiple access with collision avoidance (CSMA/CA)-based MAC protocol for flocking of FANET, namely, FMAC, to provide reliable broadcast information service under density-varying flocking scenarios. To represent the varying trend of UAV density during flocking, we define the collective neighboring potential (CNP) in the FMAC protocol. Specifically, at the beginning of each period, each UAV computes the current CNP based on available neighbors' motion states. Then, the value of CNP at the start of the next period regarding the same neighbors is predicted using UAV's kinetic equation. After that, each UAV can update the contention window (CW) size by comparing the current CNP and the predicted CNP, and CW will be decreased (increased) if the current CNP is larger (smaller) than the predicted one for enough period. The simulation results show that the proposed FMAC protocol can ensure high successful transmission probability under density-varying flocking scenarios and outperforms the typical MAC solutions.
Year
DOI
Venue
2021
10.1109/JIOT.2020.3007071
IEEE Internet of Things Journal
Keywords
DocType
Volume
Collective neighboring potential (CNP),contention window (CW),flocking,medium access control (MAC),unmanned aerial vehicles (UAVs) swarm
Journal
8
Issue
ISSN
Citations 
1
2327-4662
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Xinquan Huang100.68
aijun liu26118.26
Haibo Zhou320314.10
Kai Yu4112.51
Wei Wang522426.90
Xuemin Shen615389928.67