An Adaptive Backoff Algorithm Based on Topology Status for Flying Ad hoc Networks

In recent years, the utilization of flying ad hoc networks (FANETs) has seen a gradual rise across diverse civilian and military applications. The high mobility of nodes in FANETs leads to highly dynamic topology, frequent disruptions in links, and heightened competition for channel access. Traditional adaptive backoff algorithms primarily adjust the backoff window based on wireless channel states, achieving only local network optimality and restraining network performance. This paper first proposes a network global backoff window optimization algorithm T-BEB based on global network topology status, and conducts algorithm performance analysis through BOBYQA. On this basis, this paper implements the algorithm through the link state routing protocol (NLSR) in the named data network (NDN) in ns-3, and simulates the network performance under different loads and node mobility. It is verified that when network traffic is saturated and nodes have high mobility, compared with the traditional BEB algorithm, the T-BEB algorithm can reduce packet delay and system packet loss rate, and improve system throughput.