A Method to Reduce Route Discovery Cost of UAV Ad Hoc Network

Table 1

Summary of related work.

Work	Routing protocol	Evaluation metrics	Key advantages	Limitations
Namdev et al. [11]	AODV, OLSR	Packet delivery ratio, end-to-end delay, throughput, jitter	AODV performs better than OLSR for low-density and highly dynamic networks	Does not consider the impact of network size on performance
Zemrane et al. [12]	Reactive, proactive	Packet loss, delay, jitter, throughput, network load	Proactive protocols are more efficient for high-load networks, while reactive protocols are better suited for low-load networks	Do not consider the impact of mobility on performance
Wang et al. [13]	OAODV	Latency, routing overhead, link generation	OAODV performs better than AODV and OLSR in terms of routing overhead and time latency	Does not consider the impact of network size and mobility on performance
Wang et al. [24]	AODV	Path discovery time	AODV is less efficient in terms of path discovery time compared to other protocols	Does not consider other performance metrics
Khan et al. [14]	AODV	Stability, packet delivery ratio, end-to-end delay	AODV results in decreased stability of FANETs due to the high cost during path discovery	Does not consider other performance metrics
Yu et al. [25]	BIMPC	End-to-end delay, delivery ratio, overhead	Suitable for the cluster formation of large-scale UAV networks with dynamic nature	Does not take into account highly dynamic UAV networks.
Yu et al. [26]	APAR	Distance, stability, and congestion level	Designed to mitigate congestion and link breakage in UAV networks. Its approach effectively ensures the selection of optimal routes and enhances network performance	May face limitations in addressing the mobility of UAVs.
Uddin et al. [27]	UAP	Cluster-based protocol, packet delivery ratio, energy consumption	URP is suitable for deployment in UAV networks that lack existing infrastructure and can be quickly set up	URP is specifically designed for wireless sensor networks (WSNs) assisted with a UAV using a single-hop transmission scheme. Therefore, it may not be suitable for applications that require a multihop transmission scheme
Aadil et al. [28]	EACR	Packet delivery ratio, overhead, end-to-end delay	EACR minimizes energy consumption by dynamically adjusting the transmission range of UAVs and optimizing the routing calculation based on the remaining energy of the nodes	The EACR protocol is designed to minimize energy consumption by controlling the transmission range and optimizing routing calculations. However, similar to the BIMPC protocol, EACR only considers UAV nodes with moderate mobility