Flying Ad hoc Networks (FANET): Performance Evaluation of Topology Based Routing Protocols

Wheeb, Ali H.

doi:10.3991/ijim.v16i04.28235

Cited by 18 publications

(4 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Handling such dynamicity is critical for ad hoc routing protocols as frequent path breaks introduce delay into the network and deteriorate the efficiency of data routing. 11,12 Taking care of the QoS parameters is very much necessary for efficient routing among UAVs in FANET. [13][14][15] Considering these issues, a delay-aware efficient routing protocol has been proposed in this paper which utilizes nature-inspired optimization algorithm in combination with a meta-heuristic algorithm to provide optimal data delivery among the flying UAVs.…”

Section: Our Contributionmentioning

confidence: 99%

“…Routing among UAVs has been an area of concern since the fast‐moving UAVs intercommunicate for some duration and then they change their position and velocity thereby breaking the communication session. Handling such dynamicity is critical for ad hoc routing protocols as frequent path breaks introduce delay into the network and deteriorate the efficiency of data routing 11,12 . Taking care of the QoS parameters is very much necessary for efficient routing among UAVs in FANET 13–15 .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A quality of service‐aware routing protocol for FANETs

Malhotra,

Kaur

2024

Int J Communication

View full text Add to dashboard Cite

SummaryFlying ad hoc networks (FANETs) are a class of highly dynamic mobile ad hoc networks in which flying UAVs coordinate among themselves for delivering the data to the applications. Data routing in FANETs has been a challenge due to the inherent mobile and unpredictable movement of UAV nodes. This paper proposes a quality of service‐aware routing protocol (QARP) for FANETs which incorporates hybrid nature‐inspired heuristics to identify optimized routes to the destination UAVs. The routing mechanism operates in two phases. In the first phase, the neighbour discovery initializes the adapted firefly algorithm to identify nodes with least packet delivery delay to the destination. In the second phase, the Gaussian quantum‐behaved particle swarm optimization meta‐heuristic algorithm is utilized to identify the most optimal nodes to create a route for data delivery to destination. The proposed protocol has been tested to perform better in terms of delay, routing overhead, throughput and packet delivery ratio in comparison to MA‐DP‐AODV, MDA‐AODV and MDRMA routing protocols.

show abstract

Section: Our Contributionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A quality of service‐aware routing protocol for FANETs

Malhotra,

Kaur

2024

Int J Communication

View full text Add to dashboard Cite

show abstract

“…The study on FANET predominantly discusses routing protocols [23], with proposed approaches aimed at improving network reliability and connection stability between all nodes [24,25]. Some of these proposed protocols are hybrid [26,27], while others have been comparatively evaluated [28]. Additionally, a resource allocation protocol has been suggested for air slicing in multiple flexible UAV-assisted cellular communications [29], including Machine-to-Machine (M2M) [30] and Device-to-Device (D2D) communications [31][32][33][34].…”

Section: Related Workmentioning

confidence: 99%

LSTDA: Link Stability and Transmission Delay Aware Routing Mechanism for Flying Ad-Hoc Network (FANET)

Ali,

Zaman,

Shah

et al. 2023

CMC

View full text Add to dashboard Cite

The paper presents a new protocol called Link Stability and Transmission Delay Aware (LSTDA) for Flying Adhoc Network (FANET) with a focus on network corridors (NC). FANET consists of Unmanned Aerial Vehicles (UAVs) that face challenges in avoiding transmission loss and delay while ensuring stable communication. The proposed protocol introduces a novel link stability with network corridors priority node selection to check and ensure fair communication in the entire network. The protocol uses a Red-Black (R-B) tree to achieve maximum channel utilization and an advanced relay approach. The paper evaluates LSTDA in terms of End-to-End Delay (E2ED), Packet Delivery Ratio (PDR), Network Lifetime (NLT), and Transmission Loss (TL), and compares it with existing methods such as Link Stability Estimation-based Routing (LEPR), Distributed Priority Tree-based Routing (DPTR), and Delay and Link Stability Aware (DLSA) using MATLAB simulations. The results show that LSTDA outperforms the other protocols, with lower average delay, higher average PDR, longer average NLT, and comparable average TL.

show abstract

“…WSN protocol stack [6] When numerous sensor nodes are randomly deployed in remote regions such as forests, multi-hop communication is used. Therefore, an energy-efficient multi-hop routing protocol is desirable for the NWL [10]. Cluster-based protocols were found to be the most effective [11].…”

Section: Introductionmentioning

confidence: 99%

Quality of Service-Based Cross-Layer Protocol for Wireless Sensor Networks

Arockiaraj

Makkithaya

2022

Int. J. Interact. Mob. Technol.

View full text Add to dashboard Cite

Sensor nodes in wireless sensor networks (WSN) are used for perceiving, monitoring, and controlling a wide range of applications. Owing to the small size of sensor nodes and limited power sources, energy saving is critical for ensuring network longevity. Protocols in different layers consume energy for their function. It is possible to significantly reduce energy usage by including energy-efficiency measures in the protocol design. Most protocols in the literature focus on the energy efficiency in individual layers. Recent studies have shown that cross-layer designs are more energy efficient than individual layer designs. Therefore, this study presents a cross-layer protocol design that combines network and data link layers to minimize energy consumption. This article proposes a novel "Quality of Service Based Cross-layer (QSCL) Protocol" by combining the IEEE 802.15.4-based MAC protocol and the LEACH-based routing protocol. The dynamic duty cycle of the IEEE 802.15.4 protocol was modified based on the amount of data present in the node, which minimized the energy consumption of the data-transfer mechanism. The cluster head (CH) selection of the LEACH-based protocol was modified to consider the average residual energy (RE) of the nodes and their distance from the sink. This helps preserve the energy in the CH, thereby extending the network lifetime. Simulation studies demonstrated that the proposed QSCL outperformed the existing protocols by prolonging the network lifetime.

show abstract

Flying Ad hoc Networks (FANET): Performance Evaluation of Topology Based Routing Protocols

Cited by 18 publications

References 26 publications

A quality of service‐aware routing protocol for FANETs

A quality of service‐aware routing protocol for FANETs

LSTDA: Link Stability and Transmission Delay Aware Routing Mechanism for Flying Ad-Hoc Network (FANET)

Quality of Service-Based Cross-Layer Protocol for Wireless Sensor Networks

Contact Info

Product

Resources

About