Minimize the routing overhead through 3D cone shaped location-aided routing protocol for FANETs

Kumar, Sushil; Raw, Ram Shringar; Bansal, Abhishek

doi:10.1007/s41870-020-00536-3

Cited by 20 publications

(8 citation statements)

References 25 publications

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“…26 Therefore, the shape and size of the RZ in the existing approach can significantly impact the network's overall performance. To handle these limitations, in our previous work, 27 an improved version of the conventional LAR called the 3DC-LAR protocol was implemented for FANETs. The proposed approach reshaped the concept of a RZ using 3D cone-shape architecture and enhanced the routing overhead.…”

Section: Related Workmentioning

confidence: 99%

LoCaL: Link‐optimized cone‐assisted location routing in flying ad hoc networks

Kumar

Raw

Bansal

2022

Int J Communication

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Summary Recently, flying ad hoc networks (FANETs) has become a core research area in wireless networks that involves multiple unmanned aerial vehicles (UAVs). It is widely used in modern warfare for surveillance, monitoring and reconnaissance. The routing in FANETs poses a more significant challenge due to limited energy and frequent link disconnection between the UAVs. Consequently, an effective route is always required to ensure data transmission between UAVs. Therefore, this research proposes a link‐optimized cone‐assisted location (LoCaL) routing protocol for FANETs. The main goal of the proposed LoCaL is to enhance the link duration between the UAVs in which a source selects a forwarding UAV from a given set of neighbours by estimating the residual energy, link duration time and safety degree parameters. Proposed LoCaL provides better stability and less frequent route breaks between source and destination. Further, the mathematical formulation of the proposed approach is presented through the utility function to enhance the route stability by selecting all those relay UAVs in the cone‐shaped request zone, which reduces the routing overhead in discovering the route. Finally, the performance of the LoCaL has been presented through key indicators such as energy consumption, routing overhead, message delivery ratio, network lifetime and delay compared to the existing approaches.

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Section: Related Workmentioning

confidence: 99%

LoCaL: Link‐optimized cone‐assisted location routing in flying ad hoc networks

Kumar

Raw

Bansal

2022

Int J Communication

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“…The scheme gave a high delivery rate and less delay compared to the existing techniques. Kumar et al 10 proposed the 3D cone‐shaped location aided routing protocol to track the position of unmanned aerial vehicles in flying ad hoc networks. The existing techniques focused on the zone‐based routing protocol that requested the zone to know the location of the UAV.…”

Section: Related Workmentioning

confidence: 99%

Mobility Management UAV‐based Grouping routing protocol in flying ad hoc networks for biomedical applications

Ananthi

Jose

2022

Int J Communication

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Wireless body area networks play a vital role in the medical field by saving human lives. It senses the human body condition and transmits it to the respective doctors. The faster the communication, the sensed data can be transmitted faster and the patients in emergency can be treated on time.Therefore, to increase the speed of communication, Unmanned Aerial Vehicles (UAV) are used in biomedical applications. In this flying ad hoc network, there is a possibility of link failure due to the high mobility of UAV. To overcome this issue, a new routing protocol, Mobility Management UAV-based Grouping (MMUG), for biomedical data transmission from one ground station to another via UAV is suggested in this research. The UAV creates the grouping system based on the coverage range of the group head. Group head selects the node that lies closer to the ground station. Group head continuously monitors the mobility of the unmanned aerial vehicles that lie in the coverage range and thus helps to maintain the link stability. The mobility issue will be overcome by using this proposed scheme, and it manages the mobility. The mobility management helps to increase the network performance by increasing the delivery rate and throughput and reducing the drop rate and overhead. Simulation results show that this routing protocol achieves 86% delivery rate and 1.95 Mbps throughput and reduces the drop rate by 14%, control overhead by 23%, and routing overhead by 20%. Moreover, this model achieves higher network performance compared to the existing techniques.

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“…Bhardwaj and Kaur [25] introduced the optimized route discovery and node registration approach in Flying Ad Hoc Networks and used ad hoc on-demand distance vector routing protocol to improve the throughput and reduce the jitter and delay. Kumar et al [26] suggested the 3D cone-shaped location-aided routing algorithm which helps to identify the location of drones by using a positionbased routing protocol. This scheme mainly focuses on reducing the routing overhead in Flying Ad Hoc Networks.…”

Section: Routing Protocols In Fanetmentioning

confidence: 99%

“…Compared to other routing protocols, the AODV routing protocol is the one best suitable for the improvement of packet delivery ratio and reduces the drop rate. AODV [26] AOMDV [10] DSR [23] DSDV [28] OLSR [12] While designing the routing protocol, the following criteria need to be concentrated for the efficient Flying Ad Hoc Network. The topology-aware scheme needs to add the structure type of network.…”

Section: Hierarchical Routing Protocolmentioning

confidence: 99%

A Review on Various Routing Protocol Designing Features for Flying Ad Hoc Networks

Ananthi

Jose

2021

Lecture Notes on Data Engineering and Communications Technologies

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Flying Ad Hoc Network is derived from the mobile ad hoc network and it consists of unmanned aerial vehicles (UAV) for high-speed communication. Flying Ad Hoc Network has high mobility, and the users can communicate without the help of human intervention. Due to high mobility in FANET, network performance is to be concentrated more. Designing a routing protocol is the most important metric for continuous monitoring, analyzing the network performance, and improve efficient network communication. Design of routing protocol should fulfill the important criteria like neighbor nodes selection, shortest path, traffic control, high scalability, high reliability, high data delivery, low drop rate, lesser delay, and high throughput. Due to the high speed in FANET, routing protocols are to be focused on the improvement of network performance and quality of services. This research work studies the detailed review of suitable routing protocols for Flying Ad hoc Networks and discussed the possible outcomes of the different routing strategies such as source-initiated data-centric, table-driven, hybrid, multipath, location-aware, multicast, geographical multicast, power-aware, and energy-aware. This research study suggested the important metrics be concentrated on designing the efficient routing protocol for Flying Ad Hoc Networks and on improving the quality of services.

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Minimize the routing overhead through 3D cone shaped location-aided routing protocol for FANETs

Cited by 20 publications

References 25 publications

LoCaL: Link‐optimized cone‐assisted location routing in flying ad hoc networks

LoCaL: Link‐optimized cone‐assisted location routing in flying ad hoc networks

Mobility Management UAV‐based Grouping routing protocol in flying ad hoc networks for biomedical applications

A Review on Various Routing Protocol Designing Features for Flying Ad Hoc Networks

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