Routing flying Ad Hoc network using salp swarm algorithm

Mahmood, Alaa Ibrahim; Alsaif, Omar Ibrahim; Saleh, Ibrahim A.

doi:10.11591/ijeecs.v28.i2.pp946-953

Cited by 2 publications

(2 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The functions they execute in both commercial and civilian contexts are expected to progressively increase in complexity as time progresses. Here is a compilation of some of their existing capabilities [1], [5], [8], [10], [16], [34], [52]- [54], [59]: -Fully automated flights: Employing traditional techniques can pose difficulties when attempting to chart and monitor extensive regions. Nevertheless, drones equipped with pre-programmed flight routes have the capability to perform this task without the need for manual intervention.…”

Section: What Is the Future Of Military Drones?mentioning

confidence: 99%

Quantum drones and the future of military warfare

Sutikno

2024

IJ-ICT

View full text Add to dashboard Cite

The advent of drones has significantly impacted military warfare, providing improved reconnaissance, surveillance, and target acquisition (RSTA), cost savings, increased convenience, safety, and flexibility. A layered network control architecture, known as the internet of drones (IoD), coordinates drone access to controlled airspace and offers navigation services. Various systems, including wireless sensor networks (WSN) and drones directed to an expanded controlling zone, integrate with IoD to improve connection performance. This paper provides an overview of the IoD and the internet of quantum drones (IoQD), highlighting key issues and potential solutions in applications and deployment. The IoQD provides primary features such as secure message exchange, fast communication processes, the viability of creating and deploying private IoQD, and enabling a new field of application, quantum well (QW). In conclusion, the advent of drone technology has significantly improved various aspects of military operations, including reconnaissance, surveillance, and target acquisition. The IoQD offers a promising solution for military networks, facilitating the safe and expedited transfer of data, ultimately benefiting the entire military network.

show abstract

Section: What Is the Future Of Military Drones?mentioning

confidence: 99%

Quantum drones and the future of military warfare

Sutikno

2024

IJ-ICT

View full text Add to dashboard Cite

show abstract

“…The RERR message contains the IP address of each destination node, which has become unreachable due to the link break. In AODV, route creation between two nodes is done based on the Route Discovery and Route Maintenance Process [24].…”

Section: Route Error (Rerr) Message Formatmentioning

confidence: 99%

Frozen Base Gateway Discovery Algorithm for Mobile Ad-Hock Network with Internet Connectivity Using AODV + Routing Algorithm

Mekonnen,

Asegi,

Jemal

2023

JFSC

View full text Add to dashboard Cite

A mobile ad-hoc network (MANET) is a self-organized, auto-configured network and the mobile nodes have been free to move. To enable the MANET to connect to the internet it uses an intermediate bridge called a gateway. The MANET and the internet gateway is a heterogeneous network, which needs a gateway discovery. There are three types of gateway discovery mechanisms: proactive, reactive, and hybrid gateway discovery mechanism. The main challenge in the integration of the MANET and the Internet is, that there are high link disconnection results from node mobility and limited energy. In addition link disconnection, packet drop, and end-to-end delay. This study examines the impact of node mobility and energy in the frozen path from the source node to the destination node of MANET In this study, the Ad-hoc on-demand distance vector routing (AODV) routing protocol is used and modified to examine the gateway selection for MANET and the Internet. Moreover, the AODV+ control message RREQ and RREP and the routing table are improved to store the energy factor, path queue length, and frozen factor of the path. The proposed gateway discovery algorithm is known as frozen-based gateway AODV+ (F_AODV+), The stability factors of the path from the source node to the gateway, are calculated using a simple additive weighting method of the energy factor, average path queue node, and the path with the Maximum energy factor and minimum queue length is the more Frozen to select Frozen gateway from the source node to distension node.A mobile ad-hoc network (MANET) is a self-organized, auto-configured network and the mobile nodes have been free to move. To enable the MANET to connect to the internet it uses an intermediate bridge called a gateway. The MANET and the internet gateway is a heterogeneous network, which needs a gateway discovery. There are three types of gateway discovery mechanisms: proactive, reactive, and hybrid gateway discovery mechanism. The main challenge in the integration of the MANET and the Internet is, that there are high link disconnection results from node mobility and limited energy. In addition link disconnection, packet drop, and end-to-end delay. This study examines the impact of node mobility and energy in the frozen path from the source node to the destination node of MANET In this study, the Ad-hoc on-demand distance vector routing (AODV) routing protocol is used and modified to examine the gateway selection for MANET and the Internet. Moreover, the AODV+ control message RREQ and RREP and the routing table are improved to store the energy factor, path queue length, and frozen factor of the path. The proposed gateway discovery algorithm is known as frozen-based gateway AODV+ (F_AODV+), The stability factors of the path from the source node to the gateway, are calculated using a simple additive weighting method of the energy factor, average path queue node, and the path with the Maximum energy factor and minimum queue length is the more Frozen to select Frozen gateway from the source node to distension node.

show abstract

Routing flying Ad Hoc network using salp swarm algorithm

Cited by 2 publications

References 22 publications

Quantum drones and the future of military warfare

Quantum drones and the future of military warfare

Frozen Base Gateway Discovery Algorithm for Mobile Ad-Hock Network with Internet Connectivity Using AODV + Routing Algorithm

Contact Info

Product

Resources

About