Implementation of Cross Layer Design for Efficient Power and Routing in UAV Communication Networks

Abstract

The unmanned aerial vehicle communication networks (UAVCN) is an emerging technology of wireless communication. By making use of this technology, the swarm of unmanned aerial vehicles (UAVs) forms a network in which the UAVs can communicate with each other and trigger the information for a particular operation of military and civilian applications. The UAV nodes frequently face design issues and power limitations , which affect the routing mechanism. It is a unique challenge for the researchers to introduce the efficient power and routing mechanism that can improve the performance of UAVs' communication networks. However, the concept of cross layer design and efficient power algorithm proposed in this paper increases the performance of UAVCN. The proposed approach integrates the layers 1,2,3 (physical, link, and network). By implementing this kind of approach, an efficient power optimized link state routing (EPOLSR) protocol introduced in this research modifies the conventional OLSR. The EPOLSR and OLSR are implemented and assessed in the first experiment scenario of UAVs communication networks by using an optimized network engineering tool. Moreover, the EPOLSR, OLSR, AODV, and DSR are implemented and assessed in the second experiment scenario. In these testbed experiments, it has been observed that EPOLSR performs better than other routing protocols for UAVs communication networks by increasing the throughput and minimizing the delay.

UAV Communication Network Modeling and Energy Consumption Optimization Based on Routing Algorithm

“…The second type is peripheral forwarding: this forwarding method is applicable to the forwarding needs that are smaller than the straight-line distance between each node in the above greedy forwarding, so it can be regarded as a way of in-place forwarding. When the distance of communication data transmission is insufficient, the packets will encounter routing hole problem during transmission and thus cannot be carried out according to the above greedy forwarding method [8][9][10]. A right-hand rule for perimeter forwarding is established to prevent routing holes when UAVs are sent in a self-organizing network, and a sequence of traversal operations is completed in a clockwise direction, forming a polygon region in the process.…”

Intelligent agent and optimization‐based deep residual network to secure communication in UAV network

“…The technique failed to utilize Artificial Intelligence (AI)‐based and bioinspired techniques for initiating elevated speed localization of nodes. Nawaz and Mansoor Ali 2 developed a technique for improving the performance of UAVs. The model integrated the layers, like, physical layer, link layer, and network layer.…”

“…In wireless technologies, a promising technique is expressed by UAV communication and its move towards the gloom of a Mobile Ad Hoc Network (MANET) that utilizes platformless infrastructures. The mobile nodes share the data amongst each other throughout the communication in the air 2 . There exist two types of UAV models; one is single, and the second is multi‐UAV models.…”

“…It offers exposure amongst huge domains and has elevated throughput by building an ad hoc multihoping network 3 . The lively topologies of the UAV model are due to the exceedingly intermittent speeds, and vibrant three‐dimensional (3D) infrastructures can weaken wireless link quality 2 . UAV is emerging as a novel application domain, like civil and military services.…”

Survey of Security Protocols and Vulnerabilities in Unmanned Aerial Vehicles

“…The confidentiality of the system is not protected if an attacker can obtain all that information by eavesdropping. Most of the routing protocols have this vulnerability [117]- [119].…”