Thursday , January 21 2021

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

Haque NAWAZ1,2,* , Husnain MANSOOR ALI1
Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Karachi, Sindh, Pakistan
Sindh Madressatul Islam University, Karachi, Sindh, Pakistan (*Corresponding author)

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.

Keywords: UAVs, UAVCN, Cross layer design, Efficient power, Routing, EPOLSR.


Haque NAWAZ, Husnain MANSOOR ALIImplementation of Cross Layer Design for Efficient Power and Routing in UAV Communication Networks, Studies in Informatics and Control, ISSN 1220-1766, vol. 29(1), pp. 111-120, 2020.