COCOMA: a resource-optimized cooperative UAVs communication protocol for surveillance and monitoring applications

Youssra Cheriguene, Fatima Zohra Bousbaa, Chaker Abdelaziz Kerrache, Soumia Djellikh, Nasreddine Lagraa, Mohamed Lahby, Abderrahmane Lakas

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

The deployment of a swarm of cooperative Unmanned Aerial Vehicles (UAVs) to pursue a mission is knowing an increasing success nowadays. This is mainly because deploying a group of cooperating UAVs instead of one single UAV offers numerous advantages, including the extension of the mission coverage, fault tolerance in case of losing a UAV during a mission, and improving the data gathering accuracy. Multicast routing, on the other hand, is a critical operation for UAV swarm networks, as it facilitates critical tasks including information transmission and swarm coordination. Moreover, designing efficient multicast protocols with Quality of Service (QoS) can be challenging due to various factors such as limited energy constraints and the dynamically changing topology with 3D movement which causes frequent changes in the network topology. Therefore, in this paper, we investigate the multicast routing problem in a swarm of UAVs. We first provide a detailed classification of existing efforts in swarm routing protocols in terms of transmission strategies. And second, we propose a new Energy Efficient Inter-UAV Multicast Routing Protocol for surveillance and monitoring applications called “COCOMA”. We illustrate through extensive simulations that COCOMA achieves the desired efficient communication backbone and Quality-of-Service. We also discuss and implement an improvement of COCOMA called COCOMA+ and show that both versions are efficient and effective in term of reducing the total emission energy by at least 10 dBm compared to the state-of-art work SP-GMRF. In addition, our proposal optimizes also the End-to-End Delay, the number of hops in the routing process, and the network throughput which consequently leads to increasing the packet delivery ratio by more than to 22% compared to SP-GMRF protocol.

Original languageEnglish
JournalWireless Networks
DOIs
Publication statusAccepted/In press - 2022

Keywords

  • Energy effciency
  • Green UAV networking
  • Multicast routing
  • UAV swarms

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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