Using Centrality Based Topology Control for FANET Survivability Against Jamming


Sarı T. T., Seçinti G.

Computer Networks, vol.242, 2024 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 242
  • Publication Date: 2024
  • Doi Number: 10.1016/j.comnet.2024.110250
  • Journal Name: Computer Networks
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, ABI/INFORM, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Library and Information Science Abstracts, Library, Information Science & Technology Abstracts (LISTA), Metadex, zbMATH, Civil Engineering Abstracts
  • Keywords: D* Lite, Eigenvector centrality, Flying Ad Hoc networks, Graph theory, Software-defined networks
  • Istanbul Technical University Affiliated: Yes

Abstract

Flying Ad Hoc Networks (FANETs) provide connectivity in extreme environments such as battle zones and disaster areas. Since these networks operate without infrastructure, they must calculate routes on the fly. Unfortunately, as each e2e link selfishly chooses the shortest path for its flow, they also tend to overwhelm geographically central nodes, making these nodes the bottleneck for all flows. On top of this, these networks are quite sensitive to jamming attacks, which can shut down the network's operation entirely. In this paper, we extend our previous work CentAir with an additional operation state that enables rapid communication by reducing interframe spaces of nodes according to their eigenvector centrality measure. Following this, we propose an intelligent heuristic to enable hybrid operation among these states. This hybrid operation state improves e2e latency by modifying interframe spacing regarding the node's eigenvector centrality. Our exhaustive simulation results show that Hybrid CentAir achieves an 18.1 percent more throughput, a 21.1 percent lower latency while being 17.8 percent more energy efficient compared to multi-channel OLSR. Additionally, our protocol shows an 11.5 percent better packet delivery ratio against randomly placed deceptive jammers that continuously transmit false packets in the area.