International Journal of Computer Networks and Applications (IJCNA)

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ISSN : 2395-0455

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International Journal of Computer Networks and Applications (IJCNA)

International Journal of Computer Networks and Applications (IJCNA)

Published By EverScience Publications

ISSN : 2395-0455

Multiple Route Selection for Avoiding Single Point Failure in Flying Ad Hoc Network (FANET)

Author NameAuthor Details

H. Shaleena, K. Sumangala

H. Shaleena[1]

K. Sumangala[2]

[1]Department of Computer Science, Kongunadu Arts and Science College, Coimbatore, Tamil Nadu, India.

[2]Department of Computer Applications, Kongunadu Arts and Science College, Coimbatore, Tamil Nadu, India.

Cite this Article

DOI: 10.22247/ijcna/2024/23

Pages : 363-374

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Abstract

In Flying Ad Hoc Network (FANET), routing is a major challenging task due to dynamic network topology and inadequate resources. This can be resolved by designing reliable Routing Protocols (RPs) that assist in boosting the network’s Quality-of-Service (QoS) performance. Among many RPs, an Energy-aware and Predictive Fuzzy Logic with Consistent Link-based Copy adaptive Transmit-based RP (EPFL-CLCT-RP) has achieved high data transmission reliability and low energy utilization by limiting the redundant transmission of data duplicates over the network. However, in the case of multipath routing, there can be high delay and routing overhead when choosing an alternate route in case of link failure in the primary optimal path. Therefore, a novel Multipath EPFL-CLCT-RP (MEPFL-CLCT-RP) is proposed in this article to transfer data in multi-hop FANETs. The key goal is to reduce routing overhead and delay in multi-hop FANETs. First, the Fuzzy Logic (FL) system is used to choose multiple paths from the source to destination nodes based on near-optimal solutions for data transmission. Then, a new routing metric is determined for all available routes in the multi-path set according to the link survival probability, and the path with the highest link survival probability is elected as a backup path. During link failures, if the source node cannot create a valid alternate path by considering its nearby nodes, then the selected backup path is used for data transmission. If the source node can create a new valid reliable path, then it transmits the data duplicates through the newly created path using the CLCT method. Moreover, extensive simulations demonstrate that the MEPFL-CLCT-RP significantly reduces routing overhead and delay compared to traditional RPs in FANETs.

Index Terms

FANET

Routing Protocol

EPFL-CLCT

Multipath Routing

Multi-Cast

Link Failure

Link Survival Probability

Reference

  1. 1.
    K. Telli, O. Kraa, Y. Himeur, A. Ouamane, M. Boumehraz, S. Atalla and W. Mansoor, “A comprehensive review of recent research trends on unmanned aerial vehicles (UAVs)”, Systems, Vol. 11, No. 8, pp. 400, 2023.
  2. 2.
    O. Adepoju, C. Aigbavboa, N. Nwulu, M. Onyia and O. Adepoju, “Drone/unmanned aerial vehicles (UAVs) technology”, Re-skilling Human Resources for Construction 4.0: Implications for Industry, Academia and Government, pp. 65-89, 2022.
  3. 3.
    A. I. Hentati and L. C. Fourati, “Comprehensive survey of UAVs communication networks”, Computer Standards & Interfaces, Vol. 72, pp. 103451, 2020.
  4. 4.
    G. Amponis, T. Lagkas, P. Sarigiannidis, V. Vitsas, P. Fouliras and S. Wan, “A survey on FANET routing from a cross-layer design perspective”, Journal of Systems Architecture, Vol. 120, pp. 102281, 2021.
  5. 5.
    R. Shahzadi, M. Ali, H. Z. Khan and M. Naeem, “UAV assisted 5G and beyond wireless networks: a survey”, Journal of Network and Computer Applications, Vol. 189, pp. 103114, 2021.
  6. 6.
    M. M. Alam, M. Y. Arafat, S. Moh, and J. Shen, “Topology control algorithms in multi-unmanned aerial vehicle networks: an extensive survey”, Journal of Network and Computer Applications, Vol. 207, pp. 103495, 2022.
  7. 7.
    A. H. Wheeb, R. Nordin, A. A. Samah, M. H. Alsharif and M. A. Khan, “Topology-based routing protocols and mobility models for flying ad hoc networks: a contemporary review and future research directions”, Drones, Vol. 6, No. 1, pp. 9, 2021.
  8. 8.
    X. Tan, Z. Zuo, S. Su, X. Guo, X. Sun and D. Jiang, “Performance analysis of routing protocols for UAV communication networks”, IEEE Access, Vol. 8, pp. 92212-92224, 2020.
  9. 9.
    S. W. Lee, S. Ali, M. S. Yousefpoor, E. Yousefpoor, P. Lalbakhsh, D. Javaheri and M. Hosseinzadeh, “An energy-aware and predictive fuzzy logic-based routing scheme in flying ad hoc networks (fanets)”, IEEE Access, Vol. 9, pp. 129977-130005, 2021.
  10. 10.
    H. Shaleena and K. Sumangala, “Energy-aware consistent link-based fuzzy routing protocol in FANET”, Journal of Data Acquisition and Processing, Vol. 38, No. 4, pp. 1142, 2023.
  11. 11.
    M. A. Abdel-Malek, N. Saputro, A. S. Ibrahim and K. Akkaya, “Uav-assisted multi-path parallel routing for mmwave-based wireless networks”, Internet of Things, Vol. 14, pp. 100366, 2021.
  12. 12.
    V. Bhardwaj and N. Kaur, “SEEDRP: a secure energy efficient dynamic routing protocol in fanets”, Wireless Personal Communications, Vol. 120, No. 2, pp. 1251-1277, 2021.
  13. 13.
    M. Namdev, S. Goyal and R. Agarwal, “An optimized communication scheme for energy efficient and secure flying ad-hoc network (FANET)”, Wireless Personal Communications, Vol. 120, No. 2, pp. 1291-1312, 2021.
  14. 14.
    H. S. Mansour, M. H. Mutar, I. A. Aziz, S. A. Mostafa, H. Mahdin, A. H. Abbas and M. A. Jubair, “Cross-layer and energy-aware AODV routing protocol for flying Ad-hoc networks”, Sustainability, Vol. 14, No. 15, pp. 8980, 2022.
  15. 15.
    S. Khan, M. Z. Khan, P. Khan, G. Mehmood, A. Khan and M. Fayaz, “An ant-hocnet routing protocol based on optimized fuzzy logic for swarm of UAVs in FANET”, Wireless Communications and Mobile Computing, pp. 1-12, 2022.
  16. 16.
    J. Guo, H. Gao, Z. Liu, F. Huang, J. Zhang, X. Li and J. Ma, “ICRA: an intelligent clustering routing approach for UAV ad hoc networks”, IEEE Transactions on Intelligent Transportation Systems, Vol. 24, No. 2, pp. 2447-2460, 2022.
  17. 17.
    X. Ma, Y. Wang and L. Zhang, “Multipath stability routing in cognitive UAV swarm for emergency communications: a hypergraph matching approach”, Wireless Communications and Mobile Computing, Vol. 1-11, 2022.
  18. 18.
    P. Ren, R. Zhang and S. Luo, “Multipath route optimization with multiple QoS constraints based on intuitionistic fuzzy set theory”, Wireless Communications and Mobile Computing, pp. 1-17, 2023.
  19. 19.
    J. Lansky, A. M. Rahmani, M. H. Malik, E. Yousefpoor, M. S. Yousefpoor, M. U. Khan and M. Hosseinzadeh, “An energy-aware routing method using firefly algorithm for flying ad hoc networks”, Scientific Reports, Vol. 13, No. 1, pp. 1323, 2023.
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