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A Novel and Optimized Collaborative Diversity-Driven Routing Mechanism in MANETs

SN Computer Science volume 5, Article number: 22 (2024) Cite this article

Abstract

Wireless networks such as MANETs present unique challenges due to their dynamic and decentralized nature. Efficient routing protocols are essential for achieving reliable and robust communication in such networks. In this research, we propose a novel routing mechanism called collaborative diversity-driven routing (CollabNet) that integrates collaborative diversity to enhance the routing process in ad hoc networks. CollabNet utilizes a collaborative approach to address the challenges posed by dynamic network environments. CollabNet incorporates collaborative power control, adaptive power allocation, and energy-efficient routing to automatically adjust the dynamic power of nodes. By promoting collaborative behavior and optimizing power levels. It fosters collaborative behavior among nodes by establishing cooperation groups and leveraging multiple relay nodes. Through collaborative multipath diversity CollabNet facilitates the transmission of packets toward the destination via multiple paths within the transmission range. This approach increases the probability of successful packet delivery by establishing redundant connections. By promoting collaboration among nodes, CollabNet improves the reliability and connectivity of wireless ad hoc networks. The mechanism leverages the strength of collaborative diversity to enhance the overall performance of routing protocols. Extensive simulations demonstrate that CollabNet outperforms traditional routing protocols in terms of network connectivity, reliability, and efficiency. The proposed mechanism offers a promising solution for efficient routing in MANETs contributing to the advancement of wireless communication in dynamic ad hoc network environments.

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References

  1. Rosas E, Hidalgo N, Gil-Costa V, Bonacic C, Marin M, Senger H, Arantes L, Marcondes C, Marin O. Survey on simulation for mobile ad-hoc communication for disaster scenarios. J Comput Sci Technol. 2016;31(2):326–49.

    Article  Google Scholar 

  2. Safari F, Savić I, Kunze H, Gillis D. The diverse technology of MANETs: a survey of applications and challenges. Int J Future Comput Commun (IJFCC), 2023;12(2), 37–48. https://doi.org/10.18178/ijfcc.2023.12.2.601

  3. Chellathurai AS, Raj EGDP. A strategic review of routing protocols for mobile ad hoc networks. Int J Eng Trends Technol. 2014;10(8):390–5.

    Article  Google Scholar 

  4. Hefnawy MA, Darwish SM, Elmasry AA. Tuning the evaporation parameter in ACO MANET routing using a satisfaction-form game-theoretic approach. IEEE Access. 2022;10:98004–12. https://doi.org/10.1109/ACCESS.2022.3206383.

    Article  Google Scholar 

  5. Safari F, Kunze H, Ernst J, Gillis D. A novel cross-layer adaptive fuzzy-based ad hoc on-demand distance vector routing protocol for MANETs. IEEE Access. 2023;11:50805–22. https://doi.org/10.1109/ACCESS.2023.3277817.

    Article  Google Scholar 

  6. Jabbar WA, Ismail M, Nordin R, Arif S. Power-efficient routing schemes for MANETs: a survey and open issues. Wirel Netw. 2016;23(6):1917–52.

    Article  Google Scholar 

  7. Bari MA, Kalkal S, Ahmad S. A comparative study and performance analysis of routing algorithms for MANET. In: Computational intelligence in data mining advances in intelligent systems and computing. Singapore: Springer; 2017. p. 333–45.

    Google Scholar 

  8. Sadek BA, Badreddine EH, Houssaine TE, Barbosa KA, Rojas AJ. Consensus congestion control for ad hoc networks: time-delay and saturation. IEEE Trans Netw Sci Eng. 2023;10(4):1809–21. https://doi.org/10.1109/TNSE.2023.3235303.

    Article  MathSciNet  Google Scholar 

  9. Dusia A, Ramanathan R, Ramanathan W, Servaes C, Sethi AS. ECHO: efficient zero-control-packet broadcasting for mobile ad hoc networks. IEEE Trans Mob Comput. 2022;21(9):3163–75. https://doi.org/10.1109/TMC.2021.3055819.

    Article  Google Scholar 

  10. Chen X, Sun G, Wu T, Liu L, Yu H, Guizani M. RANCE: a randomly centralized and on-demand clustering protocol for mobile ad hoc networks. IEEE Internet Things J. 2022;9(23):23639–58. https://doi.org/10.1109/JIOT.2022.3188679.

    Article  Google Scholar 

  11. Malyadri N, Ramakrishna M. Hybrid optimization based power efficient route discovery model for mobile ad hoc networks. In: 2022 Second International Conference on artificial intelligence and smart energy (ICAIS). Coimbatore, India; 2022. p. 1374–1381. https://doi.org/10.1109/ICAIS53314.2022.9742998.

  12. GhafouriVaighan M, JabraeilJamali MA. ‘A multipath QoS multicast routing protocol based on link stability and route reliability in mobile Ad-hoc networks.’ J Ambient Intell Humanized Comput. 2019;10(1):107–23. https://doi.org/10.1007/s12652-017-0609-y.

    Article  Google Scholar 

  13. Naushad A, Abbas G, Abbas ZH, Pagourtzis A. ‘Novel strategies for path stability estimation under topology change using hello messaging in MANETs.’ Ad Hoc Netw. 2019;87:76–99.

    Article  Google Scholar 

  14. Hemalatha R, Umamaheswari R, Jothi S. An efficient stable node selection based on Garson’s pruned recurrent neural network and MSO model for multipath routing in MANET. Concurr Comput Pract Exper. 2022. https://doi.org/10.1002/cpe.7105.

    Article  Google Scholar 

  15. Hoang DNM, Rhee JM, Park SY. Fault-tolerant ad hoc on-demand routing protocol for mobile ad hoc networks. IEEE Access. 2022;10:111337–50. https://doi.org/10.1109/ACCESS.2022.3216066.

    Article  Google Scholar 

  16. Gangopadhyay S, Jain VK. A position-based modified OLSR routing protocol for flying ad hoc networks. IEEE Trans Veh Technol. 2023;12087–98. https://doi.org/10.1109/TVT.2023.3265704

  17. Chandravanshi K, Soni G, Mishra DK. Design and analysis of an energy-efficient load balancing and bandwidth aware adaptive multipath n-channel routing approach in MANET. IEEE Access. 2022;10:110003–25. https://doi.org/10.1109/ACCESS.2022.3213051.

    Article  Google Scholar 

  18. Cai Y, Zhang H, Fan Y, Xia H. A survey on routing algorithms for opportunistic mobile social networks. China Commun. 2021;18(2):86–109. https://doi.org/10.23919/JCC.2021.02.007.

    Article  Google Scholar 

  19. Hefnawy MA, Darwish SM. Game Theoretic Approach to Optimize Exploration Parameter in ACO MANET Routing. In: Hassanien AE, Slowik A, Snášel V, El-Deeb H, Tolba FM, editors. ProCeedings of the International ConFerence on advanced intelligent systems and informatics 2020. AISI 2020 advances in intelligent systems and computing, vol. 1261. Cham: Springer; 2021. https://doi.org/10.1007/978-3-030-58669-0_42.

    Chapter  Google Scholar 

  20. Conti M, et al. From MANET to people-centric networking: milestones and open research challenges. In: Computer communications, vol. 71. Elsevier BV; 2015. p. 1–21.

  21. Adu-Manu KS, Engmann F, Sarfo-Kantanka G, Baiden GE, Dulemordzi BA. WSN protocols and security challenges for environmental monitoring applications: a survey. J Sensors. 2022;2022:21. https://doi.org/10.1155/2022/1628537.

    Article  Google Scholar 

  22. Chen Z, Zhou W, Wu S, Cheng L. An adaptive on-demand multipath routing protocol with QoS support for high-speed MANET. IEEE Access. 2020;8:4476044773.

    Google Scholar 

  23. Supreeth S, Patil K, Patil SD, Rohith S. Comparative approach for VM Scheduling using modified particle swarm optimization and genetic algorithm in cloud computing. In: 2022 IEEE International Conference on Data Science and Information System (ICDSIS), Hassan, India; 2022. p. 1–6. https://doi.org/10.1109/ICDSIS55133.2022.9915907.

  24. Supreeth S, Patil K. Hybrid genetic algorithm and modified-particle swarm optimization algorithm (GA-MPSO) for predicting scheduling virtual machines in educational cloud platforms. Int J Emerg Technol Learn. 2022;17(07):208–25. https://doi.org/10.3991/ijet.v17i07.29223.

    Article  Google Scholar 

  25. Sobin CC. A Survey on Architecture, Protocols and challenges in IoT. Wirel Pers Commun. 2020;112(3):1383–429. https://doi.org/10.1007/s11277-020-07108-5.

    Article  Google Scholar 

  26. Arulprakash P, Kumar AS, Prakash SP. Optimal route and cluster head selection using energy efficient-modified African vulture and modified mayfly in manet”. Peer-to-Peer Netw Appl. 2023;16(2):1310–26. https://doi.org/10.1007/s12083-023-01461-5.

    Article  Google Scholar 

  27. Taha A, Alsaqour R, Uddin M, Abdelhaq M, Saba T. Energy efficient multipath routing protocol for mobile ad-hoc network using the fitness function. IEEE Access. 2017;5:10369–81.

    Article  Google Scholar 

  28. Sarhan S, Sarhan S. Elephant herding optimization ad hoc on-demand multipath distance vector routing protocol for MANET. IEEE Access. 2021;9:39489–99. https://doi.org/10.1109/ACCESS.2021.3065288.

    Article  Google Scholar 

  29. Bhardwaj A, El-Ocla H. Multipath routing protocol using genetic algorithm in mobile ad hoc networks. IEEE Access. 2020;8:177534–48. https://doi.org/10.1109/ACCESS.2020.3027043.

    Article  Google Scholar 

  30. Shah N, El-Ocla H, Shah P. Adaptive routing protocol in mobile ad-hoc networks using genetic algorithm. IEEE Access. 2022;10:132949–64. https://doi.org/10.1109/ACCESS.2022.3230991.

    Article  Google Scholar 

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Acknowledgements

Authors acknowledge the support from Vemana Institute of Technology and REVA University for the facilities provided to carry out the research.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Vemana Institute of Technology, VTU, Belagavi, India

    Neelam Malyadri

  2. School of Computer Science and Engineering, REVA University, Bengaluru, Karnataka, India

    Neelam Malyadri

  3. Department of Computer Science and Engineering, Vemana Institute of Technology, Bengaluru, Karnataka, India

    M. Ramakrishna

Authors
  1. Neelam Malyadri
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  2. M. Ramakrishna
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Contributions

NM was identified Initial problem identification, algorithm write-up, analysis, drafting of the manuscript, and simulation and responsible for the figures, final formatting and applied for the journal. MR was responsible for the Literature survey and helped in the initial review process and responsible for the Complexity analysis of the research, evaluation of the research work. All authors worked together to implement and evaluate the integrated system, and approved the final version of the paper.

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Correspondence to Neelam Malyadri.

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This article is part of the topical collection “Advances in Computational Approaches for Image Processing, Wireless Networks, Cloud Applications and Network Security” guest edited by P. Raviraj, Maode Ma and Roopashree H R.

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Malyadri, N., Ramakrishna, M. A Novel and Optimized Collaborative Diversity-Driven Routing Mechanism in MANETs. SN COMPUT. SCI. 5, 22 (2024). https://doi.org/10.1007/s42979-023-02317-8

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