International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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A Novel Method for Avoiding Congestion in a Mobile Ad Hoc Network for Maintaining Service Quality in a Network

  • Alattas, Khalid A. (Department of Computer Science and Artificial Intelligence, College of Computer Science and Engineering, University of Jeddah)
  • Received : 2021.09.05
  • Published : 2021.09.30
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Abstract

Under the mobile ad-hoc network system, the main reason for causing congestion is because of the limited availability of resources. On the other hand, the standardised TCP based congestion controlling mechanism is unable to control and handle the major properties associated with the shared system of wireless channels. It creates an effect on the design associated with suitable protocols along with protocol stacks through the process of determining the mechanisms of congestion on a complete basis. Moreover, when bringing a comparison with standard TCP systems the major environment associated with mobile ad hoc network is regraded to be more problematic on a complete basis. On the other hand, an agent-based mobile technique for congestion is designed and developed for the part of avoiding any mode of congestion under the ad-hoc network systems.

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References

  1. Agrawal, R., Sharma, P. and Malviya, V., 2017. A novel method for queue management using the RED technique in a mobile ad hoc network. In 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC) (pp. 175-180). IEEE.
  2. Alameri, I.A., Onaizah, A.N. and Koondhar, I.A., 2020. Optimized image processing and clustering to mitigate security threats in mobile ad hoc network. Telkomnika, 18(1).
  3. Alnumay, W., Ghosh, U. and Chatterjee, P., 2019. A trust-based predictive model for mobile ad hoc network in Internet of Things. Sensors, 19(6), p.1467. https://doi.org/10.3390/s19061467
  4. Aouiz, A.A., Hacene, S.B. and Lorenz, P., 2019. Channel busyness based multipath load balancing routing protocol for ad hoc networks. IEEE Network, 33(5), pp.118-125. https://doi.org/10.1109/mnet.2019.1900036
  5. Fan, X., Cai, W. and Lin, J., 2017. A survey of routing protocols for highly dynamic mobile ad hoc networks. In 2017 IEEE 17th International Conference on Communication Technology (ICCT) (pp. 1412-1417). IEEE.
  6. Hamdi, M.M., Audah, L., Rashid, S.A., Mohammed, A.H., Alani, S. and Mustafa, A.S., 2020. A review of applications, characteristics and challenges in vehicular ad hoc networks (VANETs). In 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) (pp. 1-7). IEEE.
  7. Kannan, K. and Devaraju, M., 2017. Congestion Avoidance in Mobile Ad-Hoc Network Through Decision Matrix Analysis Based Priority Routing for Quality of Services. Journal of Computational and Theoretical Nanoscience, 14(11), pp.5413-5417. https://doi.org/10.1166/jctn.2017.6963
  8. Kokkonis, G., Gounopoulos, E., Tsiamitros, D., Stimoniaris, D. and Fragulis, G.F., 2020. Designing interconnected haptic interfaces and actuators for teleoperations in mobile ad hoc networks. International Journal of Entertainment Technology and Management, 1(1), pp.43-63. https://doi.org/10.1504/IJENTTM.2020.105662
  9. Kumar, A., Varadarajan, V., Kumar, A., Dadheech, P., Choudhary, S.S., Kumar, V.A., Panigrahi, B.K. and Veluvolu, K.C., 2020. Black hole attack detection in vehicular ad-hoc network using secure AODV routing algorithm. Microprocessors and Microsystems, p.103352.
  10. Kushwah, R., Tapaswi, S. and Kumar, A., 2019. A detailed study on Internet connectivity schemes for mobile ad hoc network. Wireless Personal Communications, 104(4), pp.1433-1471. https://doi.org/10.1007/s11277-018-6093-7
  11. Lee, K.E., Park, J.G. and Yoo, S.J., 2021. Intelligent Cognitive Radio Ad-Hoc Network: Planning, Learning and Dynamic Configuration. Electronics, 10(3), p.254. https://doi.org/10.3390/electronics10030254
  12. Majeed, J.H., Habeeb, N.A. and Al-Azzawi, W.K., 2021. Performance investigations of internet protocol versions for mobile Ad-hoc network based on qualnet simulator. Indonesian Journal of Electrical Engineering and Computer Science, 21(1), pp.497-504. https://doi.org/10.11591/ijeecs.v21.i1.pp497-504
  13. Mikaric, B., Rancic, D. and Ilic, S., 2020. Routing protocols in Mobile Ad-hoc Networks. Przeglad Elektrotechniczny, 96.
  14. Moqimi, E., Najafi, A. and Ajami, M., 2020. An Enhanced Dynamic Source Routing Algorithm for the Mobile Ad-Hoc Network using Reinforcement learning under the COVID-19 Conditions.
  15. Mukherjee, A., Keshary, V., Pandya, K., Dey, N. and Satapathy, S.C., 2018. Flying ad hoc networks: A comprehensive survey. Information and decision sciences, pp.569-580.
  16. Muralidhar K, Madhavi K. Setting Up Ad Hoc Computing as a Service in Mobile Ad Hoc Cloud Computing Environment. International Journal of Interdisciplinary Telecommunications and Networking (IJITN). 2021;13(1):1-2. https://doi.org/10.4018/IJITN.2021010101
  17. Qiu, T., Chen, N., Li, K., Qiao, D. and Fu, Z., 2017. Heterogeneous ad hoc networks: Architectures, advances and challenges. Ad Hoc Networks, 55, pp.143-152. https://doi.org/10.1016/j.adhoc.2016.11.001
  18. Rasheed, A., Gillani, S., Ajmal, S. and Qayyum, A., 2017. Vehicular ad hoc network (VANET): A survey, challenges, and applications. In Vehicular Ad-Hoc Networks for Smart Cities (pp. 39-51). Springer, Singapore.
  19. Rath, M., Pattanayak, B.K. and Pati, B., 2017. Energetic routing protocol design for real-time transmission in mobile ad hoc network. In Computing and Network Sustainability (pp. 187-199). Springer, Singapore.
  20. Rath, M., Rout, U.P., Pujari, N., Nanda, S.K. and Panda, S.P., 2017. Congestion control mechanism for real time traffic in mobile adhoc networks. In Computer communication, networking and internet security (pp. 149-156). Springer, Singapore.
  21. Regin, R. and Menakadevi, T., 2019. Dynamic clustering mechanism to avoid congestion control in vehicular ad hoc networks based on node density. Wireless Personal Communications, 107(4), pp.1911-1931. https://doi.org/10.1007/s11277-019-06366-2
  22. Regin, R. and Menakadevi, T., 2020. A novel clustering technique to stop congestion occur vehicular ad-hoc networks using node density based on received signal strength. Peer-to-Peer Networking and Applications, pp.1-11.
  23. Sahnoun, A., Habbani, A. and El Abbadi, J., 2017. EEPR-OLSR: an energy efficient and path reliability protocol for proactive mobile Ad-hoc network routing. International Journal of Communication Networks and Information Security, 9(1), p.22.
  24. Sarkar, D., Choudhury, S. and Majumder, A., 2018. Enhanced-Ant-AODV for optimal route selection in mobile ad-hoc network. Journal of King Saud University-Computer and Information Sciences.
  25. Shafigh, A.S., Veiga, B.L. and Glisic, S., 2018. Cross layer scheme for quality of service aware multicast routing in mobile ad hoc networks. Wireless Networks, 24(1), pp.329-343. https://doi.org/10.1007/s11276-016-1349-1
  26. Shantaf, A.M., Kurnaz, S. and Mohammed, A.H., 2020. Performance Evaluation of Three Mobile Ad-hoc Network Routing Protocols in Different Environments. In 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) (pp. 1-6). IEEE.
  27. Sharma, V.K. and Kumar, M., 2017. Adaptive congestion control scheme in mobile ad-hoc networks. Peer-to-Peer Networking and Applications, 10(3), pp.633-657. https://doi.org/10.1007/s12083-016-0507-7
  28. Srivastava, A., Gupta, S.K., Najim, M., Sahu, N., Aggarwal, G. and Mazumdar, B.D., 2021. DSSAM: digitally signed secure acknowledgement method for mobile ad hoc network. EURASIP Journal on Wireless Communications and Networking, 2021(1), pp.1-29. https://doi.org/10.1186/s13638-020-01861-8
  29. Sundar, R. and Kathirvel, A., 2020. Aggressively delivered mechanism over variable-length density using a simulated annealing algorithm in mobile ad hoc network. Transactions on Emerging Telecommunications Technologies, 31(12), p.e3863.
  30. Thiagarajan, R., Babu, M.R. and Moorthi, M., 2020. Quality of Service based Ad hoc On-demand Multipath Distance Vector Routing protocol in mobile ad hoc network. Journal of Ambient Intelligence and Humanized Computing, pp.1-9.
  31. Veeresh, P., Sam, R.P. and Bin, C.S., 2019. Reliable fault tolerance system for service composition in mobile Ad Hoc network. International Journal of Electrical & Computer Engineering (2088-8708), 9(4).
  32. Zhang, D.G., Cui, Y.Y. and Zhang, T., 2019. New quantum-genetic based OLSR protocol (QG-OLSR) for Mobile Ad hoc Network. Applied Soft Computing, 80, pp.285-296. https://doi.org/10.1016/j.asoc.2019.03.053