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An Efficient Route Optimization Using Ticket-ID Based Routing Management System (T-ID BRM)

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Abstract

MANET—Mobile Ad Hoc Network is the connection of several remote mobile nodes. These networks are dynamic and independent to move anywhere. It does not contain any central controller, and hence it is stated as a structure-less network. MANET is one of the most emerging technologies getting popular in recent days. The significant features, and real-time issues grab the research community's attention towards it. The unstable data transmission will leverage the overall network performance, and designing an energy-efficient routing protocol is challenging. The main reason for this problem is the lack of a stable multipath routing system and resource constraints. Various research works have launched several efficient routing mechanisms, but the need for advancement still exists. In this paper, we propose a Ticket-ID Based Routing management system for enabling reliable routing for the entire network. The proposed system work under the TID principle, which executes according to the node properties and routing maintenance system. This system works under the supervision article of TID- Routing manager. The TID routing manager is responsible for managing the ticketing pool and allocating unique ticket-ID based on the collected node factors such as energy, node location, speed, etc. The proposed routing system facilitates the shortest path for reliable communication. An experimental work using NS- simulator is done with the proposed method. The proposed work's efficiency is determined using a comparison work between T-ID BRM with TABRP, OGFSO, and PDMR. The proposed TID-BRM achieves with 20 nodes PDR is 25%, 40 nodes the PDR is 45%, on 60 nodes the PDR is 65%, on 80 nodes the PDR is 78%, and with 100 nodes the PDR is about 95%. On comparison, the proposed overall packet delivery ratio is 61.8%, whereas with PDMR is 21.8%, OGFSO with 25.8%, and TABRP is 38.2%. The observation states that the proposed Ticket-ID system achieves 94% better than other existing methods.

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Reference:s

  1. Karimi, A., Afsharfarnia, A., Zarafshan, F., & Al-Haddad, S. A. R. (2014). A novel clustering algorithm for mobile ad hoc networks based on determination of virtual links’ weight to increase network stability. The Scientific World Journal, 2014, 1–12.

    Google Scholar 

  2. Perkins, C. E., & Bhagwat, P. (1994). Highly dynamic destination-sequenced distance-vector routing (DSDV) for mobile computers. SIGCOMM Computer Communication Review, 24(4), 234–244.

    Article  Google Scholar 

  3. Johnson, D. B., Maltz, D. A., Broch, J., et al. (2001). DSR: The dynamic source routing protocol for multihop wireless ad hoc networks. Ad Hoc Networks, 5, 139–172.

    Google Scholar 

  4. Ko, Y.-B., & Vaidya, N. H. (2000). Location-aided routing (LAR) in mobile ad hoc networks. Wireless Networks, 6(4), 307–321.

    Article  MATH  Google Scholar 

  5. Perkins, C., Belding-Royer, E., & Das, S. (2003). Ad hoc on-demand distance vector (AODV) routing. In Technical report.

  6. Bhattacharya, A., & Sinha, K. (2017). An efficient protocol for loadbalanced multipath routing in mobile ad hoc networks. Ad Hoc Networks, 63, 104–114.

    Article  Google Scholar 

  7. Naseem, M., & Kumar, C. (2017). Queue-based multiple path load balancing routing protocol for MANETs. International Journal of Communication Systems, 30(6), e3141.

    Article  Google Scholar 

  8. Ganjali, Y., & Keshavarzian, A. (2004). Load balancing in ad hoc networks: Single-path routing vs. multipath routing. In INFOCOM 2004. Twenty-third annual joint conference of the IEEE computer and communications societies (vol. 2, pp. 1120–1125). IEEE, New York.

  9. Chou, S.-T., Chern, H.-T., Shiao, C.-M., & Lee, Z.-J. (2013). Cross-layer design of AODV protocol for multihop flow in ad hoc network. Ad-Hoc and SensorWireless Networks, 17(3–4), 233–252.

    Google Scholar 

  10. Sultanuddin, S. J., & Ali Hussain, M. (2019). Token system-based efficient route optimization in mobile ad hoc network for vehicular ad hoc network in smart city. http://wileyonlinelibrary.com/journal/ett. https://doi.org/10.1002/ett.3853.

  11. Rajashanthi1, M., & Valarmathi, K. (2020). Energy-efficient multipath routing in networking aid of clustering with OGFSO algorithm. Springer-Verlag GmbH Germany, part of Springer Nature 2020. https://doi.org/10.1007/s00500-020-04710-4.

  12. Premanand, R. P., & Rajaram, A. (2019). Enhanced data accuracy based PATH discovery using backing route selection algorithm in MANET. Springer. https://doi.org/10.1007/s12083-019-00824-1.

  13. Pal, A., Dutta, P., Chakrabarti, A., & Singh, J. P. (2020). An efficient load balanced stable multipath routing for mobile ad-hoc network. Springer. https://doi.org/10.1007/s00542-019-04723-6

  14. Shanthy, R., & Padma, T. (2019). A zone routing protocol incorporated with sleep scheduling for MANETs. Springer. https://doi.org/10.1007/s12652-020-01798-2

  15. Prasad, P. R., & Shankar, S. (2019). Efficient performance analysis of energy aware on demand routing protocol in mobile ad-hoc network. Engineering Reports. https://doi.org/10.1002/eng2.12116

    Article  Google Scholar 

  16. Anand, M., Sasikala, T., & Anbarasan, M. (2018). Energy efficient channel aware multipath routing protocol for mobile ad-hoc network. Wiley. https://doi.org/10.1002/cpe.4940.

  17. Olakanmi, O. O., Odeyemi, K. O., & Abbas, A. (2020). Mobility and energy prediction models: Approach toward effective route management in mobile wireless sensor networks. Engineering Reports. https://doi.org/10.1002/eng2.12095

    Article  Google Scholar 

  18. Sarkar, D., Choudhury, S., & Majumder, A. (2018). Enhanced-ant-AODV for optimal route selection in mobile ad-hoc network. Journal of King Saud University Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2018.08.013

  19. Guaya-Delgado, L., Pallarès-Segarra, E., Mezher, A.M., & Forné, J. (2019). A novel dynamic reputation-based source routing protocol for mobile ad hoc networks. EURASIP Journal on Wireless Communications and Networking, 2019, 77. https://doi.org/10.1186/s13638-019-1375-7.

  20. Pounambal, M. (2018). Agent based hybrid routing protocol for vehicular ad hoc networks. International Journal of Pure and Applied Mathematics, 120(6), 123–139.

    Google Scholar 

  21. Lakhlef, H., Bouabdallah, A., Raynal, M., & Bourgeois, J. (2018). Agent-based broadcast protocols for wireless heterogeneous node networks. Computer Communications, 115, 51–63.

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Authors and Affiliations

  1. Department of CSE, Saranathan College of Engineering, Trichy, India

    S. Venkatasubramanian

  2. Department of CSE, Annamalai University, Chidambaram, India

    A. Suhasini

  3. Department of ECE, Saranathan College of Engineering, Trichy, India

    C. Vennila

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  1. S. Venkatasubramanian
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  2. A. Suhasini
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  3. C. Vennila
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Correspondence to S. Venkatasubramanian.

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Venkatasubramanian, S., Suhasini, A. & Vennila, C. An Efficient Route Optimization Using Ticket-ID Based Routing Management System (T-ID BRM). Wireless Pers Commun 127, 1923–1942 (2022). https://doi.org/10.1007/s11277-021-08731-6

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  • DOI: https://doi.org/10.1007/s11277-021-08731-6

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