Improved DYMO-Based ACO for MANET Using Distance and Density of Nodes

  • Sumit Kumar
  • Madan Lal Saini
  • Sandeep KumarEmail author
Conference paper


A mobile ad hoc network (MANET) is an accumulation of moving node, in which node conveys without the utilization of any settled foundation or any brought together space. In such case, a versatile host can act both as a host and as a switch for sending information parcels to other portable nodes in the system. As there is no settled foundation in this way, MANETs are thought to be vulnerable. Huge overheads are required to keep up the courses consistently. Receptive conventions send control parcels just amid the correspondence. Dynamic mobile ad hoc network on-demand (DYMO) proposed for routing in MANET by using moving nodes is a reactive protocol. It can effectively adjust to the changing topology of system and can discover courses between end nodes. This paper proposes a new framework which upgrades the DYMO protocol by including ant colony optimization (ACO). The upgraded form of the convention is contrasted and alternate conventions of its classification on the premise of different execution parameters. Result analysis shows that proposed protocol performs superior to the different existing protocols like AODV, TORA, DYMO, M-DYMO, and ACO.




  1. 1.
    Singh, A., Dhaka, V.K., Singh, G.: Ant colony optimization a prologue. In: National Conference on Current Research Trends in Cloud Computing and Big Data, JNU, Jaipur, 6–7 February 2015Google Scholar
  2. 2.
    Gupta, A.K., Sadawarti, H., Verma, A.K.: MANET routing protocols based on ant colony optimization. Int. J. Model. Optim. 2(1), 42–49 (2012)CrossRefGoogle Scholar
  3. 3.
    Dadheech, P., Goyal, D., Srivastava, S., Kumar, A.: A scalable data processing using Hadoop & MapReduce for big data. J. Adv. Res. Dyn. Control. Syst. 10(02-Special Issue), 2099–2109 (2018). ISSN: 1943-023XGoogle Scholar
  4. 4.
    Kaur, A., Dhaka, V.S., Singh, G.: ACO Agent Based Routing in AOMDV Environment. In: International Conference on Advancements in Engineering and Technology-2016 (ICAET-2016) and MATEC Web of Conferences, vol. 57 (2016)CrossRefGoogle Scholar
  5. 5.
    Gupta, A.K., Kaur, J., Kaur, S.: Comparison of DYMO, AODV, DSR and DSDV MANET Routing protocols over varying traffic. IJREAS 1(2) (2011)Google Scholar
  6. 6.
    Gupta, A.K., Sadawarti, H., Verma, A.K.: Performance analysis of AODV, DSR and TORA routing protocols. IACSIT Int. J. Eng. Technol. 2, 226–231 (2010)Google Scholar
  7. 7.
    Jain, T., Shiwani, S.: Analysis of OLSR, DSR, DYMO routing protocols in mobile ad-hoc networks using omnet++ simulation. Glob. J. Comput. Sci. Technol.: E Netw. Web Secur. 14(1) (2014). Version 1.0Google Scholar
  8. 8.
    Belding-Royer, E., Chakeres, I., Johnson, D., Perkins, C.: DYMO dynamic MANET on-demand routing protocol. In: Bunch, R. (ed.) Proceedings of the Sixty-First Internet Engineering Task Force (2004)Google Scholar
  9. 9.
    Chakeres, Perkins, C.: Dynamic MANET Ondemand (DYMO) Routing draft-ietf-manetdymo-17. Internet Engineering Task Force. (2009)
  10. 10.
    Martins, J.A.P., Correia, S.L.O., Celestino, J.: Ant-DYMO: a bio-inspired algorithm for MANETs. In: 2010 IEEE 17th International Conference on Telecommunications (ICT), pp. 748–754. IEEE (2010)Google Scholar
  11. 11.
    Sharma, S., Singh, M., Singh, G.: Realistic inspection of proposed ant algorithm with antnet algorithm using NS-2. Int. J. Res. IT Manag. Eng. 2(6), 146–156 (2012)Google Scholar
  12. 12.
    Asokan, R., Natarajan, A.M., Venkatesh, C.: Ant based dynamic source routing protocol to support multiple quality of service (QoS) metrics in mobile ad hoc networks. Int. J. Comput. Sci. Secur. 2(3), 48–56 (2008)Google Scholar
  13. 13.
    Sofat, S.S., Gupta, A.K.: Ant colony based dynamic source routing. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 3(10), 721–728 (2013)Google Scholar
  14. 14.
    Kumar, A., Goyal, D., Dadheech, P.: A novel framework for performance optimization of routing protocol in VANET network. J. Adv. Res. Dyn. Control. Syst. 10(02-Special Issue), 2110–2121 (2018). ISSN: 1943-023XGoogle Scholar
  15. 15.
    Dadheech, P., Goyal, D., Srivastava, S., Choudhary, C.M.: An Efficient approach for big data processing using spatial Boolean queries. J. Stat. Manag. Syst. (JSMS) 21(4), 583–591 (2018)CrossRefGoogle Scholar
  16. 16.
    Kumar, A., Sinha, M.: Overview on vehicular ad hoc network and its security issues. In: International Conference on Computing for Sustainable Global Development (INDIACom), pp. 792–797 (2014).
  17. 17.
    Dadheech, P., Kumar, A., Choudhary, C., Beniwal, M.K., Dogiwal, S.R., Agarwal, B.: An enhanced 4-way technique using cookies for robust authentication process in wireless network. J. Stat. Manag. Syst. 22(4), 773–782 (2019). Scholar
  18. 18.
    Kumar, A., Dadheech, P., Singh, V., Raja, L., Poonia, R.C.: An enhanced quantum key distribution protocol for security authentication. J. Discret. Math. Sci. Cryptogr. 22(4), 499–507 (2019). Scholar
  19. 19.
    Kumar, A., Dadheech, P., Singh, V., Poonia, R.C., Raja, L.: An improved quantum key distribution protocol for verification. J. Discret. Math. Sci. Cryptogr. 22(4), 491–498 (2019). Scholar
  20. 20.
    Kumar, A., Sinha, M.: Design and analysis of an improved AODV protocol for black hole and flooding attack in vehicular ad-hoc network (VANET). J. Discret. Math. Sci. Cryptogr. 22(4), 453–463. Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Poornima Group of InstitutionsJaipurIndia
  2. 2.Poornima UniversityJaipurIndia
  3. 3.Amity University RajasthanJaipurIndia

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