International Journal of Computer Networks and Applications (IJCNA)

Published By EverScience Publications

ISSN : 2395-0455

International Journal of Computer Networks and Applications (IJCNA)

International Journal of Computer Networks and Applications (IJCNA)

Published By EverScience Publications

ISSN : 2395-0455

Efficient Multipath Zone-Based Routing in MANET Using (TID-ZMGR) Ticked-ID Based Zone Manager

Author NameAuthor Details

S. Venkatasubramanian, A. Suhasini, C. Vennila

S. Venkatasubramanian[1]

A. Suhasini[2]

C. Vennila[3]

[1]Department Computer Science and Engineering, Saranathan College of Engineering, Trichy, Tamil Nadu, India

[2]Department Computer Science and Engineering, Annamalai University, Tamil Nadu, India

[3]Department of Electronics and Communications Engineering, Saranathan College of Engineering, Trichy, Tamil Nadu , India

Abstract

Mobile ad hoc networks (MANETs) is an infrastructure-less network, which is self-organizing, self-configuring and dynamic. The traditional routing protocol is not efficient against the routing challenges. The traditional MANET routing mechanisms involve overhearing, retransmission, and idle listening, which consume high energy. The main obstacles for MANET are end-to-end delay, energy consumption, and packet collision problems. The enhancement of network lifetime and communication performance is still a challenging task. This paper proposes a Ticket-ID zone manager routing protocol (TID-ZMGR) with sleep scheduling for MANETS. The proposed system consists of a zone routing system that is effective in load balancing and energy-efficient. In the proposed approach, nodes in the network are grouped as zones with a zone leader (ZL). The ZL is the node with higher efficiency in terms of energy, link quality, connectivity, and distances. The TID-ZMGR follows a multipath mechanism for balancing the load, and traffic is controlled by distributing the path from source to destination. The implementation of an adaptive sleep duty cycling approach ensures error-free communication around the network. Additionally, the adaptive sleep duty cycling approach increases the overall accuracy by saving the power on border nodes. The efficiency of the proposed work is proved by the comparison work carried out between Ticket-ID Based Routing management system (TID-BRM) Zone-based Routing with Parallel Collision Guided Broadcasting Protocol (ZCG) and Distance aware Zone Routing Protocol (DZRP) with TID-ZMGR. Experimental work evaluation metrics are zonal leader changes, energy consumptions, and network lifetime. Simulation result shows proposed mechanism achieves minimum energy consumption with improved output on throughput and packet delivery ratio.

Index Terms

MANET

ZL

ZCG

DZRP

TID-ZMGR

Reference

  1. 1.
    Ravilla D, Putta CSR (2012) Energy Management in zone routing protocol (ZRP). In: Wyld D, Zizka J, Nagamalai D (eds) Advances in computer science, engineering & applications. Advances in intelligent systems and computing, vol 167. Springer, Berlin, Heidelberg, pp 355–366
  2. 2.
    Sateesh Kumar P, Ramachandram S (2009) Load balancing in genetic zone routing protocol for MANETs. World Acad Sci Eng Technol 35:517–522
  3. 3.
    Nair AL, Perumal Sankar S (2016) Sleep scheduling technique for geographic routing in MANET. Int J Adv Res Electric Electron Instrum Eng 5(2):674–680
  4. 4.
    Beijar N (2008) Zone routing protocol (ZRP). Networking Laboratory, Helsinki University of Technology, Espoo
  5. 5.
    Aastha Mishra,Shweta Singh,Arun Kumar Tripathi, (2019). Comparison of MANET routing protocols, A Monthly Journal of Computer Science and Information Technology (IJCSMC), Vol. 8, Issue. 2, ISSN 2320–088X, pg.67 – 74
  6. 6.
    K.Spurthi, T.N.shankar, An Efficient Cluster Computing Mechanism for Wormhole Attack Detection in MANET, International Journal of Advanced Science and Technology 29(7)(2020)
  7. 7.
    Hossain, S., Hussain, M. S., Ema, R. R., Dutta, S., Sarkar, S., & Islam, T. (2019). Detecting Blackhole attack by selecting appropriate routes for authentic message passing using SHA-3 and Diffie-Hellman algorithm in AODV and AOMDV routing protocols in MANET. (2019),10th International Conference on Computing, Communication, and Networking Technologies(ICCCNT)
  8. 8.
    K.Spurthi, T.N.Shankar, A Research on Wormhole Attack in Mobile Adhoc Networks, International Journal Of Recent Technology and Engineering,8(14) (2019) 1125-1130.
  9. 9.
    Khan, M. F., Aadil, F., Maqsood, M., Bukhari, S. H. R., Hussain, M., & Nam, Y. (2019). Moth fame clustering algorithm for internet of vehicle (MFCA-IoV)
  10. 10.
    W.-H. Liao, J.-P. Sheu, and Y.-C. Tseng, “GRID: a fully location-aware routing protocol for mobile ad hoc networks,” Telecommunication Systems, vol. 18, no. 1–3, pp. 37–60, 2001.
  11. 11.
    Ray NK, Turuk AK (2016) A hybrid energy-efficient protocol for mobile ad hoc networks. J Comput Netw Commun 2016:1–11
  12. 12.
    Shadi Basurra, Marina De Vos and Julian A. Padget , "Energy Efficient Zone-based Routing Protocol for MANETs", https://www.researchgate.net/, 2014, DOI:10.1016/j.adhoc.2014.09.010
  13. 13.
    Sudarsan D (2014) Modified distance aware zone routing protocol for less delay transmission in MANET. Int J Res Eng Adv Technol 2(5):1–6
  14. 14.
    Bhattacharya I, Bhattacharyya D, Barman S (2013) ZMEED: a zone based enhanced hybrid routing protocol for delay tolerant network. Int J Comput Appl 2013(2):7–11
  15. 15.
    Shakya M, Markam K (2016) Comparison of AODV and DSR routing protocols by using group mobility model with varying pause time in vehicular ad-hoc network. International Journal of Hybrid Information Technology Vol.9, No.2 (2016), pp. 177-182 http://dx.doi.org/10.14257/ijhit.2016.9.2.15
  16. 16.
    Ullah F, Ullah Z, Ahmad S, Islam IUI, Rehman SU, Iqbal J (2019) Traffic priority-based delay-aware and energy-efficient path allocation routing protocol for wireless body area network. J Ambient Intell Humaniz Comput 10:3775–3794
  17. 17.
    M. B. Talawar and D. Ashoka, “Link failure detection in MANET: A survey,” in Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough Studies in Computational Intelligence, vol. 885. Cham: Springer, pp. 169–182, 2020.
  18. 18.
    S. Mirjalili, “Genetic algorithm,” in Evolutionary Algorithms and Neural Networks. Studies in Computational Intelligence, vol. 780. Cham: Springer, pp. 43–55, 2019.
  19. 19.
    D. Kukreja, D. K. Sharma, S. K. Dhurandher and B. R. Reddy, "GASER: Genetic algorithm-based secure and energy-aware routing protocol for sparse mobile ad hoc networks," International Journal of Advanced Intelligence Paradigms, vol. 13, no. 1–2, pp. 230–259, 2019.
  20. 20.
    D. G. Zhang, S. Liu, X. H. Liu, T. Zhang and Y. Y. Cui, “Novel dynamic source routing protocol (DSR) based on genetic algorithm-bacterial foraging optimization (GA-BFO),” International Journal of Communication Systems, vol. 31, no. 18, pp. e3824, 2018
  21. 21.
    Venkatasubramanian, S., Suhasini, A. & Vennila, C. An Efficient Route Optimization Using Ticket-ID Based Routing Management System (T-ID BRM). Wireless Pers Commun (2021). https://doi.org/10.1007/s11277-021-08731-6.
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