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International Journal of Information Technology

, Volume 11, Issue 4, pp 727–733 | Cite as

Expected residual lifetime based ad hoc on-demand multipath routing protocol (ERL-AOMDV) in mobile ad hoc networks

  • Anuradha BanerjeeEmail author
  • Shirshadipta Chowdhury
Original Research
  • 30 Downloads

Abstract

Nodes in ad hoc networks have limited battery power. So, it is crucial to save energy in this kind of networks. Among various multipath protocols, Ad hoc On-demand Multipath Distance Vector (AOMDV) routing algorithm is a standard one. Among the recent advancements to AOMDV, MMRE-AOMDV (Minimal Maximal Nodal Residual Energy—AOMDV) is state-of-the-art from the perspective of energy efficiency. In this article, we propose ERL-AOMDV which investigates deeper than residual energy of nodes. What it emphasizes is that expected residual lifetime of nodes and approximate completion time of a communication session are important to elect optimum routes. First three optimum routes are used for transferring data packets. Simulations results show that ERL-AOMDV performs significantly better than ordinary AOMDV and MMRE-AOMDV.

Keywords

Ad hoc networks AOMDV Energy efficiency Expected residual lifetime Multipath 

References

  1. 1.
    Marina M, Das s (2001) On-demand multipath distance vector routing in ad hoc networks. In: Proceedings of the International Conference for Network Procotols (ICNP), Riverside.Google Scholar
  2. 2.
    Ventakesh D, Subramanyam A (2017) Survey on routing protocols for MANETs based on mobility. Int J Innov Comp Sci Eng 4(3):93–96Google Scholar
  3. 3.
    Liu Y, Guo L, Ma H, Jiang T (2008) Energy efficient on demand multipath routing protocol for multihop ad hoc networks, ISSSTA 08. In: IEEE 10th International symposium on Spread spectrum and applications. Bologna, Italy. pp 592–597Google Scholar
  4. 4.
    Liu M, et al. (2006) Collision-constrained minimum energy node-disjoint multipath routing in ad hoc network, In: Proceedings of the Wireless Communications, Networking and Mobile ComputingGoogle Scholar
  5. 5.
    Bergamo P et al (2004) Distributed power control for energy efficient routing in ad hoc networks. Wireless Netw 10(1):29–42CrossRefGoogle Scholar
  6. 6.
    Murshedi TA, Wang X, Cheng H (2013) On-demand multipath routing protocols for mobile ad-hoc networks: a comparative survey. Int J Futur Comp Commun 5(3):140–148Google Scholar
  7. 7.
    Omar S, El Ghandour O, Abd El-Haleem AM (2017) Multipath activity based routing protocol for mobile cognitive radio ad hoc networks. Wireless Commun Mob Comput 2017:5380525CrossRefGoogle Scholar
  8. 8.
    Chaudhury A, Tiwari VN, Kumar A (2014) Analysis of fuzzy logic based intrusion detection system in mobile ad hoc networks. BVICAM Int J Inform Technol 6(1):690–696Google Scholar
  9. 9.
    Hasti A (2012) Study of impact of mobile ad – hoc networking and its future applications. BVICAM’s Int J Inf Technol 4:439–444Google Scholar
  10. 10.
    Santhi G, Nachiappan A (2010) A survey of QoS routing protocols for mobile ad hoc networks. Int J Comp Sci Inf Technol 2(4):125–136Google Scholar
  11. 11.
    Sesay S, Yang Z, He J (2004) A survey on mobile ad hoc wireless networks. Inf Technol J 3(2):168–175CrossRefGoogle Scholar
  12. 12.
    JayaSingh BB, Swathi B (2010) A novel metric for detection of jellyfish reorder attack on ad hoc networks. BVICAM’s Int J Inf Technol 2(1):15–20Google Scholar
  13. 13.
    Balan V et al (2015) Fuzzy based intrusion detection system in manet. Procedia Comp Sci 50:109–114CrossRefGoogle Scholar
  14. 14.
    Dahiya P, Chaudhury A (2014) FIDSM: Fuzzy based intrusion detection system in mobile ad hoc networks. National Conference on Recent Advances in Wireless Communication and Artificial IntelligenceGoogle Scholar
  15. 15.
    Ashwani K, Hwang C (2011) Hash security for ad hoc routing. BVICAM’s Int J Inf Technol 3:271–275Google Scholar
  16. 16.
    Srivastava N, Srivastava S (2017) A survey on ad hoc on demand multipath distance vector routing protocols. Int J Ad Res Comp Commun Eng 6(7):969Google Scholar
  17. 17.
    Arora B, Nipur (2014) Stable ad hoc on-demand multipath distance vector—SAOMDV. BVICAM’s Int J Inf Technol 6:779–782Google Scholar

Copyright information

© Bharati Vidyapeeth's Institute of Computer Applications and Management 2018

Authors and Affiliations

  1. 1.Department of Computer ApplicationsKalyani Government Engineering CollegeKalyaniIndia

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