体育赛事投注记录

advertisement

FM—MANETs: A Novel Fuzzy Mobility on Multi-path Routing in Mobile Ad hoc Networks for Route Selection

  • T. SudhakarEmail author
  • H. Hannah Inbarani
Conference paper
  • 38 Downloads
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 127)

Abstract

mobile ad hoc networks (manets) are self-configured networks without any infrastructure-based network. the mobile nodes (mns) are continuously deployed in an infrastructure-based network, whereas infrastructure-less network mns are placed at random positions with mobility, i.e., movements of mns. the major problem of ad hoc networks is routing and mobility of a node between the source and destination of a node. due to the high movement in a wireless network, the mns are not able to establish the connection between source and destination nodes. the network performances measures such as bandwidth and delay which are often changed due to mns mobility, i.e., these network metrics include inconsistencies in a wireless ad hoc network. the uncertainties create a problem in the choice of the best route from the origin node to the recipient node unit. in this work, fuzzy mobility (fm) is used to resolve the issue of routing and mobility for better route selection in a wireless network. the performance results compared with the well-known existing wireless ad hoc routing protocols based on the packet delivery ratio (pdr), delay and throughput metrics. a fuzzy mobility-based selection gives better results when compared to other mobility models such as random way point (rwp) and random direction (rd).

Keywords

Ad hoc network Fuzzy Mobility Routing first section 

Notes

Acknowledgements

the first author would like to thank the ugc-rgnf-sc for the financial assistance to do this work. the grant number is f1-17.1/2014-15/rgnf-2014-15-sc-tam-84052 (sa-iii/website). also, the authors would like to thank the anonym’s reviewers for the improvement of the paper.

References

  1. 1.
    Abbas NI, Ilkan M, Ozen E (2015) Fuzzy approach to improving route stability of the AODV routing protocol. EURASIP J Wirel Commun Netw 235:1–11
  2. 2.
    Pouyan AA, Yadollahzadeh Tabari M (2017) FPN-SAODV: using fuzzy petri nets for securing AODV routing protocol in mobile Ad hoc network. Int J Commun Syst 30(1):1–14
  3. 3.
    Liu H, Li J, Zhang YQ, Pan Y (2015) An adaptive genetic fuzzy multi-path routing protocol for wireless ad-hoc networks. In: 6th international conference on software engineering, artificial intelligence, networking and parallel/distributed computing and first ACIS international workshop on self-assembling wireless network. IEEE, USA, pp 468–475
  4. 4.
    Alandjani G, Eric Johnson EE (2003) Fuzzy routing in ad hoc networks. In: Conference proceedings of the 2003 IEEE international performance, computing, and communications conference. IEEE, USA, pp 525–530
  5. 5.
    Naga Raju A, Rmachandram S (2008) Fuzzy cost based multi-path routing for mobile ad-hoc networks. J Theor Appl Inf Technol 4(4):55–66
  6. 6.
    Pi S, Sun B (2012) Fuzzy controllers based multi-path routing algorithm in MANET. Phys Proc 24:1178–1185
  7. 7.
    Huang C-J, Chuang Y-T, Hu K-W (2009) Using particle swam optimization for QoS in ad-hoc multicast. Eng Appl Artif Intell 22(8):1188–1193
  8. 8.
    Doja MN, Alam B, Sharma V (2013) Analysis of reactive routing protocol using fuzzy inference system. AASRI Proc 5:164–169
  9. 9.
    Gupta S, Bharti PK, Choudhary V (2011) Fuzzy logic based routing algorithm for mobile ad hoc networks. In: Mantri A, Nandi S, Kumar G, Kumar S (eds) High performance architecture and grid computing, vol 169. HPAGC 2011. Springer, Berlin, Heidelberg, pp 574–579
  10. 10.
    Thaw MM (2010) Fuzzy-based multi-constrained quality of service distance vector routing protocol in mobile ad-hoc networks. In: 2nd international conference on computer and automation engineering (ICCAE), vol 3. IEEE (2010), pp 429–433
  11. 11.
    Vinoth Kumar K, Jayasankar T, Prabhakaran M, Srinivasan V (2017) Fuzzy logic based efficient multi-path routing for mobile ad hoc networks. Appl Math Inf Sci 11(2):449–455
  12. 12.
    Yadav AK, Das SK, Tripathi S (2017) EFMMRP: design of efficient fuzzy based multi-constraint multicast routing protocol for wireless ad-hoc network. Comput Netw 118:15–23
  13. 13.
    Pouyan AA, Yadollahzadeh Tabari M (2017) FPN-SAODV: using fuzzy petri nets for securing AODV routing protocol in mobile ad hoc network. Int J Commun Syst 30(1):29–35
  14. 14.
    Alkhodre AB (2016) Hybrid fuzzy social mobility model. Karbala Int J Modern Sci 2(1):29–40
  15. 15.
    Seethalakshmi P, Gomathi M, Rajendran G (2011) Path selection in wireless mobile ad hoc network using fuzzy and rough set theory. In: 2nd international conference on wireless communication, vehicular technology, information theory and aerospace and electronic systems technology (Wireless VITAE). IEEE (2011), pp 5–8

Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021

Authors and Affiliations

  1. 1.Periyar UniversitySalemIndia

Personalised recommendations