Cluster Computing

, Volume 22, Supplement 4, pp 9637–9649 | Cite as

Fuzzy hierarchical ant colony optimization routing for weighted cluster in MANET

  • J. Mani KandanEmail author
  • A. Sabari


Wireless mobile network likely will be a set of self-directed systems. In which they are not only based on the unfixed infrastructure-less wireless network. This paper gives a major scope for routing ad-hoc network using fuzzy hierarchical ant colony optimization routing by maintaining the sustainability of the cluster head inside a cluster is very difficult in the adhoc network. The selected cluster head among the nodes is based on the quality of service parameter of the nodes. The weight assigned to the cluster head will determine how long the cluster head will hold. The fuzzy hierarchical ant colony optimization routing is used to select the optimized cluster head by way of in a cluster and the optimal cluster head will increase the routing. Ant colony optimization, Fuzzy Rules for Cluster Head Selection Process and Cluster’s Gateway are the three processes involved in the proposed FHACO protocol. The parameters taken for our proposed algorithm are the buffer size, energy consumption, routing overhead, packet delivery ratio and end to end delay throughput of wireless system. The system is implemented in network simulator-2 and it is assessed to gather weighted clustering technique. The experimental analysis shows that fuzzy hierarchical ant colony optimization produces a better result in maintaining the persistence of the cluster head.


MANET Clustering Cluster head ACO Fuzzy logic 


  1. 1.
    Anupama, M., Sathyanarayana, B.: Survey of cluster based routing protocols in mobile Ad Hoc networks. Int. J. Comput. Theory Eng. 3(6), 806 (2011)Google Scholar
  2. 2.
    Long, N.T., Thuy, N.D., Hoang, P.H.: Research on applying hierachical clustered based routing technique using artificial intelligence algorithms for quality of service of service based routing. Internet Things Cloud Comput. 3(3), 14–21 (2015)Google Scholar
  3. 3.
    Haider, T., Yusuf, M.: A fuzzy approach to energy optimized routing for wireless sensor networks. Int. Arab J. Inf. Technol. 6(2), 179–185 (2009)Google Scholar
  4. 4.
    Adekiigbe, A., Bakar, K.A.: Using fuzzy logic to improve cluster based routing protocol in mesh client networks. Int. J. Innov. Comput. 3(2), 1–11 (2013)Google Scholar
  5. 5.
    Kaur, H., Sawhney, R.S.: Reducing Routing Overhead Using Ant Colony Optimization in Wireless Mobile Networks, pp. 620–624. Elsevier, Amsterdam (2015)Google Scholar
  6. 6.
    Gomathi, M., Viswanathan, R.: Fuzzy clustering based energy saving routing protocol for MANET. Aust. J. Basic Appl. Sci. 8(17), 204–209 (2014)Google Scholar
  7. 7.
    Li, D., Wang, H., Zhang, J.: Fuzzy clustering algorithm based on the time and surplus energy constrain for Ad Hoc network. J. Netw. 5(10), 1127–1134 (2010)Google Scholar
  8. 8.
    Sampath, A., Thampi, S.M.: An ACO algorithm for effective cluster head selection. J. Adv. Inf. Technol. 2(1), 50–56 (2011)Google Scholar
  9. 9.
    El-Hajj, W., Kountanis, D., Al-Fuqaha, A., Guizani, M.: A Fuzzy-based hierarchical energy efficient routing protocol for large scale mobile Ad Hoc networks (FEER). In: ICC Proceedings of Communications Society Subject Matter Experts for Publication in the IEEE, pp. 3585–3590 (2006)Google Scholar
  10. 10.
    Atri, S., Gill, N.S., Atri, J.: Comparison of cluster formation algorithms based on fuzzy logic rules. Int. J. Sci. Res. 3(6), 1831–1834 (2014)Google Scholar
  11. 11.
    Sood, K., Gupta, A.K.: A survey on load balanced clustering algorithms. Int. J. Innov. Technol. Explor Eng. (IJITEE) 2(5), 197–200 (2013)Google Scholar
  12. 12.
    Atril, S., Gill, N.S., Atri, J.: Fuzzy logic implementation of ant colony based cluster head selection algorithm. Int. J. Adv. Res. Comput. Commun. Eng. 3(4), 6256–6259 (2014)Google Scholar
  13. 13.
    Javaherian, M., Haghighat, A.T.: A routing algorithm based on fuzzy clustering and minimum cost tree (FCMCT) in wireless sensor network. J. Adv. Comput. Res. 5(3), 113–124 (2014)Google Scholar
  14. 14.
    Gomathi, M., Rajendran, G.: Fuzzy cost enabled cluster based multipath routing algorithm for mobile Ad Hoc networks. J. Comput. Sci. 8(9), 1434–1440 (2012)Google Scholar
  15. 15.
    Omari, M., Harma, A., Benaich, S.: Optimization of Energy Consumption Based on Genetic Algorithms Optimization and Fuzzy Classification. IEEE (2015)Google Scholar
  16. 16.
    Alim, Md.A., Wu, Y., Wang, W.: A fuzzy based clustering protocol for energy-efficient wireless sensor networks. In: Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering, Atlantis Press, Paris (2013)Google Scholar
  17. 17.
    Gad-El Rab, A.A.A., Alzohairy, T.A.A., Alsharkawy, A.S.: Cluster-based context-aware routing protocol for mobile environments. Int. J. Adv. Comput. Sci. Appl. 6(1), 1–10 (2015)Google Scholar
  18. 18.
    Deepanshi, Dhawan, S., Popli, R.: A review on clustering in MANETs. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 4(6), 57–61 (2014)Google Scholar
  19. 19.
    Mani kandan, J., Sabari, A., Revathi, S.: A comparative study on weighted clustering in mobile Ad Hoc networks. South Asian J. Eng. Technol. 2(19), 58–64 (2014)Google Scholar
  20. 20.
    Mani kandan, J., Sabari, A., Arul Murugan, T.: A weight based and energy aware multipath clustered routing in Ad Hoc network. Int. J. Appl. Eng. Res. 10(38), 28355–28359 (2015)Google Scholar
  21. 21.
    Mani Kandan, J., Sabari, A., Revathi, S.: Relative node mass weighted clustering techniques in Manet. Middle-East J. Sci. Res. 24 (Tech. Algorithms Emerg. Technol.) 24, 133–139 (2016)Google Scholar
  22. 22.
    Thangaraj, P., Geetha, K.: FGT2- ABR: fuzzy game theory trust associativity based routing to mitigate network attacks in pervasive health monitoring systems. J. Pure Appl. Microbiol. 9, 161–168 (2015)Google Scholar

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© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.Department of Information TechnologyK. S. Rangasamy College of TechnologyTiruchengodeIndia

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