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Wireless Communications and Mobile Computing
Volume 2017, Article ID 1903190, 12 pages
https://doi.org/10.1155/2017/1903190
Research Article

Mobility Aware Energy Efficient Clustering for MANET: A Bio-Inspired Approach with Particle Swarm Optimization

Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi 835215, India

Correspondence should be addressed to Naghma Khatoon; moc.liamg@tib.amhgan

Received 31 May 2017; Revised 8 September 2017; Accepted 27 September 2017; Published 8 November 2017

Academic Editor: Álvaro Marco

Copyright © 2017 Naghma Khatoon and Amritanjali. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. Kennedy and R. Eberhart, “Particle swarm optimization,” in Proceedings of the IEEE International Conference on Neural Networks, vol. 4, pp. 1942–1948, Perth, Australia, December 1995. View at Scopus
  2. Y. del Valle, G. K. Venayagamoorthy, S. Mohagheghi, J.-C. Hernandez, and R. G. Harley, “Particle swarm optimization: basic concepts, variants and applications in power systems,” IEEE Transactions on Evolutionary Computation, vol. 12, no. 2, pp. 171–195, 2008. View at Publisher · View at Google Scholar · View at Scopus
  3. U. Shuchita and G. Charu, “Node disjoint multipath routing considering link and node stability protocol: a characteristic evaluation,” International Journal of Computer Science Issues, vol. 7, no. 1, article 2, pp. 18–25, 2010. View at Google Scholar
  4. N. Raza, M. U. Aftab, M. Q. Akbar, O. Ashraf, and M. Irfan, “Mobile ad-hoc networks applications and its challenges,” Communications and Network, vol. 8, no. 3, pp. 131–136, 2016. View at Publisher · View at Google Scholar
  5. D. M. Bokhari, H. S. A. Hamatta, and S. T. Siddigui, “A review of clustering algorithms as applied in MANETs,” International Journal of Advanced Research in Computer Science and Software Engineering Research, vol. 2, pp. 364–369, 2012. View at Google Scholar
  6. M. Chatterjee, S. K. Das, and D. Turgut, “On-demand weighted clustering algorithm (WCA) for ad hoc networks,” in Proceedings of the IEEE Global Telecommunication Conference (GLOBECOM '00), vol. 3, pp. 1697–1701, 2000. View at Scopus
  7. W. Choi and M. Woo, “A distributed weighted clustering algorithm for mobile ad hoc networks,” in Proceedings of the IEEE Advanced International Conference on Telecommunications and International Conference on Internet and Web Applications and Services (AICT/ICIW '06), pp. 1–6, February 2006. View at Scopus
  8. W. Bednarczyk and P. Gajewski, “An enhanced algorithm for MANET clustering based on weighted parameters,” Universal Journal of Communications and Network, vol. 1, no. 3, pp. 88–94, 2013. View at Google Scholar
  9. V. Sucasas, A. Radwan, H. Marques, J. Rodriguez, S. Vahid, and R. Tafazolli, “Ad hoc networks: a survey on clustering techniques for cooperative wireless networks,” Ad Hoc Networks, vol. 47, pp. 53–81, 2016. View at Google Scholar · View at Scopus
  10. M. Rath, B. K. Pattanayak, and B. Bibudhendu Pati, “QoS satisfaction in MANET based real time applications,” International Journal of Control Theory and Applications, International Science Press, vol. 7, pp. 3069–3083, 2016. View at Google Scholar · View at Scopus
  11. S. B. Rakas and V. Timcenko, “A survey on quality of service in MANET,” Infoteh-Jahorina, vol. 15, pp. 349–352, 2016. View at Google Scholar
  12. B. M. Nyambo, G. K. Janssens, and W. Lamotte, “Quality of service in mobile ad hoc networks carrying multimedia traffic,” International Journal on Information Technologies & Security, no. 2, pp. 41–68, 2014. View at Google Scholar
  13. D. Nguyen, P. Minet, T. Kunz, and L. Lamont, “On the selection of cluster heads in MANETs,” International Journal of Computer Science Issues, vol. 8, no. 2, pp. 1–12, 2011. View at Google Scholar
  14. Y. Li, F. Wang, F. Huang, and D. Yang, “A novel enhanced weighted clustering algorithm for mobile networks,” in Proceedings of the IEEE 5th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM '09), pp. 2801–2804, IEEE, Beijing, China, September 2009. View at Publisher · View at Google Scholar · View at Scopus
  15. A. Ziagham and M. NooriMehr, “MOSIC: mobility-aware single-hop clustering scheme for vehicular ad hoc networks on highways,” International Journal of Advanced Computer Science and Applications, vol. 7, no. 9, pp. 424–431, 2016. View at Publisher · View at Google Scholar
  16. S. Chandra, I. Saha, P. Mitra, B. Saha, and S. Roy, “A brief overview of clustering schemes applied on mobile ad-hoc networks,” International Journal of Advanced Research in Computer Science and Software Engineering, vol. 5, pp. 667–675, 2015. View at Google Scholar
  17. K. Hussain, A. H. Abdullah, S. Iqbal, K. M. Awan, and F. Ahsan, “Efficient cluster head selection algorithm for MANET,” Journal of Computer Networks and Communications, vol. 2013, Article ID 723913, 7 pages, 2013. View at Publisher · View at Google Scholar · View at Scopus
  18. M. Jiang, “Cluster based routing protocol (CBRP),” draft-ietf-manet-cbrp-spec-01.txt, 1999.
  19. S. Kaur, “Efficient clustering with proposed load balancing technique for MANET,” International Journal of Computer Applications, vol. 111, no. 13, pp. 21–26, 2015. View at Google Scholar
  20. G. Kaushik and S. Goyal, “A clustering based AODV approach for MANET,” in Proceedings of the International Conference on Emerging Trends in Engineering and Technology, pp. 901–904, 2013.
  21. C. Perkins, E. Belding-Royer, and S. Das, “Ad hoc on-demand distance vector (AODV) routing,” RFC 3561, IETF, 2003. View at Google Scholar
  22. C. Rajan, K. Geetha, C. Rasi Priya, and R. Sasikala, “Investigation on bio-inspired population based metaheuristic algorithms for optimization problems in ad hoc networks,” International Journal of Mathematical, Computational, Physical, Electrical and Computer Engineering, vol. 9, no. 3, 2015. View at Google Scholar
  23. C. P. Low, C. Fang, J. M. Ng, and Y. H. Ang, “Efficient load-balanced clustering algorithms for wireless sensor networks,” Computer Communications, vol. 31, no. 4, pp. 750–759, 2008. View at Publisher · View at Google Scholar · View at Scopus
  24. D. E. Goldberg, Genetic Algorithms: Search Optimization and Machine Learning, Addison Wesley, Boston, Mass, USA, 2007. View at Publisher · View at Google Scholar
  25. S. K. Gupta, P. Kuila, and P. K. Jana, “GAR: An Energy Efficient GA-Based Routing for Wireless Sensor Networks,” in ICDCIT 2013: Distributed Computing and Internet Technology, vol. 7753 of Lecture Notes in Computer Science, pp. 267–277, Springer Berlin Heidelberg, 2013. View at Publisher · View at Google Scholar
  26. N. Keerthipriya and R. Latha, “Adaptive cluster formation in MANET using particle swarm optimization,” in Proceedings of the 3rd International Conference on Signal Processing, Communication and Networking (ICSCN '15), pp. 1–7, IEEE, Chennai, India, March 2015. View at Publisher · View at Google Scholar
  27. S. Jamali, L. Rezaei, and S. J. Gudakahriz, “An energy-efficient routing protocol for manets: A particle swarm optimization approach,” Journal of Applied Research and Technology, vol. 11, no. 6, pp. 803–812, 2013. View at Publisher · View at Google Scholar · View at Scopus
  28. P. Kuila and P. K. Jana, “Energy efficient clustering and routing algorithms for wireless sensor networks: particle swarm optimization approach,” Engineering Applications of Artificial Intelligence, vol. 33, pp. 127–140, 2014. View at Publisher · View at Google Scholar · View at Scopus
  29. W. Shahzad, F. A. Khan, and A. B. Siddiqui, “Clustering in mobile ad hoc networks using comprehensive learning particle swarm optimization (CLPSO),” in Communication and Networking, vol. 56 of Communications in Computer and Information Science, pp. 342–349, Springer, Berlin, Germany, 2009. View at Publisher · View at Google Scholar
  30. A. K. Daniel, R. Singh, and J. P. Saini, “Swarm intelligence based routing technique for call blocking in heterogeneous mobile Adhoc network using link stability factor and buffering technique for QoS,” International Journal of Research and Reviews in Computer Science, vol. 2, pp. 65–72, 2011. View at Google Scholar
  31. J. J. Liang, A. K. Qin, P. N. Suganthan, and S. Baskar, “Comprehensive learning particle swarm optimizer for global optimization of multimodal functions,” IEEE Transactions on Evolutionary Computation, vol. 10, no. 3, pp. 281–295, 2006. View at Publisher · View at Google Scholar · View at Scopus
  32. A. Nickabadi, M. M. Ebadzadeh, and R. Safabakhsh, “A novel particle swarm optimization algorithm with adaptive inertia weight,” Applied Soft Computing, vol. 11, no. 4, pp. 3658–3670, 2011. View at Publisher · View at Google Scholar · View at Scopus
  33. M. R. Al-Rashidi and M. E. El-Hawary, “A survey of particle swarm optimization applications in electric power systems,” IEEE Transactions on Evolutionary Computation, vol. 13, no. 4, pp. 913–918, 2009. View at Publisher · View at Google Scholar · View at Scopus
  34. S. Sakamoto, T. Oda, M. Ikeda, and L. Barolli, “Design and implementation of a simulation system based on particle swarm optimization for node placement problem in wireless mesh networks,” in Proceedings of the 7th International Conference on Intelligent Networking and Collaborative Systems (INCoS '15), pp. 164–168, IEEE, Taipei, Taiwan, September 2015. View at Publisher · View at Google Scholar · View at Scopus
  35. S. Waseem, A. K. Farrukh, and B. S. Abdul, “Weighted clustering using comprehensive learning particle swarm optimization for mobile ad hoc networks,” International Journal of Future Generation Communication Networking, vol. 3, no. 1, pp. 61–70, 2010. View at Google Scholar
  36. T. V. Project et al., The ns Manual (formerly ns Notes and Documentation) 1, (3), 2011, http://www.isi.edu/nsnam/ns/.
  37. M. Aissa and A. Belghith, “A node quality based clustering algorithm in wireless mobile Ad Hoc networks,” in Proceedings of the 5th International Conference on Ambient Systems, Networks and Technologies (ANT '14), vol. 32, pp. 174–181, June 2014. View at Publisher · View at Google Scholar · View at Scopus
  38. G. Allard, P. Minet, D. Nguyen, and N. Shrestha, “Evaluation of the energy consumption in MANET,” Theme COM-Systems Communicants, Project Hipercom, INRIA, Rennes, France, 2006. View at Google Scholar