Implementation and performance analysis of AODV-PSO with AODV-GA and AODV-ABC

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    To upgrade the system lifetime fittingly many steering conventions and bunch based calculations are utilized to accomplish the execution need in WSN. From existing examination approaches, advancement of vitality in correspondence turns out to be extremely basic. Some portion of a vitality utilization of every sensor hub has a vital part while imparting among other sensor hubs for expanding lifetime of the WSN. This examination work concentrates on vitality protection in every sensor hub by utilizing AODV convention with PSO, GA and ABC based bunching and group head choice vitality enhancement calculation. AODV gives a course to correspondence while the group head is chosen utilizing PSO, GA, and ABC in view of the separation from the bunch part hub to sink hub and the leftover vitality in that hub. Reproduction comes about demonstrate that the inspiration of this work enhances the lifetime of the system exceptionally.


  • Keywords


    Wireless Sensor Network; Clustering; Routing Protocols.

  • References


      [1] Vandana Jindal, and Seema Bawa, “How the two Adhoc networks can be Different:MANET& WSNs”, International Journal of Computer Science and Technology, vol. 2, no.4, pp. 122-126, 2011.

      [2] Amir Hossein Mohajerzadeh, and Mohammad Hossien Yaghmaee, “Tree Based Energy and Congestion Aware Routing Protocol for Wireless Sensor Networks”,Journal of Wireless Sensor Network, vol.2, no.2, pp. 161-167, feb. 2010. https://doi.org/10.4236/wsn.2010.22021.

      [3] Hussein Mohammed Salman, “Survey of Routing Protocols in Wireless Sensor Networks”, International Journal of Sensors and Sensor Networks, vol. 2, no. 1, pp. 1-6, 2014.

      [4] Abdulaleem Ali Almazroi, and Ma Ngadi, “A Review on Wireless Sensor Networks Routing Protocol: Challenges in Multipath Techniques”, Journal of Theoretical and Applied Information Technology , vol. 59, no. 2, pp. 301-309, jan. 2014.

      [5] Md Azharuddin, and Prasanta K. Jana, “Energy Efficient Fault Tolerant Clustering and Routing Algorithms for Wireless Sensor Networks”, Journal of Computers and Electical Engineering, vol. 67, pp. 997–1002, 2014.

      [6] Ahmed E.A.A. Abdulla, and Nei Kato, “Extending the Lifetime of Wireless Sensor Networks: A Hybrid Routing Algorithm”, Journal of Computer Communication, vol. 35, pp.1056- 1063, 2012. https://doi.org/10.1016/j.comcom.2011.10.001.

      [7] Harish Kumar, and R.K. Singla, “Energy-Aware Fisheye Routing (EA-FSR) Algorithm for Wireless Mobile Sensor Networks”, Egyptian Informatics Journal, vol. 14, pp. 235-238, 2013. https://doi.org/10.1016/j.eij.2013.07.002.

      [8] Zulfiqar Ali, and Waseem Shahzad, “Critical Analysis of Swarm Intelligence based Routing Protocols in Adhoc and Sensor Wireless Networks”, IEEE Xplore, pp. 279-282, 2011. https://doi.org/10.1109/ICCNIT.2011.6020945.

      [9] Yong Lv, “Routing in Wireless Sensor Networks Using Swarm Intelligence”, IEEE Sponsored International Conference on Intelligent Control and Automation, Beijing, China, July 2012. https://doi.org/10.1109/WCICA.2012.6357964.

      [10] Enan A. Khalil, and Bara’a A. Attea , “Energy-Aware Evolutionary routing protocol for dynamic clustering of wireless sensor networks”, Journal of Swarm and Evolutionary Computation, vol. 1, no. 4, pp. 195-203, 2011. https://doi.org/10.1016/j.swevo.2011.06.004.

      [11] Pratyay Kuila, and Prasanta K. Jana, “Energy Efficient Clustering and Routing Algorithms for Wireless Sensor Networks: Particle Swarm Optimization Approach", Application of Artificial Intelligence Enggineering, vol. 33, pp. 127-140, 2014. https://doi.org/10.1016/j.engappai.2014.04.009.

      [12] S.Y.Amdani, “Study of Energy Efficient Wireless Sensor Network Protocols”, International Journal of Soft Computing and Engineering (IJSCE), vol. 4, no.1, pp. 396-419, March 2014.

      [13] M. Emre Keskin, and Cem Ersoy, “Wireless Sensor Network Llifetime Maximization by Optimal Sensor Deployment, Activity Scheduling, Data Routing and Sink Mobility”, Journal of Adhoc Network, vol.17, pp. 18-36, 2014. https://doi.org/10.1016/j.adhoc.2014.01.003.

      [14] Jalel Ben-Othman, and Bashir Yahya, “Energy Efficient and QoS Based Routing Protocol for Wireless Sensor Networks”, Journal of Parallel and Distributed Computing, vol. 70 no. 8, pp. 849-857, 2010. https://doi.org/10.1016/j.jpdc.2010.02.010.

      [15] Xiao Hui Li, and Kang Ling Fang, “A Heuristic Routing Protocol for Wireless Sensor Networks in Home Automation”, IEEE Sponsored 5th conference on Wireless Communication, Networking and Mobile Computing (WiCOM), pp.1-8, 2009.

      [16] Sudip Misra, and P. Dias Thomasinous, "A simple, Least-Time, and Energy- Efficient Routing Protocol with One-Level Data Aggregation for Wireless Sensor Networks", Journal of System and Software, vol. 83, no. 5, pp. 852-860, 2010. https://doi.org/10.1016/j.jss.2009.12.021.

      [17] Ming Yu, and Aniket Malvankar, “A Dynamic Clustering and Energy Efficient Routing Technique for Sensor Networks”, IEEE Transactions on Wireless Communications, vol. 6, no. 8, pp.147-159, Aug.2000.


 

View

Download

Article ID: 9065
 
DOI: 10.14419/ijet.v7i1.2.9065




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.