Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Call For Paper : Vol 11, Issue 08, August 2024

Call for Paper

Vol 11, Issue 08, August 2024

Indexing

Intelligent Structured Self Optimizing ACO based Routing for MANET

Author : Priyadarshini Badgujar 1 Hema Galiyal 2 Dr. Alam N. Shaikh 3

PDF

Date of Publication :15th February 2018

Abstract: In general, the problem in routing is of specifying path flows to proceed incoming data traffic so that the overall network performance is optimized. At each node data is forwarded according to a parameter mentioned in the routing table. The pathfinding algorithm starts when a data packet needs to be sent from a starting point to an end. The goal of routing is to find the shortest path. Routing in Mobile Ad-hoc Networks affected from frequent topology change, as Mobile Ad-hoc networks are dynamic in essence, so the node changes their physical location by moving around and it is difficult to design effective routing algorithms. An on-demand routing method is a famous routing category for wireless ad-hoc routing. It is a comparatively new routing idea that provides a scalable solution to comparatively large network topologies. The goal of our proposed system, we named it as Intelligent Structured Self-Optimizing Ant Colony Optimization Routing (ISSOACOR), is to design a new adaptive routing technique for finding an optimized route in Mobile Ad-hoc Networks which is reactive. This routing protocol combines ideas from Ant Colony Optimization routing with techniques from dynamic programming and local retransmission. We will use local retransmission to advance the reliability in term of packet delivery ratio. This method will enhance the efficiency of MANET routing protocol as energy consumption is minimum. We will calculate packet delivery ratio, the end to end delay, average throughput, and energy consumption. This work illustrates the importance in carefully evaluating and implementing routing protocols in an ad hoc environment.

Reference :

    1. Kieran Greer. “A metric for modelling and measuring complex behavioural systems”.
    2. J.Anuj K Gupta, Harsh Sadawarti, and Anil K Verma. “Manet routing protocols based on ant colony optimization”. International Journal of Modeling & Optimization (IJMO), ISSN, 3697:42–49, 2010.
    3. Nishtha Jatana, Dishant Gosain, Mehak Ahuja, Ishita Kathuria, and Sahil Puri. “Two processes based routing algorithm for ant colony optimization using swarm intelligence”.
    4. Umesh Kulkarni, Sachin Deshpande, and Swapnil Gharat. “Survey of swarm intelligence inspired routing algorithms and mobile ad-hoc network routing protocols”. 2013.
    5. SHEEL KUMAR. “Route optimization in mobile ad-hoc networks using ant colony optimization technique”. 2012.
    6. Venkatesh Mahadevan and Frank Chiang. “iACO: A bio-inspired power efficient routing scheme for sensor networks”. International Journal of Computer Theory and Engineering, 2(6):1793–8201, 2010.
    7. Jos´e Alex Pontes Martins, S Luis OB Correia, and J Celestino. “Ant-dymo: A bio-inspired algorithm for manets”. In Telecommunications (ICT), 2010 IEEE 17th International Conference on, pages 748–754. IEEE, 2010.
    8. Robert J Mullen, Dorothy Monekosso, Sarah Barman, and Paolo Remagnino. “A review of ant algorithms. Expert Systems with Applications”, 36(6):9608–9617, 2009.
    9. Alexandre Massayuki Okazaki and A Augusto Frohlich. “Ad-zrp: Ant-based routing algorithm for dynamic wireless sensor networks”. In Telecommunications (ICT), 2011 18th International Conference on, pages 15–20. IEEE, 2011.
    10. BMG Prasad and PVS Srinivas. “Sahr: Swarm adaptive hybrid routing protocol for mobile ad hoc networks”. International Journal of Computer Science Issues(IJCSI), 9(5), 2012.
    11. CH V Raghavendran, G Naga Satish, and P Suresh Varma. “ Intelligent routing techniques for mobile ad hoc networks using swarm intelligence”. International Journal of Intelligent Systems and Applications (IJISA), 5(1):81, 2012.
    12. Laura Rosati, Matteo Berioli, and Gianluca Reali. “On ant routing algorithms in ad hoc networks with critical connectivity”. Ad Hoc Networks, 6(6):827–859, 2008.
    13. Srinivas Sethi and Siba K Udgata. “The efficient ant routing protocol for manet”. International Journal on Computer Science and Engineering, 2(07):2414–2420, 2010.
    14. P Thanapal, S Nivedha, T Pratheeba, and PJ Kumar. “Enrichment of canonical ant colony algorithm in stigmergy optimization over ant colony and particle swarm optimization”. International Journal of Computer Science & Applications (TIJCSA), 1(12), 2013.
    15. Zhongshan Zhang, Keping Long, Jianping Wang, and Falko Dressler. “On swarm intelligence inspired self-organized networking: its bionic mechanisms, designing principles and optimization approaches”. 2013.

Recent Article