Abstract
The mobile ad-hoc networks (MANET) are infrastructure less and decentralized group of mobile nodes where the routers and mobile hosts are connected over wireless radio links. With the easy availability and widespread use of the highly mobile and portable devices such as laptop, sensor devices, PDAs etc, the mobile ad hoc networks are receiving increasing attention as there is a growing need for connectivity between these devices in real time, without the help of any fixed infrastructure. In MANET, the nodes communicate with each other using multi-hop communication system. The nodes and routers are free to move within the network and it is a difficult task to maintain the network topology as it changes randomly and unpredictably. Therefore, in mobile domain, establishing suitable and effective paths between the communicating end points while satisfying the time varying QOS requirements for wide variety of applications, has become a big challenge now. In this paper, we have presented a new on demand QOS routing algorithm for mobile ad hoc network with the concept of Ant Colony Optimization. This algorithm is based on swarm intelligence. It is inspired by the behaviour of the biological ants of finding optimal route to the food source in a collective but decentralized manner. With the introduction of new quality of service parameters like link stability time and available buffer size in the context of ant colony system, this algorithm provides effective routes for end to end communication.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Goyal, P., Parmar, V., Rishi, R.: MANET: Vulnerabilities, Challenges, Attacks, Application. IJCEM International Journal of Computational Engineering & Management 11 (2011) ISSN (Online): 2230-7893
Perkins, C.E., Belding-Royer, E.M., Das, S.: Ad Hoc On demand Distance Vector (AODV) Routing. IETF RFCÂ 356
Johnson, D., et al.: Dynamic Source Routing in Ad Hoc Wireless Networks. IETF Internet Draft (March 2003)
Clausen, T., Jacquet, P.: Optimized Link State Routing Protocol. IETF Internet Draft (July 2003)
Chakrabarti, S., Mishra, A.: QoS issues in Ad Hoc Wireless Network. IEEE Communications Magazine 39(2), 142–148 (2001)
RFC 793, Transmission Control Protocol (September 1981)
Chiu, D., Jain, R.: Analysis of the Increase/Decrease Algorithms for Congestion Avoidance in Computer Networks. Journal of Computer Networks and ISDN 17(1), 1–14 (1989)
Belkadi, M., Lalam, M., M’Zoughi, A., Aoudjit, R., Daoui, M., Ait Ali, K.: Am’elioration des Performances de TCP dans les MANETs par la Technique Xon/Xoff. In: 9’eme Conf’erence Magre’bine sur les Technologies de l’information, MCSEAI 2006 Proceedings, pp. 86–90 (2006)
Wang, J., Osagie, E., Thulasiraman, P., Thulasiram, R.K.: HOPNET: A hybrid ant colony optimization routing algorithm for mobile ad hoc network, Department of Computer Science. University of Manitoba, Winnipeg
Belkadi, M., Lalam, M., M’zoughi, A., Tamani, N., Daoui, M., Aoudjit, R.: Intelligent Routing and Flow Control in MANETS. Journal of Computing and Information Technology - CIT, 233–243 (March 18, 2010)
Banik, S., Roy, B., Saha, B., Chaki, N.: Design of QoS Routing Framework based on OLSR Protocol. In: ARTCOM 2010, pp. 171–173. IEEE Explorer, Kochin (2010)
Deepalakshmi, P., Radhakrishnan, S.: Ant Colony Based QoS Routing Algorithm For Mobile Ad Hoc Networks. International Journal of Recent Trends in Engineering 1(1) (May 2009)
Jawahar, A.C.S.: Ant Colony Optimization for Mobile Ad-hoc Networks. Department of Electrical Engineering. Rutgers
Singh, R., Singh, D.K., Kumar, L.: Ants Pheromone for Quality of Service Provisioning In Mobile Adhoc Networks. International Journal of Electronic Engineering Research 2(1), 101–109 (2010) ISSN 0975 – 6450
Kamali, S., Opatrny, J.: A Position Based Ant Colony Routing Algorithm for Mobile Ad-hoc Networks. Journal of Networks 3(4) (April 2008)
Su, W., Lee, S.-J., Gerla, M.: Mobility Prediction in Wireless Networks, Department of Computer Science. University of California, Los Angeles
Banik, S., Roy, B., Dey, P., Chaki, N., Sanyal, S.: QoS Routing using OLSR with Optimization for Flooding. International Journal of Information and Communication Technology Research 1(4), 164–168 (2011) ISSN-2223-4985
Chaki, R., Sinha, D.: LCRACO – A New Load & Congestion Controlled Routing Based on Ant Colony Optimization. In: Proceedings of International Workshop on Internet and Distributed Computing Systems (IDCS 2008), Khulna, Bangladesh, December 24 (2008)
Chaki, R., Sinha, D.: MALBACO – A New Multi Agent Load Balanced Ant Colony Optimization for MANETS. In: World Congress on Nature & Biologically Inspired Computing (NaBIC 2009) (2009)
Ducatelle, F.: Adaptive Routing in Ad Hoc Wireless Multi-hop Networks. Faculty of Informatics. Universitμa della Svizzera Italiana
Günes, M., Sorges, U., Bouazizi, I.: ARA – The Ant-Colony Based Routing Algorithm for MANETs, Department of Computer Science, Informatik 4. Aachen University of Technology, Aachen, Germany
Prasad, S., Singh, Y.P., Rai, C.S.: Swarm Based Intelligent routing for MANET. International Journal of Recent trends in Engineering 1(1) (May 2009)
Shokrani, H., Jabbehdari, S.: A Survey of Ant Based routing Algorith for Mobile Ad-Hoc Networks. In: International Conference on Signal Processing Systems (2009)
Thenmozhi, D.S., Lakshmipathi, R.: Highly Ensured QOS Routing in Mobile Ad Hoc Networks Based on Multiple Constraints. International Journal of Computer Applications 8(4) (October 2010) ISSN 0975-8887
Fan, Z.: QoS routing using lower layer information in adhoc networks. In: Proc. Personal, Indoor and Mobile Radio Communications Conf., pp. 135–139 (September 2004)
Dorigo, M., Maniezzo, V., Colorni, A.: The Ant System: Optimization by a colony of cooperating agents. IEEE Transactions on systems, Man, and Cybernetics–Part B 26(1), 1–13 (1996)
Belkadi, M., et al.: Intelligent Routing and Flow Control in MANETs. Proc. Journal of Computing and Information Technology, CIT 18(3), 233–243 (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Sardar, A.R., Singh, M., Sahoo, R.R., Majumder, K., Sing, J.K., Sarkar, S.K. (2014). An Efficient Ant Colony Based Routing Algorithm for Better Quality of Services in MANET. In: Satapathy, S., Avadhani, P., Udgata, S., Lakshminarayana, S. (eds) ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India- Vol I. Advances in Intelligent Systems and Computing, vol 248. Springer, Cham. https://doi.org/10.1007/978-3-319-03107-1_26
Download citation
DOI: https://doi.org/10.1007/978-3-319-03107-1_26
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03106-4
Online ISBN: 978-3-319-03107-1
eBook Packages: EngineeringEngineering (R0)