INTELLIGENT ANT COLONY BASED QoS OPTIMIZATION ROUTING IN MANET

December 2019
Vol-5, Issue-6
Paper ID: 11164
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Science and Engineering
Keywords
MANET QoS Ant colony Routing Route Discovery Route Maintance
Abstract
In this rapid development of technological environment, mobile ad hoc network (MANET) embraces various technical issues due to its open medium and dynamic topology and decentralized wireless nodes. A mobile ad hoc network is a self configured network connected by wireless links. This kind of a network is only exercise for ad-hoc environment since it doesn’t have a centralized control. The mobile nodes by utilizing the services of additional nodes within the network to spread the information across the network. Due to its’ intrinsic performance of MANETS, Such as periodical change in topology, nodes mobility, resource paucity and dearth of central control. To offer Quality of Service (Qos) to this kind of network would become very arduous task an owing to dynamic environment posture and limited resources. QoS routing is a method of routing information from source to destination based on its resource constraints. In the earlier researchers developed many algorithms to progress the QoS in an ad hoc fashion network, but which are inadequate to overcome End to End delay, throughput and loss of packet. So this paper addresses a naval approach called intelligence with ant colony based Intelligence QoS routing in MANET. In this proposed method a group of node acquired from sporadic interaction in the midst of agents and nodes. This proposed system coherently segregates MANET into clusters comprising static agent and mobile agent. The mobile agent act together with the static agent and other mobile agents to gather about QoS related information and optimal path selection from source to destination to provide a better QoS Simulation and diagnostic results depicts the effectiveness of this proposed scheme.

Author Information

# Name Institute / Affiliation
1 P.Ramkumar Rajarajeswari College of Engineering
2 R.Uma Sri Sairam Engineering college

How to Cite

Use the following formats to cite this article in your research.

APA Style
P.Ramkumar & R.Uma (2019). INTELLIGENT ANT COLONY BASED QoS OPTIMIZATION ROUTING IN MANET. International Journal of Advance Research and Innovative Ideas In Education, 5(6), 1587-1595.
MLA Style
P.Ramkumar, and R.Uma. "INTELLIGENT ANT COLONY BASED QoS OPTIMIZATION ROUTING IN MANET." International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 6, 2019, pp. 1587-1595.
IEEE Style
P.Ramkumar and R.Uma, "INTELLIGENT ANT COLONY BASED QoS OPTIMIZATION ROUTING IN MANET," International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 6, pp. 1587-1595, 2019.
Vancouver Style
P.Ramkumar, R.Uma. INTELLIGENT ANT COLONY BASED QoS OPTIMIZATION ROUTING IN MANET. International Journal of Advance Research and Innovative Ideas In Education. 2019;5(6):1587-1595.
Harvard Style
P.Ramkumar & R.Uma (2019) 'INTELLIGENT ANT COLONY BASED QoS OPTIMIZATION ROUTING IN MANET', International Journal of Advance Research and Innovative Ideas In Education, 5(6), pp. 1587-1595.
Chicago Style
P.Ramkumar and R.Uma. "INTELLIGENT ANT COLONY BASED QoS OPTIMIZATION ROUTING IN MANET." International Journal of Advance Research and Innovative Ideas In Education 5, no. 6 (2019): 1587-1595.
Turabian Style
P.Ramkumar and R.Uma. "INTELLIGENT ANT COLONY BASED QoS OPTIMIZATION ROUTING IN MANET." International Journal of Advance Research and Innovative Ideas In Education 5, no. 6 (2019): 1587-1595.

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