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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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Abstract
Considering that a MANET has no infrastructure and its multi-hop in nature, each node acts as a router. The nodes are relocating arbitrarily, and the topology of the network is dynamic. Routing poses a number of problems in MANET considering that mobility explanations radio links to interrupt on the whole. When any link or route breaks, this direction desires to be both repaired by using finding an additional hyperlink if any and changed with a newly found route. This rerouting operation cost the radio resource and battery vigour even as rerouting prolong may have an impact on great of provider (QoS) for purposes and degrade the community performance. In practice, some routes get congested, at the same time different routes stay underutilized. The basic idea of our approach is to enhance the load balancing and thus reduce congestion on overloaded links. This mechanism has enabled us to give critical applications higher priority when routing their packets across the network, and effectively manage frequent connections and disconnections and thus reduce link failures and packet loss rates, and reduce the overall power consumption as a consequence of the previous gains. In this paper, to increase the community performance is made utilizing the multi agent centered load balancing algorithm. Moreover through the simulation, it is proven that the proposed modified AODV protocol can participate in higher than the traditional AODV. Additionally, the effect of interface queue size and hyperlink high-quality on normalized routing load, common throughput and common end to finish extend are determined.
Keyword
Quality of Service, Multi Agent, Load Balancing, MANET.
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