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Ant Colony and Load Balancing Optimizations for AODV Routing Protcol

Research Authors
Ahmed M. Abd Elmoniem, Hosny M. Ibrahim, Marghny H. Mohamed, and Abdel-Rahman Hedar
Research Department
Research Journal
International Journal of Sensor Networks and Data Communications
Research Rank
1
Research Publisher
Ashdin Publishing
Research Vol
Vol. 1
Research Website
http://www.ashdin.com/journals/ijsndc/X110203.aspx
Research Year
2011
Research_Pages
1 -14
Research Abstract

In this paper, we propose two methods to improve
the Ad-Hoc On-Demand Distance-Vector (AODV) protocol.
The main goal in the design of the protocol was to reduce
the routing overhead, buffer overflow, end-to-end delay and increase the performance. A multi-path routing protocol is proposed which is based on AODV and Ant Colony Optimization (ACO). This protocol is refereed to Multi-Route AODV Ant routing (MRAA). Also we propose a load balancing method that uses all discovered paths simultaneously for transmitting data. In this method, data packets are balanced over discovered paths and energy consumption is distributed across many nodes through network. This protocol is refereed to Load Balanced Multi-Route AODV Ant routing algorithm (LBMRAA).