Resolving Dynamic Shortest Path Routing Problems in Mobile Adhoc Networks Using ABC And ACO
Journal Title: International Journal of Computer & organization Trends(IJCOT) - Year 2013, Vol 3, Issue 3
Abstract
Mobile Ad Hoc Network (MANET) is a dynamic multihop wireless network which is self organized and self managed network. MANET is decentralized by a collection of mobile nodes. The major problem in MANET is fast changing nature due to the random movement of the nodes. Routing is the process of moving information across the network from a source to a destination. Routing is challenging in this type of networks due to the mobility of nodes, energy and limited resources etc. This type of networks has difficult to find a path between the communicating nodes. Nature-inspired algorithms (swarm intelligence) such as ant colony optimization (ACO) algorithms and Artificial Bee Colony (ABC) algorithm have shown to be a good technique for identifying multiple stable paths between source and destination nodes. The Ant Colony Optimization (ACO) algorithm is proposed for finding dynamic shortest path and also avoiding the convergence to a locally optimal solution. The Artificial Bee Colony (ABC) algorithm is proposed for finding the dynamic shortest path with best parameter vector which minimizes an objective function.
Authors and Affiliations
R. Sivakumar
Keywords
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