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Sivajothi, M.
- Multipath Ant Routing Algorithm in Mobile Ad Hoc Networks
Authors
1 Department of Computer Science, Sri Parasakthi College for Women, Courtallam, IN
Source
Wireless Communication, Vol 6, No 1 (2014), Pagination: 31-36Abstract
Mobile Ad hoc Networks (MANETs) are networks that consist entirely of mobile nodes, placed together in an ad hoc manner. All nodes have routing capabilities, and forward data packets for other nodes. Nodes can enter or leave the network at any time, and may be mobile, so that the network topology changes frequently. There are lots of challenges in these networks which makes routing task hard. These challenges arise from the dynamic and unplanned nature of these networks, from the unreliability of wireless communication, from the limited resources available in terms of bandwidth, processing capacity, etc., and from the possibly large scale of these networks. Due to these different challenges, new algorithms are needed at all layers of the network protocol stack.
We try to cover these challenges by using ideas from artificial intelligence namely Ant Colony Optimization (ACO) and Multipath Routing. ACO algorithms tend to provide properties such as adaptivity and robustness, which are needed to deal with the challenges present in MANETs. Multipath routing provides multiple stable paths for routing data sets, which bring efficiency for MANETs.
So we present Multipath Ant Routing (MAR) algorithm which combines ideas from ACO routing and Multipath routing. The algorithm has hybrid architecture, combining both reactive and proactive mechanisms. In simulation results, we show that for a wide range of different environments and performance metrics, MAR can outperform.
Keywords
Ad Hoc Networks, Ant Colony Optimization, MANETs, Routing Protocol.
- An Efficient Multiple Ant Colony Based Routing Protocol to Support Multimedia Communication in Ad Hoc Wireless Network
Authors
1 Departmaent of Computer Science in Sri Parasakthi College for Women, IN
2 School of Computer Science and Head of the Department of Computer Science and Engineering, Alagappa University, IN
Source
Wireless Communication, Vol 2, No 11 (2010), Pagination: 474-477Abstract
The major problem in Ad hoc Networks is to find a route between the communication end points. The topology of the network changes constantly due to the mobility of the nodes and paths which were initially competent and can quickly become incompetent or even infeasible. Ant Colony Optimization (ACO) is a biological inspiration simulating the ability of real ant colony of finding the shortest path between the nest and food source. Ant colony algorithms are motivated by the observation of real ant colonies. ACO is one of the successful applications of Swarm Intelligence (SI) which is the field of Artificial Intelligence (AI) that studies the intelligent behavior of ants. In this paper, Multiple Ant Colony Optimization based routing protocol is used to support multimedia communication in Ad Hoc Network. This approach avoids the stagnation problem on ants. This approach increases effectiveness and adaptiveness. Moreover, tabu search is used in this approach which avoids the blind alley problem of ants.