Abstract
Wireless network is most emerging area and progressing day by day. These days accessibility of large number of handheld devices has made the use of wireless-technology possible for making communication easier. Mobile Adhoc Networks (MANETs) are the essential sub-part of wireless technology which don’t use fixed entity or stand alone for the purpose of long distance communication. Every mobile node play the role of a router in forwarding the data packets as well as control. Due to the dynamic nature of mobile nodes, the path breaks are frequently happen and this is a becoming the major issue of MANET. During movement of mobile nodes, energy consumption is very high and make the routing process difficult so that connection lost in between. Swarm intelligence is the collective behavior of decentralized and self organized system and Ant Colony Optimization (ACO) is a specific branch of Swarm intelligence which can be used to solve optimization problems like routing. In this paper, a new multi-path routing algorithm is devised with the help of ACO and is incorporated in the environment of Ad hoc on Demand Multi-path Distance Vector (AOMDV) routing protocol. The new algorithm is designed by considering the features like path stability and regulating the intermediate nodes for the transfer or broadcasting of the packets. The new algorithm is compared with other prominent routing algorithms like ADSR, AOMDV, TORA and DSDV. This algorithm demonstrate the better performance in comparison with all the other algorithms.
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