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Routing based on Fuzzy Rule base System and K-Means Clustering in Ad Hoc Wireless Network
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 35 - Number 4 |
| Year of Publication: 2011 |
| Authors: P. S. Banerjee, J. Pal Choudhury, S. R. Bhadrachaudhuri |
10.5120/4385-6076
|
P. S. Banerjee, J. Pal Choudhury, S. R. Bhadrachaudhuri . Routing based on Fuzzy Rule base System and K-Means Clustering in Ad Hoc Wireless Network. International Journal of Computer Applications. 35, 4 ( December 2011), 1-5. DOI=10.5120/4385-6076
Abstract
Mobile Ad Hoc network (MANET) is the need of the day. It is characterized by self-organized wireless interconnection of communication devices that would either extend or operate in concert with the wired networking infrastructure or, possibly, evolve to autonomous networks. Unlike traditional wireless networks, ad hoc networks do not rely on any fixed infrastructure. Instead, hosts rely on each other to keep the network connected. Efficient routing in MANET, is one of the most challenging task as any node may compromise the routing protocol functionality due to lack of bandwidth or less battery life or more power consumption and/or high mobility. There are various routing problems related to bandwidth, signal strength, mobility delay, throughput and power consumption. In this paper an effort has been made to select optimum route between source and destination. Fuzzy rule base has been proposed with respect to the values of the above mentioned parameters of MANET. Optimum route has been selected by the application of K-Means clustering technique over the fuzzy rule base. Despite the infrastructural constraint of the MANET, it is expected that this optimum route would provide efficient connection between the source and destination.
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