AN ENHANCED GENETIC ALGORITHM FOR DYNAMIC ROUTING IN ATM NETWORKS
Susmi Routray · 2010
The recent advancements in the telecommunication industry have brought forth many changes in the field. One of the most important is a shift towards the wireless communication scenario. Wireless ATM is fast becoming a solution in this direction. With WATM gaining momentum it is very important that the underlying ATM network is well laid out. One of the most important research issues in the ATM scenario is the optimized usage of bandwidth. In this paper we have proposed an Enhanced Genetic Algorithm (EGA) algorithm approach based solution for optimization of bandwidth through dynamic routing in ATM network. Previous research work shows that traditional optimization heuristics result in sub-optimal solution. In this paper we have explored non-traditional optimization technique specifically EGA. The results obtained thus prove that EGA can become a potential solver algorithm for obtaining optimized bandwidth. The optimized bandwidth could mean that some attractive business applications would become feasible such as high speed LAN interconnection, teleconferencing etc. We have also performed a comparative study of the selection mechanisms in GA and listed the best selection mechanism and a new initialization technique which improves the efficiency of the EGA.