Optimization of Value of Parameters in Ad-hoc on Demand Multipath Distance Vector Routing Using Teaching-Learning Based Optimization
Anil Kumar Giri, Daya Krishan Lobiyal, C. P. Katti · Procedia Computer Science · 2015
The performance of Vehicular ad-hoc network (VANET) depends on many factors. One of the factors is routing protocol and the performance of routing protocol in given scenario depends on the value of parameters used in. The combinations of such values are very large. Therefore, we have used Teaching-Learning Based Optimization (TLBO) technique to find optimal value of parameters for Ad-hoc On Demand Multipath Distance Vector (AOMDV) in given real scenario. The Experimental results show drastic improvements in Average End-to-End delay (90.50% drop), Network Routing Load (41.68% drop) and Packet Delivery Ratio (0.39% rise) using value of parameters obtained through TLBO.