Efficient Fuzzy-Based Multi-constraint Multicasting with Fault Tolerance Routing Mechanism

A very efficient and well-known computing environment is Mobile Adhoc Network (MANET). However, the node capacity and delay are affected during the data transmission due to its mobility. To tackle this problem, Multi-criteria Enhanced Optimal Capacity-Delay Tradeoff with Efficient Fuzzy-based Multi-constraint Multicast Routing (MEOCDT-EFM2R) method has been proposed to solve the optimal route selection problem where the multiple network metrics are taken into consideration. However, it requires fault tolerance-based Cluster Head (CH) selection since it does not handle any transmission or link failure in the network. Therefore in this paper, Efficient Fuzzy-based Multi-constraint Multicast Fault Tolerance Routing (MEOCDT-EFM2FTR) method is proposed to efficiently handle the transmission failure in the network. In this method, the CH for each cluster is chosen depending upon on the maximum nodal weight which is stored in the routing table. Initially, each and every node computes its weight with different network metrics like residual energy, mobility speed, computational power and fault tolerance. Then, the node with the highest weight is elected as CH of a specific cluster and each CH coordinates itself as a ring to tolerate any transmission failure by choosing a new CH. So, the new CH takes the responsibility of initial CH to complete the transmission without degrading the network performance. Finally, the simulation gives the evidence for the performance effectiveness of the MEOCDT-EFM2FTR method compared to the MEOCDT-EFM2R for throughput, routing overhead, delay, etc.