A framework for Fuzzy-based Fault Tolerant Routing mechanism with Capacity Delay Tradeoff in MANET

Abstract

A very efficient and well-known computing environment is Mobile Adhoc Network (MANET) since it is simple for installation. The reliability and link stability for transmitting the packets is needed in MANET to achieve Quality of Service (QoS) support in terms of available bandwidth, high throughput and stable jitter. Hence, QoS aware metric for routing is incorporated with the Correlated Mobility (CM). In this method, Link Stability Factor(LSF) is estimated by considering received signal strength, the appropriate contention count and hop count. On the basis of the estimated LSF, stable link is determined. After that, the node with the highest LSF is elected as a reliable forwarding node.  But, neighbor nodes were required to be detected within low-bounded time interval for improving the link stability and forward node selection. And also the uncertainty issues in the consideration of multiple network metrics such as delay, bandwidth, Link Stability Factor and residual energy are to be solved. Here, the fuzzy logic method is used to convert the considered network metrics as a single metric called fuzzy cost or communication cost. Then, the path with minimum fuzzy cost is selected as an optimal route to transmit the data from the source to the destination node in the network with reduced delay.  However, the node capacity and delay are affected during data transmission due to its mobility. Multi-criteria Enhanced Optimal Capacity-Delay Tradeoff with Efficient Fuzzy-based Multi-constraint Multicast Routing (MEOCDT-EFM2R) method efficiently handles the transmission failure in the network. In this method, the Cluster Head (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. Finally, the simulation gives the evidence for the performance effectiveness of the MEOCDT-EFM2FTR method for throughput, routing overhead, delay, etc.