Fuzzy cost probability-based suppressed flooding multi-constrained QoS multicast routing for MANETs

Abstract

The core objective of our approach is to build a highly strong forwarding group and a stable mesh structure using fuzzy inference system. The fuzzy inference system takes multiple interrelated QoS parameters such as residual bandwidth (RB), residual energy (RE), link loss ratio (LLR), end-to-end delay (D), number of intermediate nodes (N) and link expiration time (LET) to find a strong node from a set of mobile nodes. A node can be classified as strong when the fuzzy cost probability (FCP) is high otherwise it is classified as a weak node. The proposed fuzzy cost probability-based multi-constrained QoS multicast routing (FCPMQMR) consists of two phases. The first phase performs the selection of forwarding node using fuzzy logic technique. The second phase builds a stable backbone mesh structure. In case of node failure, an alternative path from the primary route through another forwarding node is selected for communication. Simulation results demonstrate that the proposed FCPMQMR improves the packet delivery ratio by 5%-10% success ratio by 35%, and decreases the average end-to-end delay by 10%-15% and control overhead by 45%.