Efficient Fuzzy-based Multi-constraint Multicast Routing With Multi-criteria Enhanced Optimal Capacity-Delay Tradeoff

摘要

In Mobile Ad-hoc Network (MANET), a mobility of the nodes may impact the node capacity and delay during transmitting the data from source to the destination in the network. To avoid this, Multi-criteria Enhanced Optimal Capacity-Delay Tradeoff (MEOCDT) was proposed with Time-limited Neighbor Detector using Multi-criteria Node Rank metric that detects the neighbors and optimal paths for reliable forwarding node. Though this technique improves link stability and node reliability, the computational complexity was high. Hence in this paper, an Efficient Fuzzy-based Multi-constraint Multicast Routing (EFM2R) method is proposed with MEOCDT to reduce the computational complexity of optimal node selection. The major objective of this technique is to solve the uncertainty issues in the consideration of multiple network metrics such as delay, bandwidth, Link Stability Factor (LSF) and residual energy. In this technique, the fuzzy logic method is proposed 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. Finally, the simulation results show the performance effectiveness of the proposed technique compared to the existing technique in terms of throughput, routing overhead, delay, packet delivery ratio.