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

Authors: H. Santhi; N. Jaisankar

Addresses: School of Computing Science and Engineering, VIT University, Vellore-632014, Tamil Nadu, India ' School of Computing Science and Engineering, VIT University, Vellore-632014, Tamil Nadu, India

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%.

Keywords: mobile ad hoc networks; multicast routing; fuzzy logic; residual energy; quality of service; QoS; forwarding groups; fuzzy cost probability; suppressed flooding; MANETs; fuzzy inference systems; FIS; residual bandwidth; link loss ratio; end-to-end delay; intermediate nodes; link expiration time; backbone mesh structure; simulation; packet delivery ratio.

DOI: 10.1504/IJHPCN.2017.10003767

International Journal of High Performance Computing and Networking, 2017 Vol.10 No.1/2, pp.100 - 108

Available online: 13 Mar 2017 *

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