RETRACTED ARTICLE: Heuristic ant colony and reliable fuzzy QoS routing for mobile ad hoc network

Abstract

The furthermost important issues in mobile ad hoc network (MANET) are to provide a multi-path and multi-constraint qualify of service (QoS) routing for uninterrupted communication between the nodes. On one hand multi-constrained QoS routing deal with identifying paths that assure numerous autonomous QoS limitations and on the other hand, multi-path refers to the identification of multiple paths. Besides due to higher rate of topological changes and the energy constrained nodes in the network, literature survey provides us ant colony optimization (ACO), a unique variety of optimization procedure which was found to be extremely convenient for identifying reliable routing. To deal with following concerns, we suggest a multi-path multi-constraint energy-efficient routing method. In the projected method, calculate the metrics such as end to end delay and QoS monitoring agents collect, link stability, energy consumption, available bandwidth, and packet loss rate. The proposed method is called as the heuristic concurrent ACO and reliable fuzzy (HEACO–RF) QoS routing protocol for MANET. The HEACO–RF QoS routing protocol for MANET includes two phases. In the first phase, the ant colony optimization algorithm is modified to identify a deposit of candidate routes among a pair of source and destination. While identifying the candidate routes along with the QoS metrics, heuristic factors and reliable fitness functions are also considered. In the second phase, the reliability technique is used to measure each path and the paths with high reliability is selected by the ant agents using fuzzy logic based on the metrics link stability, residual energy, and packet loss rate. Simulation outcomes prove that HEACO–RF QoS routing protocol decreases the energy consumption and improves the packet delivery ratio, packet loss rate with minimum delay.