Abstract

Mobile ad hoc networks (MANETs) favour flexible routing protocols because a single route exceeds certain limits. It has many advantages over one-way routing approaches, including high productivity, low end latency, high energy efficiency, and long network life expectancy. As MANET terminals are powered by batteries, energy efficiency is a crucial requirement for many applications. C-QoS-AOMDV is a cluster-based QoS-aware multipath routing protocol for MANET that uses hybrid soft computing techniques to further improve QoS. The main contributions of proposed C-QoS-AOMDV routing protocol are given as follows. In C-QoS-AOMDV routing protocol, we present a modified bird mating optimization (MBMO) clustering technique which reduces the total energy consumption of the network. We compute cluster head (CH) based on the multiple constrains for data transmission between cluster members to corresponding CH node. Then, the mine blast optimization (MBO) algorithm is used to optimize multiple constrains to compute trust degree and maximum trust degree to select CH. Third, we illustrate hierarchical decision tree based deep neural network (HDT-DNN) which is used to compute the next intermediate node for further data transfer between one CH to another CH. Finally, the proposed C-QoS-AOMDV routing protocol is implemented in Network Simulator (NS-3) and the results are compared to the cutting-edge technology protocols AOMDV, AOMDV-QoS, and GE-QoS-AOMDV.

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