Trust and Energy-aware Multipath Selection in MANET for Ensuring Quality-of-service Using the Optimization Protocol

Abstract

Mobile ad hoc networks (MANET) is a wireless sensor network with high dynamic topologies that provides reliable routing for data packet transmission. Determining the optimal routing multipath along with the energy efficient multipath is a challenging task among the researchers and multiple routing protocols are initiated but have some limitations such as increased delay, high energy consumption and low reliability. Though recent studies highlight the working of the multipath routing protocols, the complexity of the protocols increases when there is an increase in the number of paths and hence, the selection of the path is a tedious and challenging task. In this research, the optimal multipath is determined using Gallus livia bird optimization (GLBO)-based routing, that helps in the determination of the more efficient, trustworthy and energy efficient path. The GLBO algorithm is developed by the standard hybridization of the characteristics of the Gallus and livia birds, where the foraging speed of the Gallus is enhanced that helps in obtaining an optimized routing path. The efficiency of the research is proved by measuring the number of alive nodes in final iterations, where the GLBO method consists of 44 alive nodes during the iteration 100, which tend to be more efficient. Similarly reduced delay of 0.557 sec is obtained during the transmission, which tends to reduce the energy and maximizes the lifetime of the network. The energy remained during the final iterations is measured in Joule, where the proposed method attained 0.073 Joules with the reliability of 48.520%. The overall analysis of the network shows that the GLBO based routing method works more efficiently compared to some state of art methods.