An efficient ant based qos aware intelligent temporally ordered routing algorithm for manets

TL;DR

This paper introduces an energy-efficient, QoS-aware, multipath routing algorithm for MANETs based on ant colony optimization, improving network lifetime, packet loss, and delay for real-time applications.

Contribution

It presents a novel ant-based multipath routing algorithm that incorporates QoS constraints, enhancing robustness and energy efficiency in MANETs.

Findings

Increased network lifetime due to energy-aware routing.

Reduced packet loss and end-to-end delay.

Effective handling of QoS constraints in dynamic MANET environments.

Abstract

A Mobile Ad hoc network (MANET) is a self configurable network connected by wireless links. This type of network is only suitable for temporary communication links as it is infrastructure-less and there is no centralised control. Providing QoS aware routing is a challenging task in this type of network due to dynamic topology and limited resources. The main purpose of QoS aware routing is to find a feasible path from source to destination which will satisfy two or more end to end QoS constrains. Therefore, the task of designing an efficient routing algorithm which will satisfy all the quality of service requirements and be robust and adaptive is considered as a highly challenging problem. In this work we have designed a new efficient and energy aware multipath routing algorithm based on ACO framework, inspired by the behaviours of biological ants. Basically by considering QoS constraints and artificial ants we have designed an intelligent version of classical Temporally Ordered Routing Algorithm (TORA) which will increase network lifetime and decrease packet loss and average end to end delay that makes this algorithm suitable for real time and multimedia applications.