An efficient ant based qos aware intelligent temporally ordered routing algorithm for manets
This work addresses the challenge of providing robust and adaptive QoS routing in infrastructure-less MANETs, which is an incremental improvement over existing methods.
The authors tackled the problem of QoS-aware routing in Mobile Ad hoc Networks (MANETs) by designing an ant colony optimization-based multipath routing algorithm that improves network lifetime, reduces packet loss, and decreases average end-to-end delay, making it suitable for real-time applications.
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.