Research Area:  Mobile Ad Hoc Networks
The QoS (quality of service) of Manet is depending various factors but it is highly rely on quality of links between the routes. The ratio of link failure reduces the throughput performance which is directly affecting the QoS. The most industrial units provide various services which can be accessed through mobile adhoc network. This supports the industrial entities and users to access the services through various mobile devices. As the nodes of Manet moves in different speed at various directions, the frequency of link failure will be always higher. However, to support data transmission, number of routing protocols has been discussed earlier (REF-26), but suffer to achieve higher QoS performance. To improve the quality of route selection towards maximization of QoS, a novel probabilistic link availability based traffic free route selection algorithm is presented in this paper. The method uses the location information, mobility speed, direction of various nodes in the measurement of probability in link availability. Also, the value of traffic at each node, neighbors of each node, and the frequency of transmission in each hop to measure the QoS Support Measure. The method first identifies the list of routes according to the broadcast mechanism and learns the topological information and traffic details. Using the details learned, the method identifies the list of routes and probable feature routes. For each route identified, the method estimates QoS support measure to choose a traffic free route at any time. Finally a single route has been selected to achieve high performance transmission in Manet.
Author(s) Name:  S. Sankar Ganesh & G. Ravi
Journal name:  Journal of Ambient Intelligence and Humanized Computing
Publisher name:  Springer
Volume Information:  volume 12, pages 6873–6883 (2021)
Paper Link:   https://link.springer.com/article/10.1007/s12652-020-02331-1