Research Area:  Mobile Ad Hoc Networks
MANET plays an irreplaceable task by providing quality aware broadcast routing technique for small infrastructure-less field of application. Depending upon arising interference, transmission power of individual node can be done by Ant Colony Optimization (ACO) algorithm. In addition, nodes probability link connectivity is estimated by using Bayesian pursuit (BPST) algorithm that determines probability to control adjustment in nodes power. In this paper, proposed to control topology with obstacle detection using RDPSO–GBA (Robotic Darwin Particle Swarm Optimization–Graph Based Algorithm) in mobile ad hoc network. The robotics DPSO is to be represented with the help of the multiple swarms of various testing results when each swarm particularly operates an ordinary PSO method with various set of rules which are governing the gather of swarms. In the graph based algorithm, the nodes are to be presented in the MANET which has been separated into the two various classes that is leaders and the followers. The leader has the base node and the explorer node and the follower has the autonomous robots which provide the communication broadcasting. The simulation and result shows that there is the analysis of the various performances which is compared with conventional methods.
Author(s) Name:  R. Vinoba,M. Vijayaraj
Journal name:  Computer Communications
Publisher name:   Elsevier B.V.
Volume Information:  Volume 160, 1 July 2020, Pages 847-857
Paper Link:   https://www.sciencedirect.com/science/article/abs/pii/S0140366419305201