Adaptive path planning for Collaborative ground to air wireless networks

Abstract

A collaborative ground to air network formed by ground nodes and unmanned aerial vehicles, gives service and coverage of the remote ground nodes. Unmanned aerial vehicle find there usage in reconnaissance, search and rescue operations, disaster relief operations, surveillance and homeland security operations. These operations have tendency to generate or search for objects of interest which are completely irregular, spatially distributed in a given space and are susceptible to fast changes, and thus making linear, randomized or study based search and acquisition practically non-feasible. This paper dives into the random nature of the ground nodes deployment. Finds area of interest in the network and classifies them into events. The UAV controller described in this paper then uses this event scenario to predict the optimized UAV path and placement co-ordinates for improving the data dissemination of the ground based nodes.