Optimal Game Routing for UAV Adhoc Networks in Smart City

Unmanned Aerial Vehicular networks play a vital role in future wireless networks due to their flexible network architecture. UAVs are deployed in the military operation, live streaming of events, agriculture farming and the internet of things in smart cities. The UAV adhoc networks are at their initial stages due to unique challenges such as high mobility and, 3D mobility leads to the unstable topology. To tackle this issue position-based routing schemes were introduced to offer high throughput and reduce packet overhead. Though offering many benefits, positionbased routing schemes offers higher delay due to the absence of routing table information. To counter this problem, we have proposed Optimal Game Routing Protocol in which each UAV gets position information of next hope UAV node as well as its neighbouring position. Moreover, we have formulated a game theory function which takes eigenvector centrality, total energy and delay as key measures to select the next hop. To evaluate the efficiency of the proposed scheme, we have compared our scheme with benchmark schemes. Results show OGR outer performs on different load scenarios.