Dynamic Routing for Flying Ad Hoc Networks - 2016 PROJECT TITLE : Dynamic Routing for Flying Ad Hoc Networks - 2016 ABSTRACT: This paper reports experimental results on self-organizing wireless networks carried by little flying robots. Flying accidental networks (FANETs) composed of small unmanned aerial vehicles (UAVs) are flexible, inexpensive, and quick to deploy. This makes them a terribly engaging technology for several civilian and military applications. Because of the high mobility of the nodes, maintaining a Communication link between the UAVs could be a difficult task. The topology of those networks is more dynamic than that of typical mobile spontanepous networks (MANETs) and of typical vehicle unexpected networks. As a consequence, the existing routing protocols designed for MANETs partly fail in tracking network topology changes. In this paper, we compare 2 completely different routing algorithms for impromptu networks: optimized link-state routing (OLSR) and predictive OLSR (P-OLSR). The latter is an OLSR extension that we tend to designed for FANETs; it takes advantage of the Global Positioning System (GPS) info obtainable on board. To the best of our information, P-OLSR is currently the sole FANET-specific routing technique that has an accessible Linux implementation. We present results obtained by both media-access-control (MAC) layer emulations and real-world experiments. Within the experiments, we tend to used a testbed composed of 2 autonomous fastened-wing UAVs and a node on the ground. Our experiments evaluate the link performance and the Communication vary, moreover as the routing performance. Our emulation and experimental results show that P-OLSR significantly outperforms OLSR in routing in the presence of frequent network topology changes. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Access Protocols Vehicular Ad Hoc Networks Mobility Management (Mobile Radio) Radio Links Autonomous Aerial Vehicles Routing Protocols Dynamic Channel Access to Improve Energy Efficiency in Cognitive Radio Sensor Networks - 2016 End-to-End Reliability-Aware Scheduling for Wireless Sensor Networks - 2016