Designing and Analysis of IEEE 802.11 MAC for UAVs Ad Hoc Networks Unmanned aerial vehicles (UAVs) are popular because they are low cost and do not put in danger human pilot lives. In this study, performance of IEEE 802.11 medium access control (MAC) for UAVs ad hoc networks is studied using an analytical model based on Markov chain model. Three dimensional (3D) nature and high mobility are main characteristics of UAVs ad hoc networks which are considered. The relationship among parameters and performance metrics such as throughput, packet dropping rate (PDR), and delay expressions are derived. Complexity analysis and numerical results are presented. Moreover, to ensure safe and efficient communication in UAVs ad hoc networks, IEEE 802.11 MAC can satisfy the performance requirements or not is investigated.

Optimizing InterCluster Flights of PostDisaster Communication Support UAVs In the aftermath of largescale disasters, critical communication infrastructure is often destroyed. Ad hoc networks can restore wireless communication with basic functionalities, especially for civilians in the affected areas. However, as humans form groups and tend to stay around important locations like shelters in such situations, the network is highly intermittent. Autonomous Unmanned Aerial Vehicles can act as controllable and highly mobile data carriers between separated network clusters to enable delaytolerant intercluster communication. A possible heterogeneous set of usable aerial vehicles and the necessity to adapt the system to various environments requires the system to be highly flexible. Combined with severe constraints in energy usage or number of available vehicles, there is a need to increase the efficiency of intercluster flights. In this paper, we present approaches to optimize intercluster flights based on communication performance and energy efficiency. The resulting optimization model is a powerful tool for operators to adjust system settings to match required demands.