Small (10kg) UAVs are low-cost low-risk candidates for emerging UAV applications. Examples include multi-UAV swarming, flocking, and sensing operations; or, as a communication relay for a network of ground radios mounted at fixed sites, on vehicles, or in sensors. A key enabler is the ability of the UAVs to communicate with each other and with ground based radios as a distributed peer-to-peer ad hoc network. Such networks allow any two radio nodes to communicate directly or through an arbitrary number of intermediate nodes which act as relays. Thus, understanding the performance of such networks in these UAV scenarios is necessary to understand the limits of multi-UAV operations. The University of Colorado has developed and built a wireless network test bed using IEEE 802.11b (WiFi) radio equipment mounted on small low-cost UAVs. This paper describes the testbed and its monitoring architecture. The testbed gives detailed data on network throughput, delay, range, and connectivity under different operating regimes. These results enable us to better document and characterize real ad hoc network behavior among UAVs.

Information technology plays an important role in facilitating disaster management and allowing planners for a more efficient disaster handling. Climate change can reasonably be expected to increase countries' vulnerability to natural hazards in future. We are already witnesses of extreme meteorological phenomena, such as expanded fires and floods. This paper gives Mobile Ad-Hoc Network (MANET) along with Dynamic Source Routing protocol (DSR). Simulation results for performance measurement of DSR algorithm for normal condition are given first. Same parameters are measured after applying disaster condition on nodes is presented in next section. In last section simulation results of disaster prevention condition are given. It is observed that performance of the network after application of prevention condition is nearly same as the normal performance. The performance is evaluated in terms of Network Throughput, Packet Delivery Ratio, and Average end to end delay Keywords-MANET, DSR Algorithm, throughout, PDR, end to end delay