In this paper we apply Analytic Hierarchy Process (AHP), a multi-criteria selection scheme, for efficient JPEG2000 image and video transmission over Wireless Multimedia Sensor Networks (WMSNs). AHP exploits the advantages of JPEG2000 multi-layer and resolution features to set up the process. We show the benefits of adopting AHP scheme in comparison with a case when decisions are made by using only a single criteria.
As demand for air travel increases at a staggering rate, the National Airspace System (NAS) is becoming unable to effectively handle the increased stress on the system. To solve these inefficiencies, the Next Generation Air Transportation System (NextGen) has been proposed to improve the adaptability of the airspace. Because of the importance of the terminal airspace to the overall efficiency of the system, dynamically adapting the terminal airspace is crucial for adapting to future traffic patterns. An algorithm has been developed to use air routes and traffic data to dynamically generate sectors for various configurations and airports. This paper will evaluate the sectors created by our sector design algorithm for terminal dynamic airspace configuration (TDAC) using multiple methods. The first method will compare the performance of sectors generated with real traffic data and that of the current sectors. Using metrics inspired by dynamic density components, the traffic complexity can be estimated from current and algorithm generated sectors to quantify the algorithm’s success. The sector design algorithm will then be applied to future, simulated scenarios to determine if it will generate consistent results between real and simulated data. Finally, the effect of dynamic airspace configurations will be evaluated by analyzing the benefit of dynamical resectorization for various time intervals.
Unmanned aerial vehicles have taken on a very large role in military operations and there is considerable interest in expanding their use to commercial and scientific applications. Because of the dependence of these vehicles on computer systems, their high degree of autonomy, and the danger posed by a loss of vehicle control, it is critical that the proliferation of these vehicles be accompanied by a thorough analysis of their vulnerabilities to cyberattack.