Energy-Efficient UAVs Deployment for QoS-Guaranteed VoWiFi Service.

This paper formulates a new problem for the optimal placement of Unmanned Aerial Vehicles (UAVs) geared towards wireless coverage provision for Voice over WiFi (VoWiFi) service to a set of ground users confined in an open area. Our objective function is constrained by coverage and by VoIP speech quality and minimizes the ratio between the number of UAVs deployed and energy efficiency in UAVs, hence providing the layout that requires fewer UAVs per hour of service. Solutions provide the number and position of UAVs to be deployed, and are found using well-known heuristic search methods such as genetic algorithms (used for the initial deployment of UAVs), or particle swarm optimization (used for the periodical update of the positions).

Improving healthcare middleware standards with semantic methods and technologies.

A critical issue in healthcare informatics is to facilitate the integration and interoperability of applications. This goal can be achieved through an open architecture based on a middleware independent from specific applications; useful for working with existing systems, as well as for the integration of new systems. Several standard organizations are making efforts toward this target.