L'objectiu del grup és la producció de contribucions rellevants en les àrees d'expertesa dels components del grup i la seva disseminació en revistes i conferències internacionals de prestigi reconegut. És voluntat del grup que les contribucions tinguin un impacte significatiu a llarg termini. La transferència de tecnologia és considerada com una conseqüència de l'excel·lència en la recerca i s'ha de portar a terme com un mitjà per incrementar l'impacte dels resultats, obtenir recursos per al grup i explorar nous temes per a la recerca en el futur.
Recently there has been a growing interest in mission operations scheduling problem. The problem, in a variety of formulations, arises in management of satellite/space missions requiring efficient allocation of user requests to make possible the communication between operations teams and spacecraft systems. Not only large space agencies, such as ESA (European Space Agency) and NASA, but also smaller research institutions and universities can establish nowadays their satellite mission, and thus need intelligent systems to automate the allocation of ground station services to space missions. In this paper, we present some relevant formulations of the satellite scheduling viewed as a family of problems and identify various forms of optimization objectives. The main complexities, due highly constrained nature, windows accessibility and visibility, multi-objectives and conflicting objectives are examined. Then, we discuss the resolution of the problem through different heuristic methods. In particular, we focus on the version of ground station scheduling, for which we present computational results obtained with Genetic Algorithms using the STK simulation toolkit.
Ikeda, M.; Barolli, L.; De Marco, G.; Yang, T.; Xhafa, F.; Durresi, A. Mobile information systems Vol. 5, num. 2, p. 165-176 DOI: 10.3233/MIS-2009-0079 Data de publicació: 2009-05-28 Article en revista
Sensor networks supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities are emerging as a critically important computer class that enable novel and low cost applications. There are many fundamental problems that sensor networks research will have to address in order to ensure
a reasonable degree of cost and system quality. Cluster formation and cluster head selection are important problems in sensor
network applications and can drastically affect the network’s communication energy dissipation. However, selecting of the
cluster head is not easy in different environments which may have different characteristics. In this paper, in order to deal with this problem, we propose two fuzzy-based systems for cluster head selection in sensor networks. We call these systems: FCHS
System1 and FCHS System2. We evaluate the proposed systems by simulations and have shown that FCHS System2 make a good selection of the cluster head compared with FCHS System1 and another previous system.