No abstract

Heterogeneity of connection technologies and nodes mobility open new challenges in home networks control strategies. Moreover, user's needs are changing towards applications requiring high transmission speeds such as 3D gaming, enhanced interactivity and high definition video. Each of those applications puts several constraints on the network capabilities to guarantee requirements on the Quality of Service. In this paper we introduce an innovative concept based on fast load balancing algorithm operating on top of a convergence layer, in order to rapidly react to network changes and contemporaneously to satisfy strict application demands. We formulated the load balancing problem as a Multi-Commodity Flow and resolved it with a column generation approach using Lagrangian Relaxation and Dijkstra algorithm. The load balancing problem computational complexity is decreased with respect to state of the art load balancing solutions based on linear programming techniques. Proof of concept simulation results are reported

Mobile-Ad-Hoc-Networks (MANET) are self-configuring networks of mobile nodes, which communicate through wireless links. One of the main issues in MANETs is the mobility of the network nodes: routing protocols should explicitly consider network changes into the algorithm design. MANETs are particularly suited to guarantee connectivity in disaster relief scenarios, which are often impaired by the absence of network infrastructures. This work proposes a proactive routing protocol, developed via Reinforcement Learning (RL) techniques, to dynamically choose the most stable path, basing on GPS information, among the feasible ones and to consequently increase resiliency to link failures. Simulations show the effectiveness of the proposed protocol, through comparison with the Optimized Link State Routing (OLSR) protocol. © 2012 IEEE

"The critical infrastructure protection is a key point from a social and economic point of view. The FP7 MICIE project has achieved promising results in evaluating impact of failures and faults in interdependent physical systems, as critical infrastructures. In order to achieve this goal, the consortium developed an online risk prediction tool, able to acquire information by local physical systems through their control centres and obtain accurate and synchronised predictions using shared interdependency models. However, results of MICIE project are not enough in order to quickly and effectively react to all adverse events that may occur over the system of systems and, in particular, to face cyber threats and attacks. The EC FP7 CockpitCI project aims to improve resilience and dependability of CIs through the design and the implementation of an alerting system that provides to CI operators an efficient tool to support them in the prevention of cyber attacks impact on real systems and in the implementation of possible consequence containment strategies in case of attack.. Keywords: critical infrastructure protection; SCADA systems; cyber attacks; countermeasures; detection strategies; reaction strategies; critical infrastructures; online risk prediction; infrastructure resilience; infrastructure dependability; alerting systems; containmen

This paper presents an algorithm able to estimate heartbeat parameters, based on a QRS complex detection. The proposed algorithm demonstrates to be able to recognize heartbeat parameters even in highly noisy situations, i.e. where the ECG signal is extremely disturbed. Furthermore the algorithm was tested on real ECG signals generated by a so called Wearable Unit, a complex bio-signals sensor being developed by STMicroelectronics within the Bravehealth ICT FP7 EU funded project.