1,720,962 research outputs found
MQ-Routing: Mobility-, GPS- and energy-aware routing protocol in MANETs for disaster relief scenarios
No full textMobile-Ad-Hoc-Networks (MANETs) are self-configuring networks of mobile nodes, which communicate through wireless links. The main issues in MANETs include the mobility of the network nodes, the scarcity of computational, bandwidth and energy resources. Thus, MANET routing protocols should explicitly consider network changes and node 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. Moreover, such scenarios entail strict requirements on the lifetime of the device batteries and on the reactivity to possibly frequent link failures. This work proposes a proactive routing protocol, named MQ-Routing, aimed at maximizing the minimum node lifetime and at rapidly adapting to network topology changes. The proposed protocol modifies the Q-Routing algorithm, developed via Reinforcement Learning (RL) techniques, by introducing: (i) new metrics, which account for the paths availability and the energy in the path nodes, and which are dynamically combined and adapted to the changing network topologies and resources; (ii) a fully proactive approach to assure the protocol usage and reactivity in mobile scenarios. Extensive simulations validate the effectiveness of the proposed protocol, through comparisons with both the standard Q-Routing and the Optimized Link State Routing (OLSR) protocols. © 2012 Elsevier B.V. All rights reserved
A dynamic load balancing algorithm for Quality of Service and mobility management in next generation home networks
No full textHeterogeneity 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
Load balancing strategy in heterogeneous meshed home access network
No full textToday???s homes are equipped with a multitude of devices using several communication technologies such as Ethernet, Wi-fi, Power Line Communications and Optical Wireless Communications forming a heterogeneous network environment. User???s needs are changing towards applications requiring high transmission speeds such as 3D gaming, enhanced interactivity, virtual reality, high definition video. Each of those applications puts several constraints on the capabilities of the network to guarantee requirements on the quality of service (QoS). This document proposes a novel solution for load balancing in multi-technology meshed networks in order to achieve QoS requirements for all applications running in the home environment. Formulating the problem as a Multi-Commodity Flow, resolving it with a column generation approach that uses Lagrangean Relaxation and Dijkstra algorithm, the effective computational complexity of the load balancing problem is decreased respect to a standard linear programming solution. Because of home gateway limited computational power and energy considerations, the linear programming solution is not feasible in home environment
A proactive link-failure resilient routing protocol for MANETs based on reinforcement learning
No full textMobile-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
An electrocardiogram (ECG) signal processing algorithm for heart parameters estimation based on qrs complex detection
No full textThis 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
Detection and impact of cyber attacks in a critical infrastructures scenario: the CockpitCI approach
No full textDetection of and reaction to cyber attacks in a critical infrastructures scenario: The CockpitCI apporach
No full textThe protection of the national infrastructures is one of the main issues for national and international security. The FP7 MICIE project has achieved promising results by developing a secure online software architecture and by sharing information on a real time basis among local risk predictors, in order to obtain accurate and synchronized 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 attacks. The EC FP7 CockpitCI project aims to improve the resilience and the dependability of CIs through the design and the implementation of an Alerting System that provides to CI operators an efficient tool to support them: (i) in the prevention of cyber attacks and (ii) in the implementation of consequence containment strategies in case of attack. Copyright© (2012) by CAL-TEK S.r.l
Detection of and Reaction to Cyber Attacks in a Critical Infrastructures Scenario: The Cockpit-CI Approach
No full textThe Bravehealth Software Architecture for the Monitoring of Patients Affected by CVD
No full textThe Bravehealth project is a large scale Integrated
Project (IP) launched in the 7th Framework Programme.
Bravehealth proposes a patient-centric vision to Cardio
Vascular Disease (CVD) management and treatment,
providing people already diagnosed as subjects at risk with a
sound solution for continuous and remote monitoring and real
time prevention of malignant events. Mainly, this paper
describes the BVH Software Architecture. The role and the
rationale behind the various system components is widely
explained. The set of adopted technological solutions is
presented and, finally, it is shown how the architecture
succeeds in achieving a flexible, scalable and efficient system
able to cope with many different medical scenarios
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