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Smart cities offer services to their inhabitants which make everyday life easier beyond providing a feedback channel to the city administration. For instance, a live timetable service for public transportation or real-time traffic jam notification can increase the efficiency of travel planning substantially. Traditionally, the implementation of these smart city services require the deployment of some costly sensing and tracking infrastructure. As an alternative, the crowd of inhabitants can be involved in data collection via their mobile devices. This emerging paradigm is called mobile crowd-sensing or participatory sensing. In this paper, we present our generic framework built upon XMPP (Extensible Messaging and Presence Protocol) for mobile participatory sensing based smart city applications. After giving a short description of this framework we show three use-case smart city application scenarios, namely a live transit feed service, a soccer intelligence agency service and a smart campus application, which are currently under development on top of our framework.

End-to-end optimised Quality of Service (QoS) and its specific declination for multimedia applications with the end-user Perceived Quality of Service (PQoS) is nowadays a trendy topic in the literature. Many different techniques and approaches have been proposed, which are in general focusing on specific weak technical aspects of the transmission chain in the considered scenario. The end-toend optimisation of a complete system system is however more complex and its practical realisation remains to be achieved, especially with the added constraint to be transparently integrated in existing legacy systems so as to not perturbate their current modes of operation. In this paper, we propose an architecture set-up within This work has been carried thanks to INFSO-ICT-214625 OPTIMIX project, which is partially funded by the European Commission within the EU 7th Framework Programme and Keywords End-to-end optimisation • High fidelity simulation • Quality of Service • Joint source channel (de)coding • Multimedia transmission • Point to multi-point video delivery • Cross-layer design • IPv6 mobility • Adaptive medium access control

A major drawback of nearly all currently existing digital signature schemes is their computational requirements. Fast algorithms exist for PCs or hardware accelerated smart cards, but not for low-end embedded devices which are found in e.g. sensor networks. Such algorithms are also necessary for introduction of inexpensive signature creation devices to the civil sphere. Our purpose is to analyze a class of problems that are based on graph theoretic problems instead of modular arithmetics, and to provide very fast signature creation for embedded systems at the cost of somewhat longer signatures.

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