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Browsing by Author "Asorey Cacheda, R."

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    Deployment of Air Quality Monitoring Sensors over a Delay Tolerant Mobile Ad-Hoc Network in Public Transportation Systems
    (IEEE Computer Society, 2018-09-27) Asorey Cacheda, R.; Garcia Sanchez, A. J.; Zúñiga Cañón, Claudia Liliana; Marco Jornet, P.; Moreno Riquelme, P. A.; Garcia Haro, J.
    Poor air quality in urban environments is one of the major problems of modern cities. This paper presents a crowd-sensing approach that leverages the mobility of public transportation to monitor air quality in different inner-city areas over the course of a day. To meet this objective, we present a system architecture for the compilation of environmental data using low-cost mobile sensor devices equipped in public transport vehicles. Thus, the network topology has been designed to be robust and reliable, tackling connectivity problems through the use of delay-tolerant networks and Bluetooth ad-hoc gateways, and to be flexible, dealing with changing topologies through the use of mobile ad-hoc networks. The tests carried out in the public transportation of Cartagena (Spain) show the feasibility of the proposed architecture for this vehicle to infrastructure service and the effectiveness of deploying a mobile measurement system instead of fixed stations, which is the usual solution for many smart cities.
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    Work in progress: Compilation of environmental data through portable low-cost sensors with delay-tolerant mobile ad-hoc networks
    (IEEE Computer Society, 2017-11-23) Zuñiga Cañon, Claudia L.; Asorey Cacheda, R.; Largo Ortiz, J.; Sinisterra González, A.
    Poor air quality in urban areas is becoming an important problem that needs to be addressed. This paper presents the system architecture of project Urb@nEcoLife for compilation of environmental data using low-cost data sensors. Although there are several proposals dealing with sensor networks, most of them focus on solving partial problems. Urb@nEcoLife is a comprehensive proposal that develops a low-cost hardware platform together with a software architecture and a custom network topology. In addition, its main contribution is the introduction of crowdsourcing to get a really useful system for users by providing them with alerts, advises, reports and forecasts. Urb@nEcoLife is in its initial stages of development. Currently, work is underway on the development of the network architecture and the integration of the sensing devices.

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