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<<A>> proposal of efficient routing techniques and intelligent vehicular traffic management in the smart cities context, through distributed wireless networks

dc.contributor.authorSottile, Cesare
dc.contributor.authorPantano, Pietro Salvatore
dc.contributor.authorDe Rango, Floriano
dc.contributor.authorMarano, Salvatore
dc.date.accessioned2019-09-18T10:23:58Z
dc.date.available2019-09-18T10:23:58Z
dc.date.issued2016-02-02
dc.identifier.urihttp://hdl.handle.net/10955/1445
dc.descriptionScuola di Dottorato "Archimede"in Scienze, Comunicazione e Tecnologie, indirizzo:Scienze e Tecnologie dei Sistemi Complessi, Ciclo XXVIII, a.a.2015-2016en_US
dc.description.abstractIn this thesis, the design of e cient techniques for routing protocol suitable to Vehicular Ad-hoc NETworks (VANETs) has been pro- posed. In particular, the aims of the proposed protocols are to reduce interference issues, due to the data transmissions in wireless environ- ment. The proposed protocols use time series prediction models and also multi-objective metric, based on the evaluation of co-channel in- terference levels, end-to-end delay, and link duration probability along the di erent links from sources towards destinations. These param- eters are modelled through an optimization problem. The key fac- tors are to exploit the advantages available to the Standard 802.11p, based on a dynamic allocation mechanism of the DSRC spectrum, aimed at the reduction of the co-channel interference and the maxi- mization of the link duration probability (two key issues in vehicular environments). Another topic discussed in this thesis is related to the smart vehicular tra c management through VANETs infrastructure and communications(V2I and V2V). A distributed algorithm with the aim to build less congested path for the vehicles in a urban scenario has been developed. It is also considered the problem regarding to enhance air quality around the cities reducing the vehicles CO2 emis- sions. There are di erent causes related to the CO2 emissions such as the average travelled time spent by vehicles inside the city and their average speed. Hence, with a better tra c management the average time spent by the vehicles in the city will be considerably reduced as well as CO2 emissions. These results are demonstrated in a discrete event simulator by using also real tra c dataen_US
dc.description.sponsorshipUniversità della Calabriaen_US
dc.language.isoenen_US
dc.relation.ispartofseriesING-INF/03;
dc.subjectVehicular ad hoc networksen_US
dc.subjectTraffic managementen_US
dc.title<<A>> proposal of efficient routing techniques and intelligent vehicular traffic management in the smart cities context, through distributed wireless networksen_US
dc.typeThesisen_US


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