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Antonio Mario Caruso
Ruolo
Ricercatore
Organizzazione
Università del Salento
Dipartimento
Dipartimento di Matematica e Fisica "Ennio De Giorgi"
Area Scientifica
Area 01 - Scienze matematiche e informatiche
Settore Scientifico Disciplinare
INF/01 - Informatica
Settore ERC 1° livello
Non Disponibile
Settore ERC 2° livello
Non Disponibile
Settore ERC 3° livello
Non Disponibile
Mobile social networks represent a convergence between mobile communications and service-oriented paradigms, which are supported by the large availability and heterogeneity of resources and services offered by recent mobile devices. In particular, the service-oriented nature of MSN is in the capability of sharing resources and services among devices that lie in proximity and that opportunistically interact. Service discovery is thus of primary importance to sustain the most intimate mechanisms of MSN. Despite of their centrality, studies on service discovery in MSN are still in their youth. We contribute to frame the results achieved so far and to identify some possible perspectives of the research in this field, by giving a transversal review of the scientific outcomes in the different steps of service discovery, namely advertisement, query, selection and access.
Underwater communications through acoustic modems rise several networking challenges for the Underwater Acoustic Sensor Networks (UASN). In particular, opportunistic routing is a novel but promising technique that can remarkably increase the reliability of the UASN, but its use in this context requires studies on the nature of mobility in UASN. Our goal is to study a real-world mobility dataset obtained from the Argo project. In particular, we observe the mobility of 51 free-drifting floats deployed on the Mediterranean Sea for approximately one year and we analyze some important properties of the underwater network we built. Specifically, we analyze the contact-time, inter-contact time as well density and network degree while varying the connectivity degree of the whole dataset. We then consider three known routing algorithms, namely Epidemic, PROPHET and Direct Delivery, with the goal of measuring their performance in real conditions for USAN. We finally discuss the opportunities arising from the adoption of opportunistic routing in UASN showing that, even in a very sparse and strongly disconnected network, it is still possible to build a limited but working networking framework.
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