Data traces, consisting of logs about the use of mobile and wireless networks, have been used to study the statistics of encounters between mobile nodes, in an attempt to predict the performance of opportunistic networks. Understanding the role and potential of mobile devices as relaying nodes in message dissemination and delivery depends on the knowledge about patterns and number of encounters among nodes. Data traces about the use of WiFi networks are widely available and can be used to extract large datasets of encounters between nodes. However, these logs only capture indirect encounters between nodes, and the resulting encounters datasets might not realistically represent the spatial and temporal behaviour of nodes. This paper addresses the impact of overlapping between the coverage areas of different Access Points of WiFi networks in extracting encounters datasets from the usage logs. Simulation and real-world experimental results show that indirect encounter traces extracted directly from these logs strongly underestimate the opportunities for direct node-to node message exchange in opportunistic networks.
On the impact of overlapping access points in detecting node encounters / K. Keramat Jahromi, M. Filipe, M. Adriano - In: Ad Hoc Networking Workshop (MED-HOC-NET), 2015 14th Annual MediterraneanPrima edizione. - Ebook. - [s.l] : IEEE, 2015 Aug 03. - ISBN 9781467373067. - pp. 1-7 (( Intervento presentato al 14. convegno Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET) tenutosi a Vilamoura nel 2015.
|Titolo:||On the impact of overlapping access points in detecting node encounters|
KERAMAT JAHROMI, KARIM (Primo)
|Parole Chiave:||opportunistic networks; mobility modeling; encounter traces; WiFi networks; overlapping in coverage area|
|Settore Scientifico Disciplinare:||Settore INF/01 - Informatica|
|Data di pubblicazione:||3-ago-2015|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1109/MedHocNet.2015.7173169|
|Tipologia:||Book Part (author)|
|Appare nelle tipologie:||03 - Contributo in volume|
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