DocumentCode
264530
Title
NITOS BikesNet: Enabling Mobile Sensing Experiments through the OMF Framework in a City-Wide Environment
Author
Kazdaridis, Giannis ; Stavropoulos, Donatos ; Maglogiannis, Vasilis ; Korakis, T. ; Lalis, Spyros ; Tassiulas, L.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Thessaly, Volos, Greece
Volume
1
fYear
2014
fDate
14-18 July 2014
Firstpage
89
Lastpage
98
Abstract
In this paper we present the NITOS Bikes Net platform, a city-scale mobile sensing infrastructure that relies on bicycles of volunteer users. NITOS Bikes Net employs a custom-built embedded node that can be equipped with different types of sensors, and which can be easily mounted on a bicycle in order to opportunistically collect environmental and WiFi measurements in different parts of the city. Experimenters can remotely reserve and control the sensor nodes on bicycles as well as collect/visualize their measurements via the OMF/OML framework, which was extended in order to handle the intermittent connectivity and disconnected operation of the mobile nodes. We also provide a performance analysis of our node prototype in terms of sensing latency, end-to-end data transmission capability and power consumption, and report on a first experiment that was performed using NITOS Bikes Net in the city of Volos, Greece.
Keywords
bicycles; computerised instrumentation; mobile computing; Greece; NITOS BikesNet platform; OMF measurement library; OMF/OML framework; Volos; city-scale mobile sensing infrastructure; control and management framework; custom-built embedded node; end-to-end data transmission capability; mobile sensing experiments; power consumption; sensing latency; Bicycles; Cities and towns; Mobile communication; Sensors; Servers; Smart phones; Wireless sensor networks; Delay Tolerant Network; Mobile Sensing; NITOS Testbed; Networks Experimentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Mobile Data Management (MDM), 2014 IEEE 15th International Conference on
Conference_Location
Brisbane, QLD
Type
conf
DOI
10.1109/MDM.2014.17
Filename
6916908
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