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Erschienen in:
2014 | OriginalPaper | Buchkapitel
M2M Traffic Models and Flow Types in Case of Mass Event Detection
verfasst von : Alexander Paramonov, Andrey Koucheryavy
Erschienen in: Internet of Things, Smart Spaces, and Next Generation Networks and Systems
Verlag: Springer International Publishing
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The Internet of Things (IoT) is the new ITU-T concept for the network development [1, 2]. The IoT is based today on the Ubiquitous Sensor Network (USN) [3, 4] and M2M decisions [5, 6]. So the USN and M2M traffic models should be studied well. The USN traffic models were considered for telemetry applications in [7], for medical applications in [8], for image applications in [9]. There are many M2M traffic model investigation papers too [10, 11, 12]. The M2M traffic models and flow types definition in the case of mass event detection are the investigation goal of this paper. The anti-persistent flow type for M2M traffic in the case of mass event detection is identified. The results can be used for Recommendation Q.3925 “Traffic flow types for testing quality of service parameters on model networks” modification.