Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-6821
Main Title: A Framework for Handling Heterogeneous M2M Traffic
Author(s): Elmangoush, Asma
Corici, Andreea Ancuta
Steinke, Ronald
Corici, Marius
Magedanz, Thomas
Type: Article
Language Code: en
Abstract: Sensors, actuators and devices that compose the Internet of Things (IoT) world are becoming more diverse every day in terms of capabilities and amount of generated traffic. Current Machine-to-Machine (M2 M) communication standardization efforts try to formalize the interfaces between M2 M nodes based on the perspective of exchanging uniform small data size with low sampling rate only. However, many devices will require support for more heterogeneous traffic patterns, with different network capacity. This paper introduces a communication concept for supporting gracefully a heterogeneous set of devices. This paper analyses the effect of traffic size in M2 M transactions and propose a concept to adapt gracefully to support heterogeneous traffic patterns in M2 M systems. To prove its feasibility, the concept is exemplified on top of oneM2 M architecture and implemented as part of the Fraunhofer FOKUS OpenMTC toolkit. Additionally, the concept was applied to a deployment in an E-Health pilot and practical measurements during functional evaluation are reported.
URI: https://depositonce.tu-berlin.de//handle/11303/7631
http://dx.doi.org/10.14279/depositonce-6821
Issue Date: 2015
Date Available: 19-Apr-2018
DDC Class: 004 Datenverarbeitung; Informatik
Subject(s): framework
M2M traffic
e-health
communication management
telemonitoring
License: https://creativecommons.org/licenses/by-nc-nd/4.0/
Journal Title: Procedia Computer Science
Publisher: Elsevier BV
Publisher Place: Red Hook, NY
Volume: 63
Publisher DOI: 10.1016/j.procs.2015.08.319
Page Start: 112
Page End: 119
ISSN: 1877-0509
Appears in Collections:FG Architekturen der Vermittlungsknoten » Publications

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