DocumentCode :
653215
Title :
The M2M Connectivity Framework: Towards an IoT Landscape
Author :
Shao-Wen Yang ; Yen-Kuang Chen
Author_Institution :
Intel Labs., Nat. Taiwan Univ., Taipei, Taiwan
fYear :
2013
fDate :
20-23 Aug. 2013
Firstpage :
572
Lastpage :
579
Abstract :
As the Internet, in due course, developed, more and more computing devices became connected, in particular mobile devices. The internet-of-things (IoT) is emerging and well underway, and the majority of internet traffic will be dominated by things rather than by computers built to fit the needs of humans. Connectivity is a prerequisite to machine-to-machine (M2M) communications featuring many-to-many, low-power, quality-of-service (QoS), fail over, multi-radio, multi-transport and orders of magnitude more nodes than the conventional counterpart, which makes management become extremely difficult. Development, adoption, and implementation of connectivity middleware are necessitated to facilitate the growth of M2M applications, and bring us closer to the IoT vision. The contribution of the paper is two-fold. First, it offers the methodological lessons learned for addressing the connectivity in the internet of things. Second, it provides insight for deploying an IoT platform in the real world for things of diverse nature.
Keywords :
Internet; Internet of Things; quality of service; Internet-of-things landscape; IoT landscape; M2M connectivity framework; computing devices; low-power; machine-to-machine communications; many-to-many; quality-of-service; Communication system security; IEEE 802.11 Standards; Internet; Local area networks; Quality of service; Security; Wireless communication; IoT; M2M; connectivity; framework; middleware;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/GreenCom-iThings-CPSCom.2013.108
Filename :
6682122
Link To Document :
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