Abstract
Nowadays, providing Internet of Things (IoT) environments with service level guarantee is a challenging task. We describe in this paper a service level based IoT architecture that enables an IoT Service Level Agreement (iSLA) achievement between an IoT Service Provider and an IoT Client. This IoT SLA specifies the requirements of an IoT service in a specific application domain (e-health, smart cities, etc.). In order to guarantee these requirements, QoS mechanisms should be implemented within the IoT architecture. Thus, we propose an adaptation of the IEEE 802.15.4 slotted CSMA/CA mechanism to ensure the requirements of an IoT e-health service. Our approach called QBAIoT (QoS based Access for IoT) consists in creating different contention access periods corresponding to different specified traffic classes. Each of these periods within the QoS based adapted IEEE 802.15.4 superframe is specific for a traffic type. A QoS based contention access period called QoS CAP is configured with a number of slots during which only IoT objects belonging to the same QoS class can send data.
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References
Nordrum, A.: Popular internet of things forecast of 50 billion devices by 2020 is outdated. IEEE Spectrum, August 2016
Mell, P., Grance, T.: The NIST definition of cloud computing, 2 p. NIST, July 2009. (Version 15)
Banafa, A.: Definition of fog computing. IBM, August 2014. https://www.ibm.com/blogs/cloud-computing/2014/08/fog-computing. Accessed 17 Mar 2018
ISO/IEC JTC 1, Internet of Things, Preliminary Report 2014, 17 p.
Question 28/16 – Multimedia framework for e-health applications, International Telecommunication Union. http://www.itu.int/ITU-T/studygroups/com16/sg16-q28.html. Accessed 17 Mar 2018
4G Americas: Cellular technologies enabling the internet of things. Whitepaper (2015)
IEEE Standard for Local and Metropolitan Area Networks, Low-Rate Wireless Personal Area Networks, 311 p. IEEE Computer Society, September 2011
LoRa Alliance: A technical overview of LoRa® and LoRaWAN™ (2015)
Nath, S., Aznabi, S., Islam, N., Faridi, A., Qarony, W.: Investigation and performance analysis of some implemented features of the ZigBee protocol and IEEE 802.15.4 Mac specification. Int. J. Online Eng. (iJOE) 13, 19 (2017)
Thubert, P., Bormann, C., Toutain, L., Cragie, R.: IPv6 over low-power wireless personal area network (6LoWPAN) routing header. In: IETF RFC, 37 p., April 2017
AlSharqi, K., Abdelbari, A., Abou-Elnour, A., Tarique, M.: ZigBee based wearable remote healthcare monitoring system. Int. J. Wirel. Mobile Netw. (IJWMN) 6, 15 (2014)
Fernandez-Lopez, H., Afonso, J.A., Coreeia, J.H., Simoes, R.: ZigBee-Based Remote Patient Monitoring, 6 p.
Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: Internet of things (IoT): a vision, architectural elements, and future directions. Futur. Gener. Comput. Syst. 29, 16 (2013)
Khalil, A., Mbarek, N., Togni, O.: Service Level Guarantee Framework for IoT Environments, 8 p. (2017)
Kirsche, M.: IEEE 802.15.4-Standalone. https://github.com/michaelkirsche/IEEE802154INET-Standalone. Accessed 17 Mar 2018
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Khalil, A., Mbarek, N., Togni, O. (2019). IoT Service QoS Guarantee Using QBAIoT Wireless Access Method. In: Renault, É., Boumerdassi, S., Bouzefrane, S. (eds) Mobile, Secure, and Programmable Networking. MSPN 2018. Lecture Notes in Computer Science(), vol 11005. Springer, Cham. https://doi.org/10.1007/978-3-030-03101-5_15
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DOI: https://doi.org/10.1007/978-3-030-03101-5_15
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