@inbook{9b69d4f3dc9440958b69b92c22b3b351,
title = "OMA LWM2M in a holistic architecture for the Internet of Things",
abstract = "Wireless Sensor Networks (WSNs) allow applications to interact with the physical world using nodes in an Internet of Things (IoT). Application level protocols such as the Constrained Application Protocol (CoAP) and data models such as IPSO Smart Objects and the Open Mobile Alliance Lightweight Specification (OMA LWM2M) have the potential to provide greater application interoperability and to ease the difficulties imposed by the heterogeneous nature, limited development environments and interfaces of existing solutions. This paper describes an architecture using a tuple-space based library for the flow of data from sensors to applications with defined service abstractions. It also compares the OMA LWM2M Information Model and the DMTF Common Information Model. It presents a 'C' implementation of the OMA LWM2M model on our tuple-space running on the Contiki3.0 OS and considers the effectiveness of our architecture and its integration with existing CoAP and OMA LWM2M implementations.",
keywords = "Data Model, IOT, OMA LWM2M, Tuple Space, Wireless Sensor Networks",
author = "David Tracey and Cormac Sreenan",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017 ; Conference date: 16-05-2017 Through 18-05-2017",
year = "2017",
month = aug,
day = "1",
doi = "10.1109/ICNSC.2017.8000091",
language = "English",
series = "Proceedings of the 2017 IEEE 14th International Conference on Networking, Sensing and Control, ICNSC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "198--203",
editor = "Antonio Guerrieri and Giancarlo Fortino and Vasilakos, \{Athanasios V.\} and MengChu Zhou and Zofia Lukszo and Carlos Palau and Antonio Liotta and Andrea Vinci and Francesco Basile and Fanti, \{Maria Pia\}",
booktitle = "Proceedings of the 2017 IEEE 14th International Conference on Networking, Sensing and Control, ICNSC 2017",
address = "United States",
}