Developing Local Association Network Based IoT Solutions for Body Parts Tagging and Tracking

Authors:
ZongWei Luo;Sam Chan;Mary Cheung;ShuiHua Han;Martin Lai;Zhongjun Luo;Kwok So;James Ting;George Tipoe;Patrick Wong;Tianle Zhang
Affiliations:
The University of Hong Kong, China;The University of Hong Kong, China;The University of Hong Kong, China;Xiamen University, China;The University of Hong Kong, China;FDA, USA;The University of Hong Kong, China;The University of Hong Kong, China;The University of Hong Kong, China;The University of Hong Kong, China;BUPT, China
Venue:
International Journal of Systems and Service-Oriented Engineering
Year:
2010

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Abstract

Traditional Internet is commonly wired with machine to machine persistent connections. Evolving towards mobile and wireless pervasive networks, Internet has to entertain dynamic, transient, and changing interconnections. The vision of the Internet of Things furthers technology development by creating an interactive environment where smart objects are connected and can sense and react to the environment. Adopting such an innovative technology often requires extensive intelligence research. A major value indicator is how the potentials of RFID can translate into actions to improve business operational efficiency Luo et al., 2008. In this paper, the authors will introduce a local association network with a coordinated P2P message delivery mechanism to develop Internet of Things based solutions body parts tagging and tracking. On site testing and performance evaluation validate the proposed approach. User feedback strengthens the belief that the proposed approach would help facilitate the technology adoption in body parts tagging and tracking.