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

ZongWei Luo, Martin Lai, Mary Cheung, ShuiHua Han, Tianle Zhang, Zhongjun Luo, James Ting, Patrick Wong, Sam Chan, Kwok So and George Tipoe
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ZongWei Luo: The University of Hong Kong, China
Martin Lai: The University of Hong Kong, China
Mary Cheung: The University of Hong Kong, China
ShuiHua Han: Xiamen University, China
Tianle Zhang: BUPT, China
Zhongjun Luo: FDA, USA
James Ting: The University of Hong Kong, China
Patrick Wong: The University of Hong Kong, China
Sam Chan: The University of Hong Kong, China
Kwok So: The University of Hong Kong, China
George Tipoe: The University of Hong Kong, China

International Journal of Systems and Service-Oriented Engineering (IJSSOE), 2010, vol. 1, issue 4, 42-64

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.

Date: 2010
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