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Developing Local Association Network Based IoT Solutions for Body Parts Tagging and Tracking
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Author(s): 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)and George Tipoe (The University of Hong Kong, China)
Copyright: 2012
Pages: 22
Source title:
Theoretical and Analytical Service-Focused Systems Design and Development
Source Author(s)/Editor(s): Dickson K. W. Chiu (Dickson Computer Systems and The Hong Kong Polytechnic University, Hong Kong)
DOI: 10.4018/978-1-4666-1767-4.ch005
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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.
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