摘要
As one major part of the Internet of Things, the perception layer plays an important role in cognizing, sensing and controlling the physical environment. It is a fundamental task to design a compatible and extensible IoT perception layer network framework, which could ensure reliability of IoT perception layer. In this paper, based on thorough investigation on perception layer network topology, a new framework of perception layer based on convergence and cooperation is presented. The heterogeneity of network topology in perception layer based on scenarios and applications is analyzed thoroughly. Then a cooperative and converged framework and one information security framework as example are carefully described, which shows that the proposed framework could simplify the perception layer design in heterogeneous networks and facilitate application functionality extension. Finally, some conclusion and future work is presented.
延伸閱讀
- Lin, C. T. (2020). Vehicle Detection: From Detector Design to Cross-Domain Adaptation [doctoral dissertation, National Tsing Hua University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0016-2502202114195755
- 林哲宇（2014）。Vision-based Vehicle Detection and Tracking for Highway Driving〔碩士論文，中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu201400566
- 謝易軒（2014）。Real obstacle detection for autonomous vehicle〔碩士論文，國立中央大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0031-0412201512013309
- 陳志成（2009）。Automatic stolen vehicle detection system〔碩士論文，國立臺灣師範大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0021-1610201315161857
- 許國榮（2009）。Side Vehicle Detection with On-Board Real-Time Vision〔碩士論文，國立臺北科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0006-2308200900441000