Open Access
Subscription Access
A Novel Real-Time Method for Moving Vehicle Detection
Abstract
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.
Keywords
Internet of Things (IoT); IOT perception layer; Cooperative and converged framework
Citation Format:
Haihui Wang, Zhihong Sun, Shuangyu Chen, "A Novel Real-Time Method for Moving Vehicle Detection," Journal of Internet Technology, vol. 17, no. 7 , pp. 1501-1509, Dec. 2016.
Haihui Wang, Zhihong Sun, Shuangyu Chen, "A Novel Real-Time Method for Moving Vehicle Detection," Journal of Internet Technology, vol. 17, no. 7 , pp. 1501-1509, Dec. 2016.
Full Text:
PDFRefbacks
- There are currently no refbacks.
Published by Executive Committee, Taiwan Academic Network, Ministry of Education, Taipei, Taiwan, R.O.C
JIT Editorial Office, Office of Library and Information Services, National Dong Hwa University
No. 1, Sec. 2, Da Hsueh Rd., Shoufeng, Hualien 974301, Taiwan, R.O.C.
Tel: +886-3-931-7314 E-mail: jit.editorial@gmail.com