Ching-Chang Wong1 , Yih-Guang Jan1 , Yang-Han Lee This email address is being protected from spambots. You need JavaScript enabled to view it.1, Po-Jen Chuang1 , Shiann-Tsong Sheu2 , Wei-Tsong Lee1 , Huan-Chao Keh3 , Chih-Yung Chang3 , Kuei-Ping Shih3 , Timothy K. Shih3 , Hsien-Wei Tseng1 , Jheng-Yao Lin1 and Nai-Kuei Wu1

1Department of Electrical Engineering, Tamkang University, Tamsui, Taiwan 251, R.O.C.
2Department of Communication Engineering, National Central University, Jungli, Taiwan 320, R.O.C.
3Department of Computer Science and Information Engineering, Tamkang University, Tamsui, Taiwan 251, R.O.C.


Received: March 17, 2006
Accepted: October 16, 2006
Publication Date: March 1, 2008

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This paper discusses the critical technologies that are used in the development of optical wireless communication network, in the protection of the safety, and in the provision of convenience to the vision-impaired population. The technologies of the realizations of the hardware, firmware, decision algorithms, communication protocols and application programs developed for Sensor Nodes in optical wireless communication network are applied for the Smart Blind-Guidance Network System. In addition, this technology is aided by the assistant equipment (cane) for the blind and the communication interface protocol for the computer, which is specifically designed for the blind. The smart blind-guidance system is a combination of optics, microprocessor, voice acoustics, and wireless electronics. This system also possesses the functions of distance measuring and environment parameters, collecting to finish a complete Pre-warning, Guide, Alarm, Recovery and Detection (GUARD) guide system for the blind and also completing a locating and addressing system.

Keywords: Wireless Optical System, Guide System, Smart Blind-guidance Cane, Sensor Node


  1. [1] LAN/MAN Standards Committee of the IEEE Computer Society, “Standard for Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low Rate Wireless Personal Area Networks (LR-WPANs) – D18,” (2003).
  2. [2] Wei Ye, John Heidemann, Deborah Estrin, “An Energy-Efficient MAC Protocol for Wireless Sensor Networks,” INFOCOM 2002, Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE, Vol. 3, pp. 1567 1576 (2002).[3] Gegory J. Pottie and William J. Kaiser, “Embedding the Internet: Wireless Integrated Network Sensors,” Communications of the ACM, Vol. 43, pp. 5158 (2000).
  3. [4] Katayoun Sohrabi and Gregory J. Pottie, “Performance of a Novel Self-Organization Protocol for Wireless Ad Hoc Sensor Networks,” Proceedings of the IEEE 50th Vehicular Technology Conference, pp. 12221226 (1999).
  4. [5] Duarte-Melo, E. J. and Mingyan Liu, “Analysis of Energy Consumption and Lifetime of Heterogeneous Wireless Sensor Networks,” Global Telecommunications Conference, 2002. GLOBECOM ‘02. IEEE, Vol. 1, pp. 2125 (2002).
  5. [6] Hill, J., BounadoMa, P. and Culler, D., “Active Message Communication for Tiny Network Sensors,” Proceedings of the Twentieth Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM 2001) (2001).
  6. [7] TinyOS,, Berkeley NEST


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