References

Anonymous, 2015. Li-Fi(visible light LED lighting wireless technology) key patent analysis. INI R&C, Japan.

Anonymouse, 2015. Global by region Li-Fi technology market growth research-related materials. Markets and Markets, Pune, India.

Cisco, 2015. Cisco visual networking index: Forecast and methodology 2012-2017. Cisco Systems, San Jose, California.

Colin, R.J., 2010. Visible light illuminates a new approach for wireless comm's. EE Times, San Francisco, California. http://www.eetimes.com/document.asp?doc_id=1256372

Dong, K.K., 2014. The prospect and strategy of 5G mobile communication technologies. The Institute of Electronics Engineers, ‎Piscataway, New Jersey.

Hee-Suk, K., 2016. A study on security system of 4G Network system. J. Inst. Internet Broadcast. Commun., 16: 15-23.

Hwan, S.P., 2016. Industry Trends of Li-FI and Beacon. Hayeon Publishing , Incheon, South Korea,.

Jang, Y.H., 2016. A proposal for innovative app developing tool. J. Convergence Culture Technol., 2: 41-44.

Jeon, D.K. and Y. Lee, 2016. Performance evaluation of WiMedia UWB MAC protocol algorithm supporting mixed video and shipboard control data traffic. Intl. J. Internet Broadcast. Commun., 8: 99-109.
Direct Link  |  

KCC., 2014. Smart media service usage survey. Korea Communications Commission, South Korea, East Asia.

Kim, S.J., H. Lee and M. Lee, 2015. A study of 4G network for security system. Intl. J. Adv. Culture Technol., 3: 77-86.
CrossRef  |  Direct Link  |  

Kim, Y.M., L.E.E. WooSuk, O.S. Kwon, K. Jung and J.Y. Lee, 2016. Adaptive method for selecting cluster head according to the energy of the sensor node. Intl. J. Adv. Cult. Technol., 4: 19-26.
Direct Link  |  

Kwon, M.R., 2017. The impact of emotional intelligence and self-esteem on internet and smart phone addiction, sports activities and reading of youth. Intl. J. Internet Broadcasting Commun., 9: 35-41.
Direct Link  |  

Kyu, K., 2014. 5G mobile communication technology trends based on the millimeter-wave. Electronics and Telecommunications Research Institute, New York, USA.

Patcharaprakiti, N., K. Tripak and J. Saelao, 2015. Load modeling based on system identification with kalman filtering of electrical energy consumption of residential air-conditioning. Intl. J. Adv. Smart Convergence, 4: 45-53.
CrossRef  |  Direct Link  |