Title: Intelligent adaptation for UEC video/voice over IP with access control

Authors: Bao Rong Chang; Chi-Ming Chen; Chien-Feng Huang; Hsiu-Fen Tsai

Addresses: Department of Computer Science and Information Engineering, National University of Kaohsiung, 700, Kaohsiung University Rd., Nanzih Dist., Kaohsiung 81148, Taiwan ' Department of Computer Science and Information Engineering, National University of Kaohsiung, 700, Kaohsiung University Rd., Nanzih Dist., Kaohsiung 81148, Taiwan ' Department of Computer Science and Information Engineering, National University of Kaohsiung, 700, Kaohsiung University Rd., Nanzih Dist., Kaohsiung 81148, Taiwan ' Department of Marketing Management, Shu-Te University, 59, Hengshan Rd., Yanchao Dist., Kaohsiung 82445, Taiwan

Abstract: In this paper, we introduce a high-performance real-time video/voice over IP (VVoIP) application implemented by Ubuntu enterprise cloud (UEC), denoted UEC-VVoIP. It is much easer to use than the earlier work of P2P connection VVoIP (called P2P-VVoIP) does. This is because user does not need to key-in a real IP and a web interface using TCP-based RMTP protocol achieves a friendly GUI. Furthermore, computation load has been moved to cloud computing server rather than in user device. Thus, this approach reduces computation load and power consumption dramatically at user device. Meanwhile, we have employed adaptive network-based fuzzy inference system (ANFIS) together with particle swarm optimisation (PSO) to properly tune seamless handoff and analyse network traffic over time. As a result, it takes around 1.589 sec for the seamless handoff among different base stations in wireless mobile network. Cloud computing server with access control accomplishes rapid face recognition and fingerprint identification successfully within 2.15 seconds to identify the permitted user. Finally, the experiment result shows that the performance of our proposed approach is better than the earlier work of Hadoop-VVoIP and P2P-VVoIP.

Keywords: video and voice over IP; VVoIP; Ubuntu enterprise cloud; UEC; RMTP; P2P-VVoIP; UEC-VVoIP; cloud computing; access control; adaptive neural fuzzy inference systems; ANFIS; particle swarm optimisation; PSO; seamless handoff; network traffic analysis; wireless networks; mobile networks; face recognition; fingerprint identification; neural networks; fuzzy logic.

DOI: 10.1504/IJIIDS.2014.060463

International Journal of Intelligent Information and Database Systems, 2014 Vol.8 No.1, pp.64 - 80

Received: 22 Jan 2013
Accepted: 27 Sep 2013
Published online: 13 May 2014 *

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