Browse > Article
http://dx.doi.org/10.9717/kmms.2016.19.7.1166

A Context-based Adaptive Multimedia Streaming Scheme in IoT Environments  

Seong, Chaemin (School of Computer Science and Engineering, Kyungpook National University)
Hong, Seongjun (School of Computer Science and Engineering, Kyungpook National University)
Lim, Kyungshik (School of Computer Science and Engineering, Kyungpook National University/Software Technology Research Center (SWRC), Kyungpook National University)
Publication Information
Journal of Korea Multimedia Society / v.19, no.7, 2016 , pp. 1166-1178 More about this Journal
Abstract
In Internet of Things (IoT) environments, billions of interconnected devices and multimedia sensors generate a huge amount of multimedia traffic. Since the environment are in general deployed as a server-centric architecture wireless sensor networks could be bottlenecks between IoT gateways and IoT devices. The bottleneck causes high power consumption of the device and triggers very heavy network overload by transmission of sensing data. The deterioration could decrease the quality of multimedia streaming service due to delay, loss, and waste of device power. Thus, in this paper, we propose a context-based adaptive multimedia streaming scheme to support enhanced QoS and low power consumption in IoT environments. The goal of the scheme is to increase quality score per voltage of the streaming service, given an adaptation algorithm with context that are classified network and hardware such as throughput, RTT, and CPU usage. From the both context, the quality score per voltage is used in the comparison of a only network context-based adaptive multimedia streaming scheme, a fixed multimedia streaming and our scheme. As a result, we achieves a high improvement that means the quality score per voltage is increased up to about 4, especially in case of resolution change.
Keywords
IoT; Sensor Networks; IoT Context; Adaptive Multimedia Streaming;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions,” Journal of Future Generation Computer Systems, Vol. 29, No. 7, pp. 1645-1660, 2013.   DOI
2 C. Chiasserini and E. Magli, “Energy Consumption and Image Quality in Wireless Video-surveillance Networks,” Proceeding of 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, pp. 2357-2361, 2002.
3 D. Miorandi, S. Sicari, F.D. Pellegrini, and I. Chlamtac, “Internet of Things: Vision, Applications and Research Challenges,” Journal of Ad Hoc Networks, Vol. 10, No. 7, pp. 1497-1516, 2012.   DOI
4 K. Chang and J. Chen, “A Survey of Trust Management in WSNs, Internet of Things and Future Internet,” KSII Transactions on Internet and Information Systems, Vol. 6, No. 1, pp. 5-23, 2012.   DOI
5 L. Sanchez, J. Lanza, R. Olsen, M. Bauer, and M. Girod-Genet, “A Generic Context Management Framework for Personal Networking Environments,” Proceeding of 3rd Annual International Conference on Mobile and Ubiquitous Systems-Workshops, pp. 1-8, 2006.
6 G.D. Abowd, A.K. Dey, P.J. Brown, N. Davies, M. Smith, and P. Steggles, “Towards a Better Understanding of Context and Contextawareness,” Proceeding of 1st International Symposium on Handheld and Ubiquitous Computing, pp. 304-307, 1999.
7 S. Yanwei, Z. Guangzhou, and P. Haitao, “Research on the Context Model of Intelligent Interaction System in the Internet of Things,” Proceeding of International Symposium on IT in Medicine and Education, pp. 379-382, 2011.
8 S. Misra, M. Reisslein, and G. Xue, “A Survey of Multimedia Streaming in Wireless Sensor Network,” Journal of IEEE Communications Surveys & Tutorials, Vol. 10, No. 4, pp. 18-39, 2008.   DOI
9 A. Floris and L. Atzori, “Quality of Experience in the Multimedia Internet of Things: Definition and Practical Use-cases,” Proceeding of IEEE International Conference on Communication Workshop, pp. 1747-1752, 2015.
10 P. Martinez-Julia, E.T. Garcia, J.O. Murillo, and A.F. Skarmeta, “Evaluating Video Streaming in Network Architectures for the Internet of Things,” Proceeding of Seventh International Conference on IEEE Innovative Mobile and Internet Services in Ubiquitous Computing, pp. 411-415, 2013.
11 Google's Project Brillo, http://developers.google.com/brillo/ (accessed Feb., 12, 2016).
12 D. Shin and C. Kim, “Data Compression Method for Reducing Sensor Data Loss and Error in Wireless Sensor Networks,” Journal of Korea Multimedia Society, Vol. 19, No. 2, pp. 360-374, 2016.   DOI
13 S. Persia and D. Cassioli, “IPv4 Wireless Multimedia Sensor Networks,” Proceeding of Third International Workshop on Software Engineering for Sensor Network Applications, pp. 58-63, 2012.
14 IoTivity, https://www.iotivity.org/ (accessed Feb., 12, 2016).
15 Apple Homekit, https://developer.apple.com/homekit/ (accessed Feb., 12, 2016).
16 J. Kim and J.W. Lee, “OpenIoT: An Open Service Framework for the Internet of Things,” Proceeding of 2014 IEEE World Forum on Internet of Things, pp. 89-93, 2014.
17 J. Swetina, “Toward a Standardized Common M2M Service Layer Platform: Introduction to oneM2M,” Journal of IEEE Wireless Communications, Vol. 21, No. 3, pp. 20-26, 2014.   DOI
18 Motion, http://www.lavrsen.dk/foswiki/bin/view/Motion/WebHome (accessed Feb., 12, 2016).
19 P. Balamuralidhara, P. Misra, and A. Pal, “Software Platforms for Internet of Things and m2m,” Journal of the Indian Institute of Science, Vol. 93, No. 3, pp. 487-498, 2013.