Journal of Multimedia Information System

Korea Multimedia Society (한국멀티미디어학회)
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Algorithms for Efficient Digital Media Transmission over IoT and Cloud Networking

  • Stergiou, Christos (Department of Applied Informatics, University of Macedonia) ;
  • Psannis, Kostas E. (Department of Applied Informatics, University of Macedonia) ;
  • Plageras, Andreas P. (Department of Applied Informatics, University of Macedonia) ;
  • Ishibashi, Yutaka (Department of Scientific and Engineering Simulation, Nagoya Institute of Technology) ;
  • Kim, Byung-Gyu (Department of IT Engineering, Sookmyung Women's University)
  • Received : 2018.01.31
  • Accepted : 2018.02.25
  • Published : 2018.03.30
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Abstract

In recent years, with the blooming of Internet of Things (IoT) and Cloud Computing (CC), researchers have begun to discover new methods of technological support in all areas (e.g. health, transport, education, etc.). In this paper, in order to achieve a type of network that will provide more intelligent media-data transfer new technologies were studied. Additionally, we have been studied the use of various open source tools, such as CC analyzers and simulators. These tools are useful for studying the collection, the storage, the management, the processing, and the analysis of large volumes of data. The simulation platform which have been used for our research is CloudSim, which runs on Eclipse software. Thus, after measuring the network performance with CloudSim, we also use the Cooja emulator of the Contiki OS, with the aim to confirm and access more metrics and options. More specifically, we have implemented a network topology from a small section of the script of CloudSim with Cooja, so that we can test a single network segment. The results of our experimental procedure show that there are not duplicated packets received during the procedure. This research could be a start point for better and more efficient media data transmission.

Keywords

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Fig. 1. Cloud System Model.

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Fig. 2. Network Topology ([2a] and [2b]).

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Fig. 3. Power consumption of the proposed network.

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Fig. 4. Received Packets Per Node.

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Fig. 5. Timeline showing the packets received per mote (node)over time.

Table 1. Cloud Servers Configuration

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Table 2. Power Consumption Information in Watt.

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Table 3. Virtual Machine Configuration

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Table 4. Cloudlet Parameters.

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