Abstract:
Internet of Things applications such as environmental monitoring and healthcare may
involve multimedia communications from IoT devices to humans for decision-making.
Therefore, the delivered multimedia should be in good perceived quality. Higher video
quality results into higher energy consumption due to encoding and decoding processes
and as a result, will affect the performance of IoT devices due to their inherent energy
constraints. This thesis presents the impact of video encoding parameters on the energy
consumption of IoT devices. The experimental results from Cooja simulator show that
the videos with high bitrates and low frame rates consume more power than videos with
low bitrates and high frame rates. It was also found that videos with high movement
consume more power than videos with medium and slow movement. Also this thesis
proposes a power model that takes into account video parameters such as bit rate, frame
rate and content types. The proposed model can play a vital role in video quality
adaptation in multimedia communication over IoT devices. The experiment results from
the subjective test show that the video with the same bitrate ,frame rate and resolution,
slow and medium movement recorded better MOS values and hence better quality than
fast movement video sequence. Finally, this thesis presents the impact of gender on the
Quality of Experience for video services. Initial results from subjective tests suggested
that male viewers request higher video quality compared to female viewers, while female
viewers possibly concentrate more on the content of the video.
