Abstract
In this paper, we propose an energy-efficient joint video encoding and transmission framework for network lifetime extension, under an end-to-end video quality constraint in the Wireless Video Sensor Networks (WVSN). This framework integrates an energy-efficient and adaptive intra-only video encoding scheme based on the H.264/AVC standard, that outputs two service differentiated macroblocks categories, namely the Region Of Interest and the Background. Empirical models describing the physical behavior of the measured energies and distortions, during the video encoding and transmission phases, are derived. These models enable the video source node to dynamically adapt its video encoder’s configuration in order to meet the desired quality, while extending the network lifetime. An energy-efficient and reliable multipath multi-priority routing protocol is proposed to route the encoded streams to the sink, while considering the remaining energy, the congestion level as well as the packet loss rates of the intermediate nodes. Moreover, this protocol interacts with the application layer in order to bypass congestion situations and continuously feed it with current statistics. Through extensive numerical simulations, we demonstrate that the proposed framework does not only extend the video sensor lifetime by 54%, but it also performs significant end-to-end video quality enhancement of 35% in terms of Mean Squared Error (MSE) measurement.





















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Acknowledgements
This research was supported by the excellence fellowships program of the National Center for Scientific and Technical Research (CNRST) of Morocco (G01/003) and the Franco-Moroccan cooperation program in STICs for the research project “RECIF”.
The authors would also like to thank the editorial office Christian Malan, the editor-in-chief, the guest editors as well as the anonymous reviewers for their efforts and valuable comments and suggestions that have led to improvements in this paper.
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Driss Aboutajdine died before publication of this work was completed.
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Alaoui-Fdili, O., Coudoux, FX., Fakhri, Y. et al. Energy-efficient joint video encoding and transmission framework for WVSN. Multimed Tools Appl 77, 4509–4541 (2018). https://doi.org/10.1007/s11042-017-4904-6
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DOI: https://doi.org/10.1007/s11042-017-4904-6