# Real-Time, Content-Based Communication Load Reduction in the Internet of Multimedia Things
## 5 Conclusions  
Resources are limited in an IoMT, which has similar limitations to the IoT, of which it is a subset. The resources available to an IoMT constitute memory, energy (or power over time), processing capability, and bandwidth. With the massive production of video data by mobile multimedia devices, which are constantly storing, processing, and sharing information, those resources in an IoMT are often devoured quickly. Devices in an IoMT become resource hungry due to processing large amounts of data and, therefore, that data needs to be controlled, without in the case of video and still images (considered herein) compromising quality, accuracy and confidentiality. In this study, a video compression method was proposed based on frame differencing. Difference frames were acquired by subtracting two consecutively occurring frames to extract motion information. Motion in a newly captured frame is forwarded only when prominent change is detected, judged by a threshold, when a Region of Motion or ROM is forwarded in JPEG compressed and AES encrypted form, as otherwise the previous frame is displayed at the receiver end. All the parameters that were considered and measured for the proposed method, including data size, bitrate, transmission delay, frame rate at the receiver, demonstrated the worthwhile nature of the proposed method. Not only was the video information accurate but, all the same, the amount of data transmitted was usually considerably reduced, especially when compared to a method without motion detection. The time delays recorded demonstrated that, even with the per video frame processing overheads, delays were close to those when sending all frames without motion detection and ROM extraction. The SSIM and PSNR video quality measurements show that, though there were some slight differences, the reconstructed frames at the receiver were nearly equivalent to the original frames at the sender, during tests across the wireless link. Therefore, no prominent degradations occurred. Bit-rates were increased as a result of encryption but the new bit-rates remained low, showing acceptable behavior.  
Overall, the authors found the proposed method to be flexible and efficient enough to be used in resource-constrained IoMT devices such as Intel NUC for relaying videos. In fact, the paper includes a comparison of the proposed method and that of five other related methods for load reduction. All six methods have their relative merits and demerits, including for the proposed method a need to reduce the processing times in the forthcoming development phase of the authors' method, after the present research phase. This study has focused on video aspects of the proposed method. Future work will consist in tests over a more extensive wireless network, using more representative IoMT devices such as the Raspberry-PI.  
Conceptualization, N.K.; Formal analysis, A.I.; Funding acquisition, M.N.A.; Investigation, I.T.; Methodology, N.K. and M.N.A.; Project administration, N.K. and M.F.; Resources, A.I.; Software, I.T. and F.T.; Supervision, M.N.A. and A.I.; Visualization, F.T.; Writing - original draft, I.T. and M.N.A.; Writing - review & editing, M.F. All authors have read and agreed to the published version of the manuscript.  
This research received no external funding.  
The authors declare no conflict of interest.