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Abstract-Multimedia applications in wireless sensor networks (WMSN) have stringent quality of service (QoS) requirements. In this paper, we study image quality distortions due to packet losses in multi hop WMSN. An experimental simulation and real testbed environment has been setup to estimate the quality of the test images over 30,000 transmissions. Two scenarios are considered: in the first scenario, images are watermarked with their replicas at the source node and an error concealment (EC) algorithm is employed at the sink. In the second scenario, raw images are transmitted without any encoding. The empirical results have revealed that there is a strong correlation between Peak-SignalTo-Noise-Ratio (PSNR) values of the distorted images and packet loss rate of the transmission route (PER). Moreover, the relationship is linear when EC technique is used with an achievement over 25dB PSNR for PER less than 0.6. This correlation is useful when designing QoS based transport schemes.

Summary The vast number of smart cloud applications that communicate with the “things” over a variety of physical networks and communication protocols contribute to the rise of complexity in Internet of Things (IoT) systems. The diversity of end‐user requirements related to the volume of generated data, its variety, and the velocity of its transmission makes quality of service (QoS) provisioning even more crucial and challenging in IoT. This paper provides a comprehensive and up‐to‐date survey of QoS support in IoT networks and communication protocols. An analysis of the QoS‐aware IoT architectures, layer‐dependent QoS metrics, and network resource optimization methods utilized in IoT systems are given. The limitations of the current state‐of‐the‐art studies for efficient delivery of QoS metrics are discussed. The paper concludes with future research directions on end‐to‐end QoS provisioning in IoT.

Abstract. In this study, we propose dynamic prioritization of image macro-blocks for Wireless Multimedia Sensor Networks (WMSN). An encoding scheme is employed at the source node by labeling the blocks as "important" or "not-important" based on the information they contain. We introduce a set of novel priority measures to weigh importance of macro-blocks using their intrinsic properties. Experimental results reveal that the priority encoding scheme gracefully adapts itself to the application's quality requirements while reducing the required bandwidth fairly.

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