A study on the fast system recovery: Selecting the number of surrogate nodes for fast recovery in industrial IoT environment
This paper is based on the previous research that selects the proper surrogate nodes for fast recovery mechanism in industrial IoT (Internet of Things) Environment which uses a variety of sensors to collect the data and exchange the collected data in real-time for creating added value. We are going to suggest the way that how to decide the number of surrogate node automatically in different deployed industrial IoT Environment so that minimize the system recovery time when the central server likes IoT gateway is in failure. We are going to use the network simulator to measure the recovery time depending on the number of the selected surrogate nodes according to the sub-devices which are connected to the IoT gateway.
Video signals may be distorted during communication due to channel noises.Error control methods are needed to ensure the quality.Traditional schemes treat video as ordinary bit streams,ignoring the underlying content of the video.A content-aware error control scheme proposed in this paper uses content feature to classify the content of video into a set of unit classes,and associate each unit class with representative error control approaches.Experiment results show that using this error control schemes during error resilience process,the bandwidth can be utilized efficiently,and Focus Of Attention(FOA) can be protected,the reconstructed video can satisfy the user's demand of information maximally at the cost of minim resources.