Chapter 2 - Energy efficient data communication in Internet of Multimedia Things (IoMT)

Abstract

Real-Time multimedia processing with IoT is extremely used in different environments to perform various tasks like monitoring and data aggregation which help in applications such as search, rescue, disaster relief, target tracking, and data aggregation method. Multimedia contents are communicated from the sensor to sink node in multihop manners to perform computation. It has been observed that in LLN networks, heavy data as in the case of multimedia content can cause congestion and choke the network, however, if the important nodes are selected based on their importance in the network then the congestion and bandwidth can properly be utilized. Such important nodes are also called critical nodes. In this chapter, we have considered the problem of critical node selection in the IoMT networks. To select critical nodes, we have proposed a spatial correlation measurement-based boundary node algorithm that depends only on the local connectivity, and a virtual coordinate system for data communication is proposed. The proposed virtual coordinate algorithm measures the correlation between an IoT device's position and its neighboring position to detect the critical node. To validate our work, we have implemented our proposed algorithm on the IoT multihop routing algorithm RPL. We have compared our proposed algorithm with the existing IoMT algorithm in terms of delivery ratio and energy consumption. The result shows that our proposed algorithm required almost 50% less energy when compared to the green RPL and delivers 3 times more data than ETX-RPL.