Identifying the Effects of Security Measures on QoS Variations for IoT Network: An Application Perspective

Abstract

Internet of Things (IoT) networks are usually a combination of different types of micro-networks. These sub-networks include local sensor data gathering networks, data processing networks and finally data propagation networks. The data gathering networks are usually micro-nets that perform the task of aggregating data from nearby sensors. Data processing networks perform medium ranged communication to transfer the collected data to different processing (including intermediate storage) nodes, and gather the processed data. Data propagation networks perform long ranged communication, that presents the data on the final requesting device. Due to the involvement of so many networks, there is a need a multi-tier security in IoT networks. But, as we increase the number of security layers, there is a reduction in the Quality of Service (QoS) parameters for the network. These parameters include but are not limited to end to end delay, energy requirement, throughput, packet delivery ratio (PDR), etc. In this paper, we analyze the effect of different security paradigms on the QoS of IoT networks, and recommend combinations of these paradigms so that the network QoS is minimally affected. This review will be helpful for researchers and network designers who aim to create highly performance and security effective IoT networks. This review also takes into consideration an electronic healthcare application for IoT and analyze algorithms for the same.