A survey study on Internet of Things resource management

Abstract

In the modern era of computation, Internet of Things (IoT) has attracted more and more attention for implementing automation based high quality eco-system, innovative and reliable services, and improved productivity. That is why, IoT is presently spanning over a diverse range of applications in the fields of education, healthcare, agriculture, military, industry, etc. The resources IoT requires in those applications are heterogeneous in nature, for example, storage, processor, network, sensor nodes, energy, etc. The obvious challenge is how to manage these limited resources efficiently. Quite recently a number of attempts have been made towards an optimal resource management using various scheduling schemes. This paper broadly divides these scheduling schemes into three aspects, namely Quality of Services (QoS), IoT architecture, and IoT network infrastructure. The paper also presents an analysis based on different metrics of IoT resource scheduling and a comparison among different resource scheduling techniques. A section of this analysis is dedicated to the simulation model analyses involved in different scheduling schemes. Finally, we believe there is still a lot of scope in improving IoT resource management maintaining the overall quality needed. The paper considers with such a future direction of research in this field.