Abstract
With the recent trends of the Internet, embedded objects, wireless communication, pervasive and ubiquitous computing have emerged with a new evolving theory named as Internet of Things (IoT). The world of IoT comprised of interrelated static and dynamic physical objects with a unique identity and are able to communicate without human intervention by means of the Internet. All these IoT devices are connected through the Internet using different wireless technologies such as all five generation technologies and Machine to Machine(M2M) technologies. These processed data are transmitted to the end user as per requirement. Various network challenges are infused during data transmission to the intermediate and end user, as all these IoT devices in the network are with limited energy and memory constrained. During transmission, routing of data should use proper scheduling for efficient resource allocation. Important issues such as delay or jitter within the network should be avoided for critical case applications such as fire detection, building health monitoring, smoke detection, disaster management, and intrusion detection. For IoT networks, network transmission time should be less and optimized scheduling for efficient multi-hop routing should be prioritized. Hence, efficient optimization link scheduling methods are essential to achieve successful data delivery in IoT networks. In this article, a comprehensive parameterized analysis of recent studies related to resource allocation using scheduling in wireless networks is discussed.
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Patil, S., Gokhale, P. (2021). Systematic Review of Resource Allocation Methods Using Scheduling for M2M (Machine to Machine Communication) in IoT Network. In: Mahalle, P.N., Shinde, G.R., Dey, N., Hassanien, A.E. (eds) Security Issues and Privacy Threats in Smart Ubiquitous Computing. Studies in Systems, Decision and Control, vol 341. Springer, Singapore. https://doi.org/10.1007/978-981-33-4996-4_13
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