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Innovative Model of Internet of Things for Industrial Applications

Innovative Model of Internet of Things for Industrial Applications
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Author(s): Jay Kumar Jain (Sagar Institute of Research and Technology, India)and Dipti Chauhan (Prestige Institute of Engineering Management and Research, India)
Copyright: 2023
Pages: 24
Source title: Opportunities and Challenges of Industrial IoT in 5G and 6G Networks
Source Author(s)/Editor(s): Poshan Yu (Soochow University, China & Australian Studies Centre, Shanghai University, China), Xiaohan Hu (Shanghai University, China), Ajai Prakash (University of Lucknow, India), Nyaribo Wycliffe Misuko (KCA University, Kenya)and Gu Haiyue (Shanghai University, China)
DOI: 10.4018/978-1-7998-9266-3.ch005


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The internet of things is one of the most significant and promising innovations today. In this chapter, the authors proposed the dual probability-based energy estimation model in the wireless sensor network. The dual probability-based function measures the expected value of energy for the transmission of data. This function creates a subgroup of networks based on energy function and carries out the operation of energy management in the context sensor node data processing. This function also integrates cloud-based services with the sensor networks. The benefit of this function is that it increases the throughput of network and quality of service. The proposed model was simulated in MATLAB R-2014a environment, and the results were obtained using different scenarios of network density. Finally, the authors analyzed the performance of our proposed work with respect to the following metrics: data utility, energy consumptions, and data reconstruction error.

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