Energy Efficient Weighted Probability Model Integrated Cloud-IoT Network to Increase Lifetime of the Network with Layered Architecture

Authors

  • Adel Abdullah Basuliman Research ScholarDepartment of Management Studies, NICHENoorul Islam Centre for Higher Education Thucklay
  • D. Kinslin Professor, Department of Management Studies, NICHE Noorul Islam Centre for Higher Education Thucklay
  • Aishwary Awasthi Research Scholar, Department of Mechanical Sanskriti University, Mathura, Uttar Pradesh, India
  • R. Dinesh Kumar Dept. of Electronics and communication Engineering, PERI Institute of technology, Chennai.
  • Juhi Juwairiyyah Assistant Professor Computer Science Engineering Malla Reddy University Hyderabad
  • Mr. Rajesh Pandey Asst. Professor, Department of Computer Science Shobhit Institute of Engineering & Technology (Deemed to-be University)

Keywords:

Internet of Things (IoT), Weighted Probability, Base layer, CH layer, Cloud Server, LSTM

Abstract

IoT-based wireless communication technology is an emerging technology involved in the provision of advanced communication for ubiquitous services. The drastic development of sensor devices leads to the effective realization of IoT technology based on the sensor environment. The IoT uses the cloud platform to process and manage a vast range of data. The integration of the cloud in the IoT platform leads to the acquisition of data, parallel processing, and dynamic resources. The implementation of the cloud in the IoT platform is subjected to a vast range of energy utilization. Hence, it is necessary to develop an appropriate scheme for secure communication in the IoT cloud environment. This paper proposed an LSTM-based cloud server IoT model for energy reduction in the IoT environment with the weighted probability estimation features. The proposed model is termed as the LSTMwpm for the estimation of the features in the IoT environment. Based on the computation of the energy level of the nodes the data transmission path is computed. Upon the estimated data transmission path the messages are transferred with the CH layer and base layer. The simulation analysis expressed that the proposed LSTMwpm model exhibits a higher alive node count of 1000 and a reduced dead node count. The estimated a number of a message transmitted in the layer expressed that base layer exhibits the value of 1000 messages in the network.

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Architecture of the LSTMwpm

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Published

19.12.2022

How to Cite

Basuliman, A. A. ., Kinslin, D. ., Awasthi, A. ., Kumar, R. D. ., Juwairiyyah, J. ., & Pandey, M. R. . (2022). Energy Efficient Weighted Probability Model Integrated Cloud-IoT Network to Increase Lifetime of the Network with Layered Architecture. International Journal of Intelligent Systems and Applications in Engineering, 10(2s), 221 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2388

Issue

Vol. 10 No. 2s (2022)

Section

Research Article

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