LAPSE:2023.4368
Published Article
LAPSE:2023.4368
Improvement of Perception Layer Routing Protocol with Static Nodes in IoT-Based Microgrids
Jun Yang, Chang Yu, Zijian Hu
February 23, 2023
Abstract
Aiming at the problem of uneven clustering and the unreasonable energy consumption of LEACH protocol in the perception layer of IoT-based microgrids of static nodes; in this paper, we propose a stationary-node energy-based routing protocol (SERP). First, we select a dynamic cluster radius for clustering to meet the actual needs of the network during clustering. Then, to solve the problem that the number of cluster heads is difficult to determine, a dynamic optimal cluster head ratio is adopted. The dynamic optimal cluster head ratio can be obtained by minimizing the total energy consumption of cluster formation and the stable transmission phase, which can improve the efficiency of network transmission. Finally, by setting the residual energy factor and distance factor to improve the calculation of the cluster head election threshold, the energy load of the network is more uniform, and the location of the cluster head is more reasonable. Compared with the LEACH protocol and the HEED protocol, the simulation results show that the SERP protocol can effectively prolong the lifetime of the whole network.
Keywords
IoT-based microgrids, LEACH protocol, perception layer, routing protocol
Suggested Citation
Yang J, Yu C, Hu Z. Improvement of Perception Layer Routing Protocol with Static Nodes in IoT-Based Microgrids. (2023). LAPSE:2023.4368
Author Affiliations
Yang J: Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China; School of Information Science and Engineering, Wuhan University of Science and T
Yu C: Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China; School of Information Science and Engineering, Wuhan University of Science and T
Hu Z: Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China; School of Information Science and Engineering, Wuhan University of Science and T
Journal Name
Processes
Volume
9
Issue
11
First Page
1882
Year
2021
Publication Date
2021-10-22
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr9111882, Publication Type: Journal Article
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LAPSE:2023.4368
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https://doi.org/10.3390/pr9111882
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Feb 23, 2023
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