Research on energy saving technology of Internet of Things communication based on energy perception

Hui Xiang; Luyao Guo; Jing Zhang; Yan Lu; Jing He; Junying Wu

doi:10.1117/12.2631956

14 April 2022 Research on energy saving technology of Internet of Things communication based on energy perception

Hui Xiang, Luyao Guo, Jing Zhang, Yan Lu, Jing He, Junying Wu

Proceedings Volume 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021); 121781A (2022) https://doi.org/10.1117/12.2631956
Event: International Conference on Signal Processing and Communication Technology (SPCT 2021), 2021, Tianjin, China

Abstract

In recent years, in the process of studying the energy-saving algorithm of wireless sensor networks, wireless sensor networks with low duty cycle appear. In this mode, nodes have their own scheduling table and information table, and periodically change their working state and sleep state. Although certain energy-saving objectives are achieved in this mode, the transmission delay between neighbor nodes will also increase. As a result, the data can not be transmitted timely and effectively. In this paper, the sink node also has a sleep mechanism. After determining the low traffic load sink nodes that need to sleep, it is necessary to select the sensor nodes that sleep with them at the same time to save the unnecessary energy consumption caused by this subnet. Considering the routing planning of load transfer and the heterogeneity of node energy, a load balancing algorithm based on data traffic is proposed, which uses the powerful function of transfer path to perform data emission and realize load balancing so that the sink node can also transfer the load well when sleeping, balance the network energy load and increase the network life cycle. The simulation results show that the algorithm can effectively optimize the topology of the Internet of things, reduce energy consumption, make the energy consumption at a uniform level, maintain high transmission rate, and increase the life cycle of the Internet of things.

Citation Download Citation

Hui Xiang, Luyao Guo, Jing Zhang, Yan Lu, Jing He, and Junying Wu "Research on energy saving technology of Internet of Things communication based on energy perception", Proc. SPIE 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021), 121781A (14 April 2022); https://doi.org/10.1117/12.2631956

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KEYWORDS

Internet

Sensors

Computer simulations

Sensor networks

Data modeling

Head

Algorithm development

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