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Balance: depolarized intelligent sensing system with multi-angle energy-saving optimized control model

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Abstract

A simulation model of balanced energy consumption for wireless sensor networks (WSNs) is proposed to solve the uneven energy consumption problem in WSN that leads to the rapid death of some nodes and the occurrence of blind spots. The model consists of five parts: a hierarchical model, an energy consumption model, a cluster filtration model, a data transmission model, and a cluster model. It forms a complete scheme that can effectively solve the problems of unreasonable cluster head selection, uneven clustering, and poor network robustness in WSN networking by combining energy consumption depolarization strategies to fill the gap of set optimization scheme. A clustering method is proposed to equalize node load, and an adaptive two-cluster model is used in accordance with node location to equalize network energy consumption. The simulation results show that the proposed energy consumption model can significantly improve the overall performance of the network. The network lifetime is extended by about 120%, the total data transmission per unit of energy is improved by 51% on average, the redundant data generation is reduced by 44.2%, and the localization tracking success rate is reduced by only 2.14%.

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Funding

This work was supported in part by the National Natural Science Foundation of China (62176067); National Key Research and Development Program of China (SQ2020YFF0416833); Scientific and Technological Planning Project of Guangzhou (201903010041, 202103000040); Key Project of Guangdong Province Basic Research Foundation (2020B1515120095); and Project Supported by Guangdong Province Universities and Colleges Pearl River Scholar Funded Scheme (2019).

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Correspondence to Xu Lu.

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Lu, X., Chen, K. & Chen, R. Balance: depolarized intelligent sensing system with multi-angle energy-saving optimized control model. Ann. Telecommun. 77, 835–846 (2022). https://doi.org/10.1007/s12243-022-00913-y

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