Notice of Violation of IEEE Publication Principles: Energy Saving of Wireless Sensor Network Based on Topology Control Algorithm

Notice of Violation of IEEE Publication Principles

"Energy Saving of Wireless Sensor Network Based on Topology Control Algorithm"
by Hui Zhao and Lina Guo
in IEEE Access, Volume 7

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

This paper contains significant portions of text from the paper cited below that were paraphrased without attribution.

"Topology Control Algorithm Based on Energy Conservation in Wireless Sensor Networks"
Published online June 2010
Hard copy available at the Lanzhou University Library, Lanzhou, China
https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CMFD&dbname=CMFD2010&filename=2010130048.nh&uid=WEEvREcwSlJHSldRa1FhcEE0QVN2K1BoNTNMT1dkOGVyU0FMY09hQjBuST0=$9A4hF_YAuvQ5obgVAqNKPCYcEjKensW4IQMovwHtwkF4VYPoHbKxJw!!&v=MDAzMjFYMUx1eFlTN0RoMVQzcVRyV00xRnJDVVJMT2VaZVpyRnlyblZiM0JWMTI2SHJLN0h0SElwNUViUElSOGU=


Wireless sensor networks are an important part of the Internet of Things (IoT). For energy-constrained wireless sensor networks, research on topology control with energy saving is a difficult problem. The influence of topology on the overall performance of the network plays an important role, and the topology control algorithm plays a decisive role in the formation of the topology. Based on the research of hierarchical topology control algorithm, an improved algorithm based on energy-saving clustering algorithm (CAEC) is proposed. The algorithm changes the cluster area and performs communication stability by selecting cluster head nodes. The simulation experiments show that the clustering process of the CAEC algorithm is more reasonable than the LEACH algorithm, which prolongs the survival time of the network. The number of surviving nodes in the monitoring area, network energy consumption, and BS receiving data volume are different degrees of improvement during our study.