@inproceedings{fd4dea67aca54d309d4dc9aaba6836b8,
title = "A High-Performance Synchronous Energy-Saving Algorithm for Wireless Sensor Networks",
abstract = "Time synchronization technology is an important prerequisite for effective application of wireless sensor networks, and provides basic services for multiple application services. However, due to the complexity of the network environment, it is difficult to meet the different applications of the time synchronization mechanism in practical applications. In this paper, based on the characteristics of the wireless sensor network and the application of the related time synchronization technology, a new high-performance synchronous energy-saving algorithm is proposed on the basis of the existing technical achievements. This algorithm synthetically considers the residual energy level and node degree of the child nodes, and optimizes the selection process of the reference nodes, thus reducing and balancing the energy consumption between the nodes and effectively prolonging the network life. Simulation results show the effectiveness of the algorithm.",
keywords = "Energy consumption, Time synchronization, Wireless sensor networks",
author = "Hu, \{Han Zhi\} and Wu, \{Zhi Lu\} and Li, \{Zhu Xi\} and Zhang, \{Xiao Jun\}",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Singapore Pte Ltd.; International Conference on Communications, Signal Processing, and Systems, CSPS 2018 ; Conference date: 14-07-2018 Through 16-07-2018",
year = "2019",
doi = "10.1007/978-981-13-6264-4\_79",
language = "英语",
isbn = "9789811362637",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "670--677",
editor = "Wei Wang and Jiasong Mu and Zhenyu Na and Qilian Liang and Baoju Zhang and Xin Liu",
booktitle = "Communications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume 1",
address = "德国",
}