Research Article
A Method of Balanced Sleep Scheduling in Renewable Wireless Sensor Networks
@INPROCEEDINGS{10.1007/978-3-030-00557-3_30, author={Maohan Song and Weidang Lu and Hong Peng and Zhijiang Xu and Jingyu Hua}, title={A Method of Balanced Sleep Scheduling in Renewable Wireless Sensor Networks}, proceedings={Machine Learning and Intelligent Communications. Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings}, proceedings_a={MLICOM}, year={2018}, month={10}, keywords={Green cities Energy informatics Energy harvesting Duty cycles}, doi={10.1007/978-3-030-00557-3_30} }- Maohan Song
Weidang Lu
Hong Peng
Zhijiang Xu
Jingyu Hua
Year: 2018
A Method of Balanced Sleep Scheduling in Renewable Wireless Sensor Networks
MLICOM
Springer
DOI: 10.1007/978-3-030-00557-3_30
Abstract
Energy harvesting from its environmental sources becomes an integral part of green cities. This paper considers a low-energy consumption Wireless Sensor Networks to improve energy utilization in green cities. By this approach, a wireless node can directly harvest energy from its ambient by introducing an energy-harvesting layer on the top of traditional WSN layer. The energy harvesting layer composed of charging points (CPs) that it can harvest energy from ambient renewable energy sources (solar, vibration, light, and electromagnetic wave, etc.) transfer the harvested energy to the underlying WSN layer by wireless energy transfer. Furthermore, in order to conserve battery power in very dense sensor networks, some sensor nodes may be put into the sleep state while other sensor nodes remain active for the sensing and communication tasks. The proposed scheme applies energy informatics to increase the energy efficiency by optimizing energy harvesting time interval and energy consumption of the node for uniform data gathering over the network.