Kwon Kideok, Yang Jihoon, Yoo Younghwan
Department of Computer Engineering, Pusan National University, Busandaehak-ro 63beon-gil Geumjeong-gu, Busan 609-735, Korea.
Sensors (Basel). 2015 Apr 24;15(5):9741-55. doi: 10.3390/s150509741.
A number of research works has studied packet scheduling policies in energy scavenging wireless sensor networks, based on the predicted amount of harvested energy. Most of them aim to achieve energy neutrality, which means that an embedded system can operate perpetually while meeting application requirements. Unlike other renewable energy sources, solar energy has the feature of distinct periodicity in the amount of harvested energy over a day. Using this feature, this paper proposes a packet transmission control policy that can enhance the network performance while keeping sensor nodes alive. Furthermore, this paper suggests a novel solar energy prediction method that exploits the relation between cloudiness and solar radiation. The experimental results and analyses show that the proposed packet transmission policy outperforms others in terms of the deadline miss rate and data throughput. Furthermore, the proposed solar energy prediction method can predict more accurately than others by 6.92%.
许多研究工作基于预测的能量收集量，对能量收集无线传感器网络中的分组调度策略进行了研究。其中大多数旨在实现能量中立，这意味着嵌入式系统可以在满足应用需求的同时持续运行。与其他可再生能源不同，太阳能在一天内的能量收集量具有明显的周期性特征。利用这一特性，本文提出了一种分组传输控制策略，该策略可以在保持传感器节点存活的同时提高网络性能。此外，本文还提出了一种利用云量与太阳辐射之间关系的新型太阳能预测方法。实验结果和分析表明，所提出的分组传输策略在截止期错过率和数据吞吐量方面优于其他策略。此外，所提出的太阳能预测方法的预测准确率比其他方法高6.92%。
