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论文类型：期刊论文

发表时间：2016-07-01

发表刊物：IEEE SENSORS JOURNAL

收录刊物：SCIE、EI

卷号：16

期号：13

页面范围：5471-5480

ISSN号：1530-437X

关键字：Clustering; energy efficiency; average entropy; random update; wireless sensor networks

摘要：This paper presents an energy-efficient clustering method using random update (EECRU) for wireless sensor networks. We divide the network into preliminary clusters depending on the temporal and spatial correlation of sensor data. These clusters are then updated by applying a dynamic update policy and a cluster head rotation scheme, where the change of sensor data and the energy residue of sensors are taken into consideration to achieve high energy efficiency and balance. The larger the change rate of the sensor data in a cluster, the higher its update frequency. A sensor node that has a high data frequency is more likely to be selected as the head of its cluster. In the data transmission phase, a sampling rate control method is adopted to improve the efficiency of data sampling. The experimental results indicate that the proposed EECRU method achieves high energy efficiency and energy balance.