Entropy-based Correlation Clustering for Wireless Sensor Networks in Multi-Correlated Regional Environments
Nguyễn Thị Thanh Nga, Nguyen Kim Khanh, Son Ngo Hong · IEIE Transactions on Smart Processing and Computing · 2016
The existence of correlation characteristics brings significant potential advantages to the development of efficient routing protocols in wireless sensor networks. This research proposes a new simple method of clustering sensor nodes into correlation groups in multiple-correlation areas. At first, the evaluation of joint entropy for multiple-sensed data is considered. Based on the evaluation, the definition of correlation region, based on entropy theory, is proposed. Following that, a correlation clustering scheme with less computation is developed. The results are validated with a real data set.