Wireless Sensor Network Distributed Data Collection Strategy Based on the Regional Correlated Variability of Perceptive Area
On account of the energy saving problem in wireless sensor network (WSN), this paper proposes the method that classifies sensing area according to the similarity of variability of sensing in terms of fuzzy clustering. Through the head of a cluster in a similar area to sample data to represent approximately collection of the regional sensing data. We through a test manifests data collection of partitioned similar sensing area will implement well in data monitoring and it will reduce the total energy consumption, reduce the computing task for data fusion and lengthen the WSN life circle.
KeywordsFuzzy clustering Similar sensing area Energy saving
- 1.Heinzelman WR, Chandrakasan A, Balakrishnan H (2000) Energy-efficient communication protocol for wireless microsensor networks. In: Proceedings of the 33rd Hawaii international conference on system sciencesGoogle Scholar
- 4.Peng W, Edwards DJ (2010) K-means like minimum mean distance algorithm for wireless sensor networks [C] 2010. In: 2nd international conference on computer engineering and technology IEEE pp120–124.Google Scholar