Next Article in Journal
Characterizing Computer Access Using a One-Channel EEG Wireless Sensor
Next Article in Special Issue
Secure and Time-Aware Communication of Wireless Sensors Monitoring Overhead Transmission Lines
Previous Article in Journal
Active Multimodal Sensor System for Target Recognition and Tracking
Previous Article in Special Issue
Compressed-Sensing Reconstruction Based on Block Sparse Bayesian Learning in Bearing-Condition Monitoring
Open AccessArticle

Data Aggregation Based on Overlapping Rate of Sensing Area in Wireless Sensor Networks

1
College of Information Engineering, Capital Normal University, Beijing 100048, China
2
State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing 100191, China
3
Research Institute of Beihang University in Shenzhen, Shenzhen 518057, China
4
Schepens Eye Research Institute, Harvard Medical School, Boston, MA 02114, USA
*
Author to whom correspondence should be addressed.
Sensors 2017, 17(7), 1527; https://doi.org/10.3390/s17071527
Received: 26 April 2017 / Revised: 9 June 2017 / Accepted: 20 June 2017 / Published: 29 June 2017
(This article belongs to the Special Issue Smart Industrial Wireless Sensor Networks)
Wireless sensor networks are required in smart applications to provide accurate control, where the high density of sensors brings in a large quantity of redundant data. In order to reduce the waste of limited network resources, data aggregation is utilized to avoid redundancy forwarding. However, most of aggregation schemes reduce information accuracy and prolong end-to-end delay when eliminating transmission overhead. In this paper, we propose a data aggregation scheme based on overlapping rate of sensing area, namely AggOR, aiming for energy-efficient data collection in wireless sensor networks with high information accuracy. According to aggregation rules, gathering nodes are selected from candidate parent nodes and appropriate neighbor nodes considering a preset threshold of overlapping rate of sensing area. Therefore, the collected data in a gathering area are highly correlated, and a large amount of redundant data could be cleaned. Meanwhile, AggOR keeps the original entropy by only deleting the duplicated data. Experiment results show that compared with others, AggOR has a high data accuracy and a short end-to-end delay with a similar network lifetime. View Full-Text
Keywords: wireless sensor networks; data aggregation; overlapping rate of sensing area; data accuracy wireless sensor networks; data aggregation; overlapping rate of sensing area; data accuracy
Show Figures

Figure 1

MDPI and ACS Style

Tang, X.; Xie, H.; Chen, W.; Niu, J.; Wang, S. Data Aggregation Based on Overlapping Rate of Sensing Area in Wireless Sensor Networks. Sensors 2017, 17, 1527.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop