원문정보
초록
영어
As modern agriculture develops, the demand to the agricultural information acquirement technology grows. This paper applies the wireless sensing data acquisition technology to the agricultural production. A data aggregation method based on matching pursuit algorithm is proposed according to the features and function of WSN data aggregation. By the theoretical analysis and experimental simulation, it’s proved that the data aggregation of wireless sensor network can be achieved with the application of matching pursuit algorithm. Thus both the amount of data transmission and energy consumption of the network are reduced effectively, the life of the network extends. And the high data reconstruction accuracy helps the large-scale application.
목차
1. Introduction
2. Transmission Model of WSN using Distributed Nodes and the Features and Functions of Data Aggregation
2.1. Environmental monitoring model of Wireless network with distributed node
2.2. Environmental Monitoring Model of Wireless Network with Distributed Node
3. The Information Aggregating Algorithm based on Matching Pursuit
4. The Simulation of Information Aggregating Algorithm based on Matching Pursuit Algorithm
5. Conclusion
Acknowledgment
References
저자정보
참고문헌
- 1Signal Processing With Compressive Measurements네이버 원문 이동
- 2Subspace Pursuit for Compressive Sensing Signal Reconstruction네이버 원문 이동
- 3Compressed sensing with coherent and redundant dictionaries네이버 원문 이동
- 4An Introduction To Compressive Sampling네이버 원문 이동
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- 6Sparsity adaptive matching pursuit algorithm for practical compressed sensing네이버 원문 이동
- 7Uniform Uncertainty Principle and Signal Recovery via Regularized Orthogonal Matching Pursuit네이버 원문 이동
- 8Review of Multipath Routing Protocols in Wireless Multimedia Sensor Network -A Survey네이버 원문 이동
- 9Design, Fabrication and Testing of Fringing Electric Field Soil Moisture Sensor for Wireless Precision Agriculture Applications네이버 원문 이동
- 10Model-Based Compressive Sensing네이버 원문 이동