NDLI: Design and implementation of wireless sensor and actor network for precision agriculture

Content Provider	IEEE Xplore Digital Library
Author	Hu, Jing Shen, Lianfeng Yang, Yang Lv, Ruichao
Copyright Year	2010
Description	Author affiliation: National Mobile Communications Research Laboratory, Southeast University, Nanjing, China (Hu, Jing; Shen, Lianfeng; Yang, Yang; Lv, Ruichao)
Abstract	Precision agriculture (PA) is a research discipline based on the investigation of the differences that exist in every cultivated field. And wireless sensor and actor networks (WSAN) are new technology that can provide viable solutions for PA applications, which can not only aquire the relative data, but also automatically take reactive respones to the change of environment. In this paper a specific WSAN application for PA with the ability of intelligent irrigation is developed, and the functions of the platform can be extended to other applications of PA. Besides, video nodes can be integrated to provide visual data. A system architecture is proposed to fulfill the PA requirements. Then detailed implementation strategies of hardware and software are discussed, including sensor nodes, solar-powered actor nodes, video nodes, gateway and control center software. System performance experiments validate the rationality of the design and implementation, then future improvements are proposed.
Starting Page	571
Ending Page	575
File Size	747703
Page Count	5
File Format	PDF
ISBN	9781424458509
e-ISBN	9781424458493
DOI	10.1109/WCINS.2010.5544151
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Irrigation Ethernet networks Chemical and biological sensors Intelligent sensors Precision agriculture Wireless sensor networks Wireless sensor and actor networks Computer architecture Video monitoring Agriculture Hardware Biosensors Remote monitoring
Content Type	Text
Resource Type	Article

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