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Motivated by the needs of precise forest inventory and real-time surveillance for ecosystem management, in this paper we present GreenOrbs [2], a wireless sensor network system and its application for canopy closure estimates. Both the hardware and software designs of GreenOrbs are tailored for sensing in wild environments without human supervision,(More)
We present to use Wireless Sensor Networks(WSNs) to monitor environmental factors for ubran green space. By using a wsn, the real-time distribution of temperature and humidity gathered from the real environment clearly reflects the dynamics of temperature and humidity both inside and outside the green space. Meanwhile, the data of the heat absorbed and the(More)
Localization is a fundamental issue of wireless sensor networks that has been extensively studied in the literature. The real-world experience from GreenOrbs, a sensor network system in the forest, shows that localization in the wild remains very challenging due to various interfering factors. In this paper we propose CDL, a Combined and Differentiated(More)
Localization is a fundamental issue of wireless sensor networks that has been extensively studied in the literature. Our real-world experience from GreenOrbs, a sensor network system deployed in a forest, shows that localization in the wild remains very challenging due to various interfering factors. In this paper, we propose CDL, a Combined and(More)
Recent advances in the application field increasingly demand the use of wireless camera sensor networks (WCSNs), for which localization is a crucial task to enable various location-based services. Most of the existing localization approaches for WCSNs are essentially interactive, i.e., require the interaction among the nodes throughout the localization(More)
—As a large scale real sensor network system, GreenOrbs reveals that locating sensor nodes in the forest still faces great challenges because of volatile and fluctuating environmental factors. In this paper, we present a novel localization scheme, EARL, which provides accurate reference nodes and good ranging quality. We exam the range quality along routing(More)
Diagnosis for wireless sensor networks is difficult, due to the limited resources and the ad hoc manner of networks. The existing approaches mainly focus on collecting diagnosis metrics, which bring heavy communication overhead to the network. We present a new model called DSD for network diagnosis which deduce the root causes for failures using the sensing(More)
Wireless sensor networks in the past decade have achieved remarkable progress, while the real applications are still far from being long-term or large-scale. This paper presents GreenOrbs [1], the latest effort to explore the fundamental challenges of long-term large-scale wireless sensor networks. GreenOrbs supports a series of forestry applications. Based(More)