Evolution and sustainability of a wildlife monitoring sensor network
Evolution and sustainability of a wildlife monitoring sensor network
复制标题
野生动物监测传感器网络的演变和可持续性
DOI：
10.1145/1869983.1869997
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
Dyo V
中科院分区：
文献类型：
--
作者：
Dyo V
随着传感器网络技术的日益成熟，它们越来越多地应用于各种各样的应用，从农业传感到牛，海洋和火山监测。在部署和测试传感器网络方面做出了重大努力，从而实现了前所未有的传感能力。一个关键的挑战是如何使这些新兴的无线传感器网络在越来越长时间的部署中更可持续，更容易维护。在本文中，我们报告了一项为期一年的野生动物自动监测系统的部署结果，该系统用于分析居住在茂密林地环境中的欧洲獾（Meles Meles）的社会共地模式。我们描述了其发展周期的各个阶段，从实现、部署和测试，到软件优化的各种迭代，然后是硬件增强，这反过来又触发了进一步软件优化的需要。我们报告了对所收集数据子集的初步描述性分析，证明了我们的系统在对獾行为产生新见解方面的巨大潜力。得到的主要教训是：在设计系统时需要考虑维护成本；仔细观察软件和硬件的相互作用；快速初始原型部署的重要性（这是我们成功的关键）；并且需要与领域科学家进行持续的交互，从而实现意想不到的优化。
As sensor network technologies become more mature, they are increasingly being applied to a wide variety of applications, ranging from agricultural sensing to cattle, oceanic and volcanic monitoring. Significant efforts have been made in deploying and testing sensor networks resulting in unprecedented sensing capabilities. A key challenge has become how to make these emerging wireless sensor networks more sustainable and easier to maintain over increasingly prolonged deployments.In this paper, we report the findings from a one year deployment of an automated wildlife monitoring system for analyzing the social co-location patterns of European badgers (Meles meles) residing in a dense woodland environment.We describe the stages of its evolution cycle, from implementation, deployment and testing, to various iterations of software optimization, followed by hardware enhancements, which in turn triggered the need for further software optimization. We report preliminary descriptive analyses of a subset of the data collected, demonstrating the significant potential our system has to generate new insights into badger behavior. The main lessons learned were: the need to factor in the maintenance costs while designing the system; to look carefully at software and hardware interactions; the importance of a rapid initial prototype deployment (this was key to our success); and the need for continuous interaction with domain scientists which allows for unexpected optimizations.
影响因子：
2
作者：
Macdonald, DW;Newman, C
通讯作者：
Newman, C
在冰岛部署无线传感器网络
DOI：
--
发表时间：
2009
期刊：
GeoSensor Networks
影响因子：
--
作者：
K. Martinez;J. Hart;R. Ong
通讯作者：
R. Ong
控制牛结核病的生物学障碍：对有关野生动物的两个假设进行检验，以解释控制失败
影响因子：
5.9
作者：
D. Macdonald;P. Riordan;F. Mathews
通讯作者：
F. Mathews