Demand-Addressable Sensor Network: Toward Large-Scale Active Information Acquisition

Demand-Addressable Sensor Network: Toward Large-Scale Active Information Acquisition
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DOI:
10.1109/jsen.2016.2575846
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发表时间:
2016-06
影响因子:
4.3
通讯作者:
T. Miyazaki;N. Suematsu;D. Baba;Peng Li;Song Guo;J. Kitamichi;Takafumi Hayashi;T. Tsukahara
T. Miyazaki;N. Suematsu;D. Baba;Peng Li;Song Guo;J. Kitamichi;Takafumi Hayashi;T. Tsukahara
中科院分区:
综合性期刊2区
文献类型:
--
作者:
T. Miyazaki;N. Suematsu;D. Baba;Peng Li;Song Guo;J. Kitamichi;Takafumi Hayashi;T. Tsukahara

文献摘要

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本文提出了一种新型的传感器网络--按需寻址传感器网络。数据库通过满足用户需求主动获取所需信息,并将信息传递到适当的目的地。这与传统的传感器网络相反,传统的传感器网络只是将感测到的数据发送给用户。该DDENSITY是有用的,找到所需的信息,在短时间内从大量的传感器网络产生的大规模的传感器数据。DALK是由一个按需寻址的网络构建的,该网络集成了许多按需可重构的无线传感器网络(ODRWSN)和其他现有的信息和通信技术系统或服务,如谷歌地图和Twitter。除了按需寻址机制之外,按需寻址网络还具有网络内数据组合或混搭机制。混合的数据使用普通的Web浏览器显示在用户终端上,而不需要安装专用的应用程序。ODRWSN的功能可以通过注入用户指定的角色来动态定制。因此,用户可以通过自定义传感器网络功能来主动获取所需的信息。该卫星的主要应用是广域灾害现场监测,上文概述的该卫星的特点适用于这种监测。在本文中,基本的概念,它的体系结构和实现,以及实验结果的DSTOM。
A new type of sensor network called the demand-addressable sensor network (DASN) is proposed in this paper. The DASN actively acquires the desired information by addressing user demands and delivers the information to appropriate destinations. This is in contrast to the conventional sensor networks that simply send sensed data to users. The DASN is useful for finding the desired information in a short duration of time from a large amount of sensed data generated by a large-scale sensor network. The DASN is constructed with a demand-addressable network that integrates many on-demand reconfigurable wireless sensor networks (ODRWSN) and other existing information and communications technology systems or services, such as Google Maps and Twitter. In addition to the demand-addressing mechanism, the demand-addressable network has an in-network data combining or mashup mechanism. The mashed up data are displayed on the user terminal using an ordinary Web browser without any requirement to install a dedicated application program. The functions of the ODRWSN can be dynamically customized by injecting roles specified by the user. Thus, the user can actively get the desired information by customizing the sensor network function. The main application of the DASN is wide-area disaster site monitoring, for which the DASN features outlined above are suitable. In this paper, the concept underlying the DASN, its architecture and implementation, and experimental results are presented.