首页> 外文会议>Proceedings of 2011 international conference on communication technology and application >DEVELOPING A DISASTER SURVEILLANCE SYSTEM BASED ON WIRELESS SENSOR NETWORK AND CLOUD PLATFORM
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DEVELOPING A DISASTER SURVEILLANCE SYSTEM BASED ON WIRELESS SENSOR NETWORK AND CLOUD PLATFORM

机译:基于无线传感器网络和云平台的灾害监测系统的开发

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Typically, today’s WSN disaster surveillance system operates poorly in its accuracy and timeliness and can only detect a single of disasters. This owes largely to the congestion brought about by excessive communication traffic and the processing limitation of the server which dramatically restrict the development of disaster surveillance systems. In order to solve these problems, this paper proposes a new scheme in improving the traditional disaster surveillance systems. At the data collection and transmission layer, orthogonal neural network algorithm, which is based on the wavelet transform, is introduced to promote the surveillance accuracy and reduce the network congestion. At the data storage and computing layer, cloud storage and distributed parallel computing are used to overcome the limitation of the previous storage and computation. At last, the paper gives the concrete implementation plan and verifies the superiority of the system.
机译:通常,当今的WSN灾难监视系统在准确性和及时性方面运行不佳,并且只能检测到单个灾难。这主要归因于过多的通信流量和服务器的处理限制所带来的拥塞,这极大地限制了灾难监视系统的开发。为了解决这些问题,本文提出了一种改进传统灾难监控系统的新方案。在数据采集与传输层,引入了基于小波变换的正交神经网络算法,以提高监控精度,减少网络拥塞。在数据存储和计算层,使用云存储和分布式并行计算来克服先前存储和计算的限制。最后,给出了具体的实施方案并验证了系统的优越性。

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