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Secured Data Acquisition System for Smart Water Applications using WSN

机译:使用WSN的智能水应用安全数据采集系统

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Objectives: The paper presents a comprehensive system design and implementation of a prototype for secure data acquisition of water quality parameters in a real time basis using Wireless Sensor Network. Methods/Analysis: The design is based upon under-water sensors for measuring water parameters, interfaced to a Data Acquisition Board attached with a WSN mote. Layered architecture comprising of Mote Tier, Server Tier and a Client Tier has been employed. The system has been developed on TinyOS using TinyECC library and Matlab. Security service to provide data authentication employs a light-weight-key-generation scheme using ECC. A web based application facilitates visualization of sensor data. Findings: Following simulation in Tossim, the data acquisition application was ported to the WSN hardware with security primitives for data authentication. Field trials were carried out at World famous Dal Lake in Srinagar and data related to pH, Conductivity, ORP/Redox, Temperature, Turbidity and Oxidation was accessed remotely through the web application. For the purpose of recording the field location (Longitude and Latitude), a GPS sensor was also integrated to the WSN set-up. The water quality parameters acquired through the Data Acquisition System were correlated with the water quality test reports of standard labs. Energy and computational calculations were carried and benchmarked to ascertain the suitability of the system design considering the resource constraint nature of WSN. The product has the potential of becoming an important constituent of smart water applications as a requirement of smart city. Novelty/Improvement: The field deployable prototype serves as a generic model for monitoring the water quality of any water body like river ,lake , reservoir etc on a real time basis with the novel feature of employing sensor data authentication as a security service.
机译:目标:本文介绍了一种全面的系统设计和原型的实现,该原型用于使用无线传感器网络实时安全地获取水质参数的数据。方法/分析:该设计基于用于测量水参数的水下传感器,并连接到与WSN节点相连的数据采集板。已经采用了由Mote Tier,Server Tier和Client Tier组成的分层体系结构。该系统已使用TinyECC库和Matlab在TinyOS上开发。提供数据身份验证的安全服务采用了使用ECC的轻量级密钥生成方案。基于Web的应用程序有助于可视化传感器数据。结果:在Tossim中进行仿真后,数据获取应用程序已移植到具有安全原语的WSN硬件,以进行数据认证。在世界著名的斯利那加(Srinagar)的达尔湖(Dal Lake)进行了现场试验,可通过Web应用程序远程访问与pH值,电导率,ORP /氧化还原,温度,浊度和氧化有关的数据。为了记录现场位置(经度和纬度),GPS传感器也集成到WSN设置中。通过数据采集系统获得的水质参数与标准实验室的水质测试报告相关。考虑到无线传感器网络的资源约束性质,进行了能源和计算计算并进行了基准测试,以确定系统设计的适用性。该产品有可能成为智慧城市应用中重要的智能水应用组件。新颖性/改进性:现场可部署的原型作为一种通用模型,可实时监控河流,湖泊,水库等任何水体的水质,并具有采用传感器数据认证作为安全服务的新颖功能。

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