论文标题
可信赖的移动人群采购,用于从被淹没的智能区域获取信息
Trustable Mobile Crowd Sourcing for Acquiring Information from a Flooded Smart Area
论文作者
论文摘要
洪水是一种自然现象,会在智能城市造成严重的环境破坏和破坏。洪水,地形,地质和生活条件发生了变化。结果,有关环境的先前信息不再有效。打算帮助受影响人民的救援组织需要获取有关被洪水泛滥的环境的新的准确信息。在最短的时间内获取此必需的信息是实现智能城市的挑战。由于物联网技术的进步以及具有多种传感器和功能的智能手机的普遍性,可以通过利用众包模型来获得所需的信息。在本文中,被洪水淹没的地区所需的信息分为四类:受害者,设施和生计,医疗和转移。接下来,提出了用于获取信息的众包计划,包括恶意用户检测,以确保收到的信息的准确性。最后,仿真结果表明所提出的方案正确检测了恶意用户并确保获得的信息的质量。
Flood is a natural phenomenon that causes severe environmental damage and destruction in smart cities. After a flood, topographic, geological, and living conditions change. As a result, the previous information regarding the environment is no more valid. Rescue and relief organizations that intend to help the affected people need to obtain new and accurate information about the conditions of the flooded environment. Acquiring this required information in the shortest time is a challenge for realizing smart cities. Due to the advances in the Internet of Things technology and the prevalence of smartphones with several sensors and functionalities, it is possible to obtain the required information by leveraging the Crowdsourcing model. In this paper, the information required from a flooded area is classified into four categories: victim, Facility and Livelihood, medical, and transfer. Next, a crowdsourcing scheme for acquiring information is proposed, including malicious user detection to ensure the accuracy of information received. Finally, simulation results indicate that the proposed scheme correctly detects malicious users and ensures the quality of obtained information.