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arXiv 2203.07028cs.CY
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用于从被洪水淹没的智能区域获取信息的可信赖移动众包

Trustable Mobile Crowd Sourcing for Acquiring Information from a Flooded Smart Area

Sajedeh Abbasi, Hamed Vahdat-Nejad, Hamideh Hajiabadi

摘要:

洪水是一种自然现象,在智慧城市中会造成严重的环境破坏和破坏。洪水过后,地形、地质和生活条件都发生了变化。因此,先前关于环境的信息不再有效。打算帮助受灾民众的救援和救济组织需要获得有关洪水环境状况的新的准确信息。在最短的时间内获取这些所需的信息是实现智慧城市的挑战。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及,可以通过利用众包模型来获得所需的信息。在本文中,从一个洪水灾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,提出了一种用于获取信息的众包方案,包括恶意用户检测,以确保接收到的信息的准确性。仿真结果表明,该方案能够正确检测恶意用户,并保证了获取信息的质量。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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