این رویداد خاتمه یافته است و اطلاعات موجود در این سایت صرفا جنبه آرشیو دارد
پنجمين دوره كنفرانس بین‌المللی اينترنت اشيا و كاربردها
The 5th International Conference on Internet of Things and Its Application

:: Information Gathering of Earthquake Disasters by Mobile Crowd Sourcing in Smart Cities


Information Gathering of Earthquake Disasters by Mobile Crowd Sourcing in Smart Cities

 

Hamed Vahdat-Nejad

Pervasive and Cloud Computing

Lab, Faculty of Electrical and

Computer Engineering

University of Birjand

Birjand, Iran

Vahdatnejad@birjand.ac.ir

Hamid Bahadori

Pervasive and Cloud Computing

Lab, Faculty of Electrical and

Computer Engineering

University of Birjand

Birjand, Iran

Hamid_Bahadori@birjand.ac.ir

Ali Abiri

Pervasive and Cloud Computing

Lab, Faculty of Electrical and

Computer Engineering

University of Birjand

Birjand, Iran

AbiriAli@birjand.ac.ir

 

AbstractNatural disasters such as earthquakes have always threatened and victimized the lives of humans and other creatures. After each earthquake, the environmental conditions change and various information is required to carry out the rescue operation. A major part of this information cannot be obtained from the knowledge that had already existed about the disaster area. However, the disaster management organizations as well as rescue teams need comprehensive information in the shortest possible time to be able to operate. Given the progress of Internet of Things and ubiquity of smartphones, it is possible to obtain this comprehensive information in the shortest time through crowd sourcing. In this article, the requirement analysis of the earthquake information gathering system has been performed. The requirements are generally classified into 4 groups including victims, facilities and livelihood, security and health, and maps. Afterwards, a layered architecture is designed for the earthquake information gathering system, which includes 4 layers including sensing, fog, cloud and application. The scenario-based approach validates that the proposed architecture satisfies the identified requirements. Finally, as selfish users could corrupt the whole information of crowd sourcing systems, a simulation reveals that the system is able to detect and eliminate these users.

 

Keywords—Disaster Management, Data acquisition, Mobile Crowd Sourcing, Requirement analysis, Architecture, Smart city

 






فایل‌های مورد نیاز

فراخوان ویژه

پوستر همایش

© کلیه حقوق این وب سایت محفوظ می باشد .
طراحی و پیاده سازی شده توسط : همایش نگار ( ویرایش 10.0.4)