Fog Computing based Automated Accident Detection and Emergency Response System using Android Smartphone

Bilal Khalid Dar, M. Ali Shah, Huniya Shahid, A. Naseem
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引用次数: 14

Abstract

Accident and emergencies are unpredictable. In case of accidents, human intervention causes time delay and it can result in many problems, even human life loss. In this regard, IoT offers a lot of benefits. The main purpose of IoT based disaster management system is to provide aid in an emergency system with minimum delay. Cloud computing plays a vital role in IoT. It provides storage, management, and processing of a large amount of data. As a large amount of data is processed on the cloud, the overall processing time increase due to transferring and processing delay. Here, Fog Computing comes into play as it provides processing at the edge of the network. it provides many advantages such as reduced latency, mobility, geographical distribution, real-time interactions etc. the purpose of this paper is to exploit the advantages of fog computing to develop a fog-based accident detection and emergency response system, which employs Android device sensors to detect an accident emergency, accident location and create an action plan to handle the emergency timely. We evaluated our approach with the help of iFogSim which is an open source toolkit for simulating fog technologies along with IoT and cloud. The results achieved after simulation are promising and illustrate that fog provides superior results in comparison to the cloud.
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基于雾计算的Android智能手机事故自动检测与应急响应系统
事故和紧急情况是不可预测的。一旦发生事故,人为干预会造成时间延迟,并可能导致许多问题,甚至生命损失。在这方面,物联网提供了很多好处。基于物联网的灾害管理系统的主要目的是在应急系统中以最小的延迟提供援助。云计算在物联网中起着至关重要的作用。它提供了大量数据的存储、管理和处理。由于大量数据在云上处理,由于传输和处理延迟,整体处理时间增加。在这里,雾计算开始发挥作用,因为它在网络边缘提供处理。它具有减少延迟、移动性、地理分布、实时交互等优点,本文的目的是利用雾计算的优势,开发一种基于雾的事故检测和应急响应系统,该系统利用Android设备传感器来检测事故紧急情况、事故位置并制定行动计划以及时处理紧急情况。我们在iFogSim的帮助下评估了我们的方法,iFogSim是一个用于模拟雾技术以及物联网和云的开源工具包。仿真结果表明,与云相比,雾提供了更好的效果。
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