最短路径问题
计算机科学
物联网
无线传感器网络
路径(计算)
架空(工程)
实时计算
应急响应
堵塞
计算机网络
计算机安全
图形
医疗急救
医学
理论计算机科学
历史
操作系统
考古
作者
Anshul Jindal,Vaibhav Agarwal,Prasenjit Chanak
出处
期刊:IEEE Internet of Things Journal
[Institute of Electrical and Electronics Engineers]
日期:2022-07-01
卷期号:9 (13): 10424-10433
被引量:5
标识
DOI:10.1109/jiot.2021.3123189
摘要
Wireless sensor networks (WSNs) play a vital role in the development of emergency evacuation systems. The main objective of the emergency evacuation system is to find a safe path for every individual by using the Internet of Things (IoT)-based WSNs, whenever an emergency arises. The major drawback of the existing approaches is that they ignore the clogging of individuals taking the same route to exit. Therefore, this article proposes an emergency evacuation system for clogging-free and shortest-safe path navigation (ECSSN) with IoT-enabled WSNs. The ECSSN algorithm detects the hazards, such as fire or harmful gases and humans, which creates an emergency in the indoor monitoring environment. Furthermore, several safety layers around the dangerous zones are created using a multisource breadth-first search (MBFS) algorithm. Therefore, the individuals near or far away from the hazardous region are directed along the clogging-free and shortest-safe path to the destination exit. The ECSSN algorithm also considers the dynamic emergency by taking and solving the current scenario’s input from sensor nodes after every fixed time interval. The proposed algorithm is compared with state-of-the-art algorithms in terms of execution time, average path stretch, and navigation overhead to prove the efficacy and competence of the ECSSN algorithm.
科研通智能强力驱动
Strongly Powered by AbleSci AI