物联网(IoT)中保证容错的数据转发到Fog

Seyedsalar Sefati, S. Halunga
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引用次数: 4

摘要

物联网(IoT)是一种采用各种传感器和无线通信协议的技术。人们正在利用物联网通过使用创新和智能设备使他们的生活更轻松。其中之一是家庭自动化,它与连接到网络的执行器和传感器一起工作。传感器、嵌入式系统、个人设备等数量的大量增加,将增加负载,从而增加故障。在如此复杂和密集的网络中,需要在任何情况下提供可靠服务的能力,并且物联网传感器不应该中断。容错方法对于保持物联网系统的低延迟和高可靠性至关重要。需要一个动态和复杂的算法来确保实际应用程序中的服务。在该方法中,Fog首先从每个集群中检索并存储可用性、可靠性和吞吐量信息(ART);然后,第二轮比较当前情况可用的参数,因为在每轮中都有可能失败。如果抗逆转录病毒治疗与第一轮相同,则情况是连续的;否则,Fog会向Cluster Head (CH)请求查找故障传感器。通过移除故障传感器,相邻节点必须重新路由。该方法在NS3环境下进行了仿真,与其他算法相比,具有较高的可靠性和吞吐量。
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Data forwarding to Fog with guaranteed fault tolerance in Internet of Things (IoT)
The Internet of Things (IoT) is a technology that employs a variety of sensors and wireless communication protocols. People are leveraging IoT to make their lives easier by using innovative and intelligent equipment. One of them is home automation, which works in conjunction with the actuators and sensors linked to the network. The massive increase in the number of sensors, embedded systems, personal devices, etc., will increase the load and, thus, the faults. In such complicated and dense networks, the capacity to offer reliable services in any circumstance is required, and the IoT sensors should not be interrupted. Fault-tolerance methods are essential to maintain low latency and high reliability in IoT systems. A dynamic and sophisticated algorithm is needed to ensure the services in real-world applications. In this proposed method, firstly, the Fog retrieves and stores the Availability, Reliability, and Throughput information (ART) from each cluster. Then, the second round compares the parameters available for the current situation because it is possible to fail in each round. If the ART is equal with the first round, the situation is continuous; otherwise, Fog requests from the Cluster Head (CH) to find the faulty sensor. By removing the faulty sensor, the adjacent nodes must re-route. The proposed method has been simulated in a NS3 environment and achieved high reliability and throughput compared to other algorithms.
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