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Multichannel S-ALOHA-Enabled Autonomous Self-Healing in Industrial IoT Networks
IEEE Transactions on Industrial Informatics ( IF 12.3 ) Pub Date : 2022-02-09 , DOI: 10.1109/tii.2022.3149908
Jie Liu 1 , Howon Lee 2 , Hu Jin 1
Affiliation  

For industrial Internet of Things network operators, undesired and abrupt network failure is a critical problem to be resolved quickly. In order to provide reliable communication services to devices in faulty cells, in this article, we propose a distributed autonomous self-healing mechanism that allows a random-access-based instantaneous communication to the neighbor cells. The design of the self-healing mechanism is challenged by the diverse device locations and the different available number of channels provided by the neighbor cells due to their intracell traffic load. By estimating the number of devices communicating with each neighbor cell in an online manner, our proposed mechanism can control the channel access probability of each cell to maximize throughput. In addition, the devices can reselect their serving cells in a distributed manner while realizing maximum but fair throughput among devices. Through extensive simulations, we show that our proposed mechanism can provide effective performance for autonomous self-healing.

中文翻译:

工业物联网网络中支持多通道 S-ALOHA 的自主自我修复

对于工业物联网网络运营商来说,网络意外和突发性故障是一个需要快速解决的关键问题。为了向故障小区中的设备提供可靠的通信服务,在本文中,我们提出了一种分布式自治自愈机制,允许与相邻小区进行基于随机访问的瞬时通信。自愈机制的设计受到不同设备位置和相邻小区由于其小区内流量负载而提供的不同可用信道数量的挑战。通过估计以在线方式与每个相邻小区通信的设备数量,我们提出的机制可以控制每个小区的信道访问概率以最大化吞吐量。此外,设备可以以分布式方式重新选择它们的服务小区,同时实现设备之间最大但公平的吞吐量。通过广泛的模拟,我们表明我们提出的机制可以为自主自我修复提供有效的性能。
更新日期:2022-02-09
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