RPL*: An Explainable AI-based routing protocol for Internet of Mobile Things

IF 6 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Internet of Things Pub Date : 2024-07-09 DOI:10.1016/j.iot.2024.101283
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Abstract

The Internet of Mobile Things (IoMT) is an emerging paradigm of Internet of Things (IoT) with special focus on enabling mobility to the ‘things’. Several IoMT applications such as group of robots or drones performing collaborative search and rescue operation, identification of mines, warehouse management, goods delivery, etc can be considered as examples of IoMT systems. In the applications mentioned above, the nodes may send the information in a multi-hop manner to the root or coordinator node which may be static or mobile. While the Routing Protocol for Low Power and Lossy Networks (RPL) is extensively utilized in static IoT networks, it encounters significant limitations in handling mobility and providing resilience against routing attacks in mobile IoT networks. In this work, we propose a modified RPL, RPL* which is robust to handling mobility in nodes and is resilient towards routing attacks. In RPL*, any deviation from the normal behaviors of the network are identified as anomalies using an unsupervised Explainable Artificial Intelligence (XAI) strategy. In RPL*, we propose a novel mobility detection mechanism that will identify the mobility in the network in an energy efficient manner without incurring additional communication overhead. To maintain the connectivity with parent node, we propose a novel proactive connectivity management mechanism in RPL* which will ensure a smooth transition from one parent to another if required, thus avoiding the network partitioning due to mobility. The performance analysis of the system has demonstrated an improvement in packet delivery ratio of the mobile nodes by 40% due to the proposed RPL* when compared to RPL. Also, the proposed XAI strategy provided an F1-score of over 95% for the detection of sink hole and black hole attacks in the tested IoMT network scenarios. It was observed that RPL* improves the performance of the IoMT network when compared to RPL. However it may be noted that the mechanisms introduced to support mobility does not lead to a drop in PDR or increase in control packet overhead for static networks. Hence, RPL* can be considered as an alternative to RPL for IoT as well as IoMT networks.

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RPL*:基于可解释人工智能的移动物联网路由协议
移动物联网(IoMT)是物联网(IoT)的一种新兴模式,其重点是实现 "物 "的移动性。一些 IoMT 应用,如机器人群或无人机协同搜救、识别地雷、仓库管理、货物交付等,都可视为 IoMT 系统的范例。在上述应用中,节点可以多跳方式向根节点或协调节点发送信息,根节点或协调节点可以是静态的,也可以是移动的。虽然低功耗和低损耗网络路由协议(RPL)在静态物联网网络中得到了广泛应用,但在移动物联网网络中,它在处理移动性和提供抵御路由攻击的能力方面遇到了很大的限制。在这项工作中,我们提出了一种改进的 RPL,即 RPL*,它能稳健地处理节点的移动性,并能抵御路由攻击。在 RPL* 中,任何偏离网络正常行为的行为都会被无监督可解释人工智能(XAI)策略识别为异常。在 RPL* 中,我们提出了一种新颖的移动性检测机制,它能以节能的方式识别网络中的移动性,而不会产生额外的通信开销。为了保持与父节点的连接,我们在 RPL* 中提出了一种新颖的主动连接管理机制,该机制将确保在需要时从一个父节点平稳过渡到另一个父节点,从而避免因移动性造成的网络分割。系统的性能分析表明,与 RPL 相比,拟议的 RPL* 使移动节点的数据包传送率提高了 40%。此外,在测试的 IoMT 网络场景中,所提出的 XAI 策略在检测沉洞和黑洞攻击方面的 F1 分数超过 95%。据观察,与 RPL 相比,RPL* 提高了 IoMT 网络的性能。不过,值得注意的是,在静态网络中,为支持移动性而引入的机制不会导致 PDR 下降或控制数据包开销增加。因此,在物联网和 IoMT 网络中,RPL* 可被视为 RPL 的替代方案。
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来源期刊
Internet of Things
Internet of Things Multiple-
CiteScore
3.60
自引率
5.10%
发文量
115
审稿时长
37 days
期刊介绍: Internet of Things; Engineering Cyber Physical Human Systems is a comprehensive journal encouraging cross collaboration between researchers, engineers and practitioners in the field of IoT & Cyber Physical Human Systems. The journal offers a unique platform to exchange scientific information on the entire breadth of technology, science, and societal applications of the IoT. The journal will place a high priority on timely publication, and provide a home for high quality. Furthermore, IOT is interested in publishing topical Special Issues on any aspect of IOT.
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