基于低功耗和有损网络的新型移动物联网轻量级路由协议--使用模糊逻辑方法

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Zahra Ghanbari , Nima Jafari Navimipour , Mehdi Hosseinzadeh , Hassan Shakeri , Aso Darwesh
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引用次数: 0

摘要

带有嵌入式移动设备的物联网设备创造了移动物联网(IoMT)模式。为静态网络创建的低功耗和有损网络路由协议(RPL)不支持移动性。IoMT 带来了路由挑战,如网络中的链路故障、不稳定性、能量耗尽、数据包丢失和切换延迟。在这种情况下,本文提出了基于 IoMT Fuzzy 的 RPL(IoMT-FRPL),以提高路由性能。接收信号强度指示器(RSSI)、欧氏距离、跳数和预期传输数(ETX)指标被内置到网络中移动节点的模糊接口系统中,以节约能源。IoMT-FRPL 包括以下三个关键步骤:第一步是数据传输和运动调查,第二步是基于模糊预测移动节点的新静态父节点,第三步是验证唯一附着点。在 Cooja/Contiki 2.7 中,将传统的 RPL、mRPL 和 EMA-RPL 与 IoMT 性能 FRPL 进行比较,仿真结果表明在能耗、移交延迟、数据包交付率 (PDR) 和信令成本方面都有所改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Lightweight Routing Protocol for Internet of Mobile Things Based on Low Power and Lossy Network Using a Fuzzy-Logic Method

The IoT devices with embedded mobile devices create the Internet of Mobile Things (IoMT) paradigm. Mobility is not supported by the routing protocol for low-power and lossy networks (RPL) created for static networks. IoMT has raised routing challenges such as link failure, instability, energy depletion, packet loss, and handover delay in the network. In this context, IoMT Fuzzy-based RPL (IoMT-FRPL) is proposed in this paper to enhance routing performance. Receiving Signal Strength Indicator (RSSI), Euclidean distance, Hop Count, and Expected Transmission Count (ETX) metrics are built into the fuzzy interface system for the mobile nodes in the network to conserve energy. The IoMT-FRPL consists of the following three key steps: The first steps are data transmission and motion investigation, the second is fuzzy-based prediction of a new static parent for the mobile node, and the third is verifying the unique attachment point. When conventional RPL, mRPL, and EMA-RPL were compared to IoMT-performance FRPL's in Cooja/Contiki 2.7, the simulation results revealed improvements in energy consumption, handover delay, packet delivery rate (PDR), and signaling cost.

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来源期刊
Pervasive and Mobile Computing
Pervasive and Mobile Computing COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS
CiteScore
7.70
自引率
2.30%
发文量
80
审稿时长
68 days
期刊介绍: As envisioned by Mark Weiser as early as 1991, pervasive computing systems and services have truly become integral parts of our daily lives. Tremendous developments in a multitude of technologies ranging from personalized and embedded smart devices (e.g., smartphones, sensors, wearables, IoTs, etc.) to ubiquitous connectivity, via a variety of wireless mobile communications and cognitive networking infrastructures, to advanced computing techniques (including edge, fog and cloud) and user-friendly middleware services and platforms have significantly contributed to the unprecedented advances in pervasive and mobile computing. Cutting-edge applications and paradigms have evolved, such as cyber-physical systems and smart environments (e.g., smart city, smart energy, smart transportation, smart healthcare, etc.) that also involve human in the loop through social interactions and participatory and/or mobile crowd sensing, for example. The goal of pervasive computing systems is to improve human experience and quality of life, without explicit awareness of the underlying communications and computing technologies. The Pervasive and Mobile Computing Journal (PMC) is a high-impact, peer-reviewed technical journal that publishes high-quality scientific articles spanning theory and practice, and covering all aspects of pervasive and mobile computing and systems.
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