Maryam Shirbeigi, Bardia Safaei, Ali Asghar Mohammad Salehi, Amir Mahdi Hosseini Monazzah, J. Henkel, A. Ejlali
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引用次数: 4
摘要
低功耗和有损网络(RPL)的标准化IPv6路由协议以双向端到端方式实现了数千个智能设备、传感器和执行器之间的高效通信,允许在多跳物联网基础设施中连接资源约束设备。RPL旨在应对低功耗和有损网络(lln)的主要挑战,特别是它们的能源效率。但是,RPL面临着严重的拥塞和负载均衡问题,导致网络中的PDR (Packet Delivery Ratio)很低。自RPL声明以来,我们首次在本文中解释了在异构网络中忽略接收和传输缓冲区的规范会导致这些不平衡的流量负载,导致拥塞,从而导致RPL中的数据包丢失。为了解决这一问题,本文引入了CBR-RPL;一种轻量级的基于rpl的路由机制,它将节点组织成逻辑集群,并通过一种新颖的drop-aware Objective Function (OF)来路由数据包。新定义的OF同时考虑节点收发器的队列占用率和丢包率。通过Cooja模拟器进行的大量实验表明,与RPL和QURPL相比,CBR-RPL在PDR方面的可靠性分别提高了38.2%和75%。此外,与最先进的技术相比,CBR-RPL还将节点的能耗提高了3倍,这主要是由于对网络施加的控制数据包更少。
A Cluster-Based and Drop-aware Extension of RPL to Provide Reliability in IoT Applications
The standardized IPv6 Routing Protocol for Low-power and Lossy Networks (RPL) has enabled efficient communications between thousands of smart devices, sensors, and actuators in a bi-directional, and end-to-end manner, allowing the connection of resource constraint devices in multi-hop IoT infrastructures. RPL is designed to cope with the major challenges of Low-power and Lossy Networks (LLNs), specifically their energy-efficiency. However, RPL is facing with severe congestion and load balancing problems, leading to a low Packet Delivery Ratio (PDR) in the network. For the first time since the declaration of RPL, in this paper we explain that ignoring the specifications of the reception and transmission buffers in heterogeneous networks has caused these unbalanced traffic loads, leading to congestion, and consequently loss of packets in RPL. In order to resolve this problem, this paper introduces CBR-RPL; a light-weight RPL-based routing mechanism, which organizes the nodes into logical clusters and routes the packets through a novel drop-aware Objective Function (OF). The newly defined OF considers the queue occupancy of the nodes transceivers along with their drop rate simultaneously. According to an extensive set of experiments, which have been conducted via the Cooja simulator, it has been observed that the CBR-RPL improves the reliability in terms of PDR by 38.2%, and 75% compared to RPL and QURPL, respectively. In addition, CBR-RPL has also improved the amount of energy consumption in the nodes by up to $3\times$ compared to the state-of-the-art, mainly due to imposing fewer control packets to the network.