A zone-based optical intra-vehicle backbone network architecture with dynamic slot scheduling

IF 1.9 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Optical Switching and Networking Pub Date : 2023-08-01 DOI:10.1016/j.osn.2023.100753
Onur Alparslan, Shin’ichi Arakawa, Masayuki Murata
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Abstract

As Ethernet has a large bandwidth capacity, it is commonly proposed as a backbone for future intra-vehicle networks. However, satisfying the severe hardware reliability requirements of intra-vehicle networks while providing high-bandwidth and low latency by Ethernet may be costly. As a solution, we propose a novel optical intra-vehicle backbone network architecture that may have a lower cost and higher reliability in terms of hardware when compared to Ethernet. However, unlike traditional optical Ethernet architectures, only a single master node has transmitter laser diodes in the backbone of our architecture, so the gateway nodes cannot generate and send packets to the backbone links directly. As the gateways cannot inform the master node and request a slot when they have a new packet to send, a slot scheduling algorithm with polling is necessary to detect and transfer the new packets in the gateways, which may cause higher transmission delays compared to Ethernet. In this paper, we present our optical intra-vehicle backbone network architecture and propose two slot scheduling algorithms. We show that using a dynamic slot scheduling algorithm decreases packet delays when compared to fixed periodic slot scheduling in our architecture. We also evaluate the total delays including traffic shaping and processing delays in an optical TSN Ethernet backbone architecture as a reference. We show that the extra delays due to slot scheduling in our architecture may be negligibly low when compared with traffic shaping and processing delays.

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一种基于区域的动态槽位调度的车载光骨干网架构
由于以太网具有较大的带宽容量,它通常被提议作为未来车内网络的骨干。然而,在通过以太网提供高带宽和低延迟的同时,满足车内网络的严格硬件可靠性要求可能是昂贵的。作为一种解决方案,我们提出了一种新型的车载光骨干网络架构,与以太网相比,该架构在硬件方面可能具有更低的成本和更高的可靠性。然而,与传统的光以太网架构不同,在我们的架构的主干中,只有单个主节点具有发射器激光二极管,因此网关节点无法直接生成数据包并将其发送到主干链路。由于网关在有新数据包要发送时无法通知主节点并请求时隙,因此有必要使用带有轮询的时隙调度算法来检测和传输网关中的新数据包,与以太网相比,这可能会导致更高的传输延迟。在本文中,我们提出了我们的光车内骨干网络架构,并提出了两种时隙调度算法。我们表明,在我们的体系结构中,与固定周期性时隙调度相比,使用动态时隙调度算法可以减少分组延迟。我们还评估了光TSN以太网主干架构中的总延迟,包括流量整形和处理延迟,作为参考。我们表明,与流量整形和处理延迟相比,在我们的架构中,由于时隙调度而产生的额外延迟可能低到可以忽略不计。
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来源期刊
Optical Switching and Networking
Optical Switching and Networking COMPUTER SCIENCE, INFORMATION SYSTEMS-OPTICS
CiteScore
5.20
自引率
18.20%
发文量
29
审稿时长
77 days
期刊介绍: Optical Switching and Networking (OSN) is an archival journal aiming to provide complete coverage of all topics of interest to those involved in the optical and high-speed opto-electronic networking areas. The editorial board is committed to providing detailed, constructive feedback to submitted papers, as well as a fast turn-around time. Optical Switching and Networking considers high-quality, original, and unpublished contributions addressing all aspects of optical and opto-electronic networks. Specific areas of interest include, but are not limited to: • Optical and Opto-Electronic Backbone, Metropolitan and Local Area Networks • Optical Data Center Networks • Elastic optical networks • Green Optical Networks • Software Defined Optical Networks • Novel Multi-layer Architectures and Protocols (Ethernet, Internet, Physical Layer) • Optical Networks for Interet of Things (IOT) • Home Networks, In-Vehicle Networks, and Other Short-Reach Networks • Optical Access Networks • Optical Data Center Interconnection Systems • Optical OFDM and coherent optical network systems • Free Space Optics (FSO) networks • Hybrid Fiber - Wireless Networks • Optical Satellite Networks • Visible Light Communication Networks • Optical Storage Networks • Optical Network Security • Optical Network Resiliance and Reliability • Control Plane Issues and Signaling Protocols • Optical Quality of Service (OQoS) and Impairment Monitoring • Optical Layer Anycast, Broadcast and Multicast • Optical Network Applications, Testbeds and Experimental Networks • Optical Network for Science and High Performance Computing Networks
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