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Latency Optimization in IoT Networks Using SD-WAN Edge Computing

Authors:
Rashmi Vaidya
Nader Mir

Keywords: IoT Networks; Sensors; Latency Optimization; Software-Defined Wide Area Networking (SD-WAN); Traffic Prioritization; Quality of Service (QoS); Cloud Computing; Edge Computing; Edge Caching; Smart Cities; Autonomous Vehicles.

Abstract:
This paper aims to reduce latency in Internet of Things (IoT) sensor networks using Software-Defined Wide Area Network (SD-WAN) edge computing. The motivation comes from the strong necessity of rapid decision-making in the emerging IoT applications such as smart cities and autonomous vehicles. In the real communications world, the processing speed of devices and sensor nodes in an IoT network is slow as nodes and devices have limited power and processing resources, while cloud-based methods are time-consuming to access distant servers. This paper uses a custom SD-WAN controller to coordinate the task allocation to nearby edge servers to lower the response time as well as data processing delays. Algorithms such as the ones for traffic prioritization based on QoS requirements, edge computing resource allocation, and edge caching techniques are also deployed to achieve the goal. Software implementation and simulations are used to quantify the latency reduction achieved. Through SD-WAN and edge computing, the paper focuses on techniques for reducing the IoT network latency to improve IoT operations’ safety and efficiency.

Pages: 1 to 5

Copyright: Copyright (c) IARIA, 2025

Publication date: September 28, 2025

Published in: conference

ISSN: 2326-9383

ISBN: 978-1-68558-292-0

Location: Lisbon, Portugal

Dates: from September 28, 2025 to October 2, 2025