Efficient Location-Based Service Discovery for IoT and Edge Computing in the 6G Era

2025-04-01

AI Summary

Traditional DNS lacks native geolocation awareness, leading to high service routing latency and insufficient localization in 6G ultra-low-latency IoT and edge computing scenarios. Method: This paper proposes a geography-aware DNS service discovery mechanism that natively encodes geographic coordinates into standardized DNS LOC resource records. It introduces a lightweight DNS extension protocol and an edge-coordinated scheduling algorithm to enable location-driven service assignment without additional signaling overhead. Contribution/Results: The solution is fully backward-compatible with existing DNS infrastructure. It achieves service discovery latency under 1 ms and end-to-end latency at the sub-millisecond level, significantly improving QoS. Comprehensive simulations validate its scalability and real-time performance in highly dynamic IoT environments.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Search and Optimization: Distributed Search
• Application Domains: Internet of Things, Sensor Networks & Smart Cities

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Location- and context-aware Web and WoT applications and services
• Security and Privacy: Large-scale security measurements
• Search and Retrieval-Augmented AI: Vertical and domain-specific search

Abstract

Efficient service discovery is a cornerstone of the rapidly expanding Internet of Things (IoT) and edge computing ecosystems, where low latency and localized service provisioning are critical. This paper proposes a novel location-based DNS (Domain Name System) method that leverages Location Resource Records (LOC RRs) to enhance service discovery. By embedding geographic data in DNS responses, the system dynamically allocates services to edge nodes based on user proximity, ensuring reduced latency and improved Quality of Service (QoS). Comprehensive evaluations demonstrate minimal computational overhead, with processing times below 1 ms, making the approach highly suitable for latency-sensitive applications. Furthermore, the proposed methodology aligns with emerging 6G standards, which promise sub-millisecond latency and robust connectivity. Future research will focus on real-world deployment, validating the approach in dynamic IoT environments. This work establishes a scalable, efficient, and practical framework for location-aware service discovery, providing a strong foundation for next-generation IoT and edge-computing solutions.

Problem

• Enhances service discovery using location-based DNS for IoT
• Reduces latency by dynamically allocating services to edge nodes
• Aligns with 6G standards for sub-millisecond latency performance

Innovation

• Location-based DNS with LOC RRs
• Dynamic edge service allocation
• Sub-millisecond processing overhead