Efficient Location-Based Service Discovery for IoT and Edge Computing in the 6G Era
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arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866915627670700032 |
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| author | Horvath, Kurt Kimovski, Dragi |
| author_facet | Horvath, Kurt Kimovski, Dragi |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_00743 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Efficient Location-Based Service Discovery for IoT and Edge Computing in the 6G Era Horvath, Kurt Kimovski, Dragi Distributed, Parallel, and Cluster Computing 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. |
| title | Efficient Location-Based Service Discovery for IoT and Edge Computing in the 6G Era |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2504.00743 |