Give me a hint: An ID-free small data transmission protocol for dense IoT devices

Ren, Yi ORCID: https://orcid.org/0000-0001-7423-6719, Wu, Ren-Jie, Huang, Teng-Wei and Tseng, Yu-Chee (2017) Give me a hint: An ID-free small data transmission protocol for dense IoT devices. In: Wireless Days, 2017. The Institute of Electrical and Electronics Engineers (IEEE). ISBN 978-1-5090-5857-0

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Abstract

IoT (Internet of Things) has attracted a lot of attention recently. IoT devices need to report their data or status to base stations at various frequencies. The IoT communications observed by a base station normally exhibit the following characteristics: (1) massively connected, (2) lightly loaded per packet, and (3) periodical or at least mostly predictable. The current design principals of communication networks, when applied to IoT scenarios, however, do not fit well to these requirements. For example, an IPv6 address is 128 bits, which is much longer than a 16-bit temperature report. Also, contending to send a small packet is not cost-effective. In this work, we propose a novel framework, which is slot-based, schedule-oriented, and identity-free for uploading IoT devices' data. We show that it fits very well for IoT applications. The main idea is to bundle time slots with certain hashing functions of device IDs, thus significantly reducing transmission overheads, including device IDs and contention overheads. The framework is applicable from small-scale body-area (wearable) networks to large-scale massively connected IoT networks. Our simulation results verify that this framework is very effective for IoT small data uploading.

Item Type: Book Section
Faculty \ School: Faculty of Science > School of Computing Sciences
UEA Research Groups: Faculty of Science > Research Groups > Smart Emerging Technologies
Faculty of Science > Research Groups > Data Science and AI
Related URLs:
Depositing User: Pure Connector
Date Deposited: 26 Jan 2018 16:30
Last Modified: 10 Dec 2024 01:11
URI: https://ueaeprints.uea.ac.uk/id/eprint/66109
DOI: 10.1109/WD.2017.7918126

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