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. We propose two schemes, from an ideal one to a more practical one. 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.
Original language | English |
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Title of host publication | 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) |
Publisher | The Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 473-478 |
Number of pages | 6 |
ISBN (Electronic) | 978-1-5090-4338-5 |
ISBN (Print) | 978-1-5090-4339-2 |
DOIs | |
Publication status | Published - 4 May 2017 |
Event | 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) - Kona, Big Island, HI, USA Duration: 13 Mar 2017 → 17 Mar 2017 |
Conference
Conference | 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) |
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Period | 13/03/17 → 17/03/17 |
Profiles
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Edwin Ren
- School of Computing Sciences - Associate Professor in Computing Sciences
- Cyber Security Privacy and Trust Laboratory - Member
- Data Science and AI - Member
- Smart Emerging Technologies - Member
Person: Research Group Member, Academic, Teaching & Research