An On-Demand TDMA Approach Optimized for Low-Latency IoT Applications

被引：0

作者：

Prapas, Antonios ^{[1
]}

Kantelis, Konstantinos F. ^{[1
]}

Nicopolitidis, Petros ^{[1
]}

Papadimitriou, Georgios I. ^{[1
]}

机构：

[1] Aristotle Univ Thessaloniki, Dept Informat, Thessaloniki 54124, Greece

来源：

SENSORS | 2022年 / 22卷 / 17期

关键词：

Internet of Things; LoRa; on-demand TDMA; LORA;

D O I：

10.3390/s22176461

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

The never-ending evolution of the Internet of Things ecosystem is reshaping the arena of wireless communications and competing against conventional networking solutions in fields such as battery life, device and deployment cost, coverage, and support for an immense number of devices. Inspired by this phenomenon, this paper presents a novel Medium Access Control protocol utilizing long-range technology, based on a Time Division Multiple Access communication protocol variant, adjusted to make better use of each device's hardware. Focusing on Low Power Wide Area Network applications, this implementation improves data latency and offers amplified performance due to better network awareness and dynamic time slot rescheduling. Various simulation scenarios were contrived to evaluate the protocol's performance. The results instate the proposed algorithm as a promising access scheme for the IoT field.

引用

页数：15

共 15 条

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