Balanced Space- and Time-based Duty-cycle Scheduling for Light-based IoT

TL;DR

This paper introduces BST-TDMA, a novel MAC protocol for Light-based IoT that optimizes environmental sensing by balancing spatial and temporal duty-cycles, enhancing measurement coverage and efficiency.

Contribution

It presents a new scheduling algorithm tailored for batteryless LIoT nodes, focusing on environmental sensing applications and balancing space-time factors for improved data collection.

Findings

BST-TDMA efficiently schedules duty-cycles within given intervals

Improves environmental sensing coverage and uniformity

Enhances measurement distribution in LIoT networks

Abstract

In this work, we propose a Multiple Access Control (MAC) protocol for Light-based IoT (LIoT) networks, where the gateway node orchestrates and schedules batteryless nodes duty-cycles based on their location and sleep time. The LIoT concept represents a sustainable solution for massive indoor IoT applications, offering an alternative communication medium through Visible Light Communication (VLC). While most existing scheduling algorithms for intermittent batteryless IoT aim to maximize data collection and enhance dataset size, our solution is tailored for environmental sensing applications, such as temperature, humidity, and air quality monitoring, optimizing measurement distribution and minimizing blind spots to achieve comprehensive and uniform environmental sensing. We propose a Balanced Space and Time-based Time Division Multiple Access scheduling (BST-TDMA) algorithm, which addresses environmental sensing challenges by balancing spatial and temporal factors to improve the environmental sensing efficiency of batteryless LIoT nodes. Our measurement-based results show that BST-TDMA was able to efficiently schedule duty-cycles with given intervals.