Ambrosia: Reduction in Data Transfer from Sensor to Server for Increased Lifetime of IoT Sensor Nodes

TL;DR

Ambrosia is a lightweight protocol that reduces data transmission in IoT sensor networks using timeseries forecasting, significantly extending sensor battery life without compromising data accuracy.

Contribution

It introduces a novel window-based forecasting protocol with configurable error thresholds for energy-efficient data transmission in IoT sensor networks.

Findings

Achieved 60% reduction in data transmission.

Doubled battery lifetime of sensors.

Validated on LoRa and BLE in livestock monitoring.

Abstract

Data transmission accounts for significant energy consumption in wireless sensor networks where streaming data is generatedby the sensors. This impedes their use in many settings, including livestock monitoring over large pastures (which formsour target application). We present Ambrosia, a lightweight protocol that utilizes a window-based timeseries forecastingmechanism for data reduction. Ambrosia employs a configurable error threshold to ensure that the accuracy of end applicationsis unaffected by the data transfer reduction. Experimental evaluations using LoRa and BLE on a real livestock monitoringdeployment demonstrate 60% reduction in data transmission and a 2X increase in battery lifetime.