Joint Latency and Energy-aware Data Management Layer for Industrial IoT

Abstract

In the new generation of industries, Industry 4.0 plays a prominent role to establish the smart manufacturing. The Industrial Internet of Things (IIoT) is one of the main technologies for enabling Industry 4.0 through Cyber-Physical Production Systems (CPPS), digital transformation and supply chain. The common communication model in IIoT relies on publish-subscribe model, in which the data collected and stored in a central controller from sensors to be delivered to actuators. This centralized data management is improper for practical IIoT applications on account of its high communication overhead and incompetence for strict delays and energy constraints in IIoT networks. In this paper, to address the aforementioned issues, we propose a Latencyaware and Energy-efficient Data Management Layer (LEDML) to cache data distributedly in some IoT nodes, referred to as proxy nodes, so that the energy consumption and data access latency are jointly optimized while the realistic IIoT constraints in terms of data access delay and cache utilization are fulfilled.