A unified management framework for EIoT systems based on metadata and event detection

Abstract

Environmental Internet of Things (EIoT) has been widely applied in environmental monitoring. However, unified management, which is important for improving the operability and interoperability of EIoT systems, is difficult to perform due to the ubiquitous heterogeneity of EIoT systems. This paper puts forward an analysis of EIoT system management patterns and then proposes a storage layer monitoring (SLM) method to understand the state of EIoT systems, which is the basis for systems’ management. A unified management framework for EIoT systems based on SLM is proposed, which includes event detection and fault diagnosis assistance. The framework uses a database to store metadata pertaining to each EIoT system, which are mostly registered as ontologies. Based on pre-registered metadata, users can create listeners for events, which is applicable for detecting events occurring in specific EIoT storage layers through the SLM method. The fault diagnosis assistance function can provide ontology-based evidence and other useful information about the participating objects of the event in the system, which is helpful for identifying the cause of each event. This framework could satisfy the requirements for multiple EIoT systems’ management.