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.
Highlights
In recent years, Internet of Things (IoT) technology has been increasingly applied to various fields, such as medical and health care, food supply chains, mine safety, transportation, and logistics [1]
This paper proposes a storage layer monitoring (SLM) method to perceive the state of the Environmental Internet of Things (EIoT) system, which makes it possible to perform maintenance of the EIoT system according to SLM results
Based on analysis of the management pattern of existing EIoT systems, this paper presents the SLM method to perceive the state of EIoT systems
Summary
Internet of Things (IoT) technology has been increasingly applied to various fields, such as medical and health care, food supply chains, mine safety, transportation, and logistics [1]. Quan applied IoT to environmental noise monitoring and designed a noise monitoring system based on a wireless sensor network [5]. R. Zheng et al.: Unified Management Framework for EIoT Systems Based on Metadata and Event Detection other environmental factors. Zheng et al.: Unified Management Framework for EIoT Systems Based on Metadata and Event Detection other environmental factors These systems require long-term deployment and the adopted technology and devices are iteratively updated. The sensing devices and network equipment in the EIoT are increasing This is increasing the heterogeneity of devices, data formats, and measurement procedures. These heterogeneities exist widely in the sensing layer, transport layer, and application layer of EIoT systems [9]. An ontology-based event monitoring and fault diagnosis mechanism should be designed
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
