Management Platforms and Protocols for Internet of Things: A Survey

Abstract

Internet of Things (IoT) management systems require scalability, standardized communication, and context-awareness to achieve the management of connected devices with security and accuracy in real environments. Interoperability and heterogeneity between hardware and application layers are also critical issues. To attend to the network requirements and different functionalities, a dynamic and context-sensitive configuration management system is required. Thus, reference architectures (RAs) represent a basic architecture and the definition of key characteristics for the construction of IoT environments. Therefore, choosing the best technologies of the IoT management platforms and protocols through comparison and evaluation is a hard task, since they are difficult to compare due to their lack of standardization. However, in the literature, there are no management platforms focused on addressing all IoT issues. For this purpose, this paper surveys the available policies and solutions for IoT Network Management and devices. Among the available technologies, an evaluation was performed using features such as heterogeneity, scalability, supported technologies, and security. Based on this evaluation, the most promising technologies were chosen for a detailed performance evaluation study (through simulation and deployment in real environments). In terms of contributions, these protocols and platforms were studied in detail, the main features of each approach are highlighted and discussed, open research issues are identified as well as the lessons learned on the topic.

An Empirical Study on System Level Aspects of Internet of Things (IoT)

“…The widespread of IoT is because of its benefits like sensing, processing, communicating, and actuating capabilities. The issues like Mobility, Interoperability, Privacy & Security, Storage Management, and Device [110]. To achieve the IoT features such as sensing and actuation, unique identity, ubiquity, communication, intelligence, selfconfiguration and adaption and effective service delivery following challenges need to be considered.…”

Digital Transformation of Agriculture through the Use of an Interoperable Platform

“…These platforms collect and store data in a distributed database for the filtering, analysis, calculation, decision making, management, translation, and visualization of data in new services. Several analyses of the different types of platforms for the integration of IoT services and their characteristics can be found, such as that provided by Silva et al [26], although a results comparison is difficult because of the lack of standardization.…”

A Software-Defined IoT Device Management Framework for Edge and Cloud Computing

“…IoT deployments include devices with heterogeneous and/or constrained compute, storage, and connectivity capabilities. As a result, device interoperability, scalability, are serious issues for device management [3], [16], [5], [31]. To deal with them, protocols and frameworks were proposed and extended by researchers and international communities for standardization (i.e., the Open Mobile Alliance (OMA), the Broad Band Forum (BBF), the Internet Engineering Task Force (IETF), and the International Standard Organization (ISO)).…”

“…Two widely used application layer protocols for IoT device management are the IETF Constrained Application Protocol (CoAP) [15], [31], and the ISO Machine Queue Telemetry Transport protocol (MQTT) [15]. For device monitoring purposes, CoAP adds a unified Resource Identifier (URI) to each IoT device and send regular pings to check their availability.…”