As the complexity of Internet of Things (IoT) systems increases, a large variety of tools and technologies for IoT management are making their way into both research setups and the market. IoT management solutions must consider the resource restrictions of embedded devices, as well as their heterogeneity and network dynamics. With these in mind, the Internet Engineering Task Force developed several standards targeting the integration and interoperation of heterogeneous devices, such as the Representational State Transfer Configuration Protocol (RESTCONF) or the Constrained Application Protocol (CoAP) Management Interface. Concurrently, the Open Mobile Alliance developed the Lightweight Machine-to-Machine protocol, for IoT device management. This paper provides a comprehensive, up-to-date overview of IoT management technologies, frameworks and protocols. Also, it proposes a taxonomy for IoT devices management. In addition to presenting the various solutions, the paper provides comparative views, standardization timeline, and market analysis. The presented analysis ranges from traditional network management protocols, such as Simple Network Management Protocol, to the newest IoT management and configuration protocols, such as CoAP Management Interface and Lightweight Machine-to-Machine protocols. Moreover, this survey identifies remaining challenges and solutions offered by recent management protocols, not covered by previous surveys.

Dependability and standardization are essential to the adoption of Wireless Sensor Networks (WSN) in industrial applications. Standards such as ZigBee, WirelessHART, ISA100.11a and WIA-PA are, nowadays, at the basis of the main process-automation technologies. However, despite the success of these standards, management of WSNs is still an open topic, which clearly is an obstacle to dependability. Existing diagnostic tools are mostly application- or problem-specific, and do not support standard-based multi-network monitoring. This paper proposes a WSN monitoring architecture for process-automation technologies that addresses the mentioned limitations. Specifically, the architecture has low impact on sensor node resources, uses network metrics already available in industrial standards, and takes advantage of widely used management standards to share the monitoring information. The proposed architecture was validated through prototyping, and the obtained performance results are presented and discussed in the final part of the paper. In addition to proposing a monitoring architecture, the paper provides an in-depth insight into metrics, techniques, management protocols, and standards applicable to industrial WSNs.

Use of wireless sensor networks (WSNs) in conjunction with mobile devices is growing on a daily basis. Mobile phones are not only personal devices that provide communication services, but also versatile and resourceful elements in the Internet of Things (IoT). Nevertheless, despite the referred growth, one key aspect for real-world IoT deployments is still largely overlooked: reliability. In this respect, there is a clear gap between theoretical models and real implementations, as no practical reliability mechanisms are in place for IoT. Proposing, studying, and providing IoT reliability solutions is, thus, fundamental for the massive deployment of IoT technology across all sectors of society. In this context, the main purpose of this paper is to propose, explore, and assess reliability mechanisms for IoT scenarios, based on the use of redundant routes and devices that take advantage of mobile devices, as key elements of IoT. These mechanisms were evaluated in a variety of failure scenarios, both theoretically and through implementations constructed with real, off-the-shelf equipment, showing their good capability to maintain effective communication even in the presence of link failures.

The rise in number and complexity of Internet of Things (IoT) devices and networks has led to a profusion of tools and technologies that aim to facilitate IoT management. These management solutions must consider the resource restrictions of embedded devices, their heterogeneity and network dynamics. In this context, the Internet Engineering Task Force (IETF) engaged itself in an effort to develop standards that allow for the integration and interoperation of heterogeneous devices, such as RESTCONF and CoMI (CoAP Management Interface). On the other hand, the Open Mobile Alliance (OMA) is developing a protocol for IoT device management named Lightweight Machine-to-Machine (LwM2M). This paper provides an overview of management protocols for IoT devices. The presented analysis ranges from traditional network management protocols, such as Simple Network Management Protocol (SNMP), to the newest protocols used for management and configuration of IoT devices, such as the already mentioned CoMI and LwM2M protocols. In addition, this paper also provides an analysis of the challenges of IoT device management.

Day-to-day gadgets, like smartphones, are becoming increasingly more intelligent and interconnected. In fact, the "Internet of Things" is being used to support many new types of cyber-physical systems (CPSs). These interconnected and intelligent devices use various sensors which can be used to monitor and evaluate human parameters, and improving the humans' life quality. In this work we present WeDoCare, an implementation of a Human-in-the-Loop Cyber-Physical System (HiTLCPS) that attempts to help solve issues in real-world scenarios. Having in mind the refugee crisis in Europe, WeDoCare aims to detect, in an automated way and in real-time, violent attacks against users through a scream detector, using the mobile phones sensors, in particular the microphone. This data is processed through a signal processing algorithm to infer emergency situations. When an emergency is detected, it warns nearby citizens that someone is in danger, allowing for crowd collaboration and altruism. The application also contains an innovative beacon system so that communication with nearby or surrounding people isn't limited by an Internet connection. Since it is necessary that our implementation lasts as much as possible, we performed some battery-level tests, to realize the involvement of some application parameters with the battery drainage. We also evaluated the range of the beacon system.