Hosting multiple radio technologies in computing devices is becoming increasingly feasible, common, and widely-adopted by stakeholders to offer better services. Packet-loss analysis is essential for characterizing and evaluating the behavior of wireless systems, and thereby assists the procedures of delivering the required of quality of service level. This paper presents a packet transmission model, based on a finite-state discrete-time Markov chain. The model is used to calculate the packet loss rates of wireless communications; it is applied to multi-radio devices, and considers different transitions probability distributions. Moreover, this paper presents simulation results of the developed model as well as experimental packet loss rate evaluation of multi-radio devices equipped with 6LoWPAN and Wi-Fi radio interfaces.

The Internet of Things (IoT) is an emerging paradigm where smart objects are seamlessly connected to the overall Internet and can potentially cooperate to achieve common objectives such as supporting innovative home automation services. With reference to such a scenario, this paper presents an Intrusion Detection System (IDS) framework for IoT empowered by IPv6 over low-power personal area network (6LoWPAN) devices. In fact, 6LoWPAN is an interesting protocol supporting the realization of IoT in a resource constrained environment. 6LoWPAN devices are vulnerable to attacks inherited from both the wireless sensor networks and the Internet protocols. The proposed IDS framework which includes a monitoring system and a detection engine has been integrated into the network framework developed within the EU FP7 project `ebbits'. A penetration testing (PenTest) system had been used to evaluate the performance of the implemented IDS framework. Preliminary tests revealed that the proposed framework represents a promising solution for ensuring better security in 6LoWPANs.

The Internet of Things (IoT) concept attracts considerable interest from the academia and industry. This paper provides a set of proof-of-concept prototype descriptions, based on such IoT exploitation, which aim at gathering real-time data along the manufacturing processes that enables a responsive production management and maintenance, including energy consumption and water usage monitoring at each stage of a production cycle. The presented work takes advantage of the ebbits platform, which provides a middleware infrastructure for integrating industrial sensors, devices and emerging wireless technology in the physical world, transforming them into web services that enable seamless integration into mainstream business system such as MES and ERP.

In this paper, we describe a SOA-based middleware to integrate Internet-of-Things technologies in industrial setups. The middleware allows a seamless horizontal integration among heterogeneous technologies and vertical integration with applications and business systems. Using the middleware, we evaluated an approach to improve the reliability of 6LoWPAN-based sensor networks with self-configuration and self-healing capabilities to support an innovative monitoring and control framework in a manufacturing line. The sensor networks were evaluated in a test bed consisting of various physical devices that emulates a welding station.

This work proposes mechanisms enabling connectivity in multi-radio wireless sensor and actuator networks, namely: network discovery, interface/channel switching, and connection-loss recovery. The considered mechanisms are optimized with the aim to maximize the availability of system services (minimize network down-time) and achieve an increased overall robustness. The proposed approach offers dynamicity and adaptability to the constantly changing operating conditions of the different radio interfaces as well as to application-level requirements, and ensures self-organizing and autonomous operations.

Sensor networks applications often involve the collaboration between sensor nodes, thus requiring a time-synchronization service able to provide a common timescale.