The term Internet of Things (IoT) describes a scenario where embedded systems are integrated into everyday objects, turning them into smart devices to assist the user in his everyday life. Each of these smart objects only offers a very limited amount of computational power since it is only specialized in a limited set of tasks. In order to achieve complex goals, the devices have to interact with each other. Therefore, they do not only need to be interconnected either by wire or through wireless technology but also need a set of common protocols to enable vendor-independent communication. In the past years, various protocols pursuing this objective have emerged. One of the most promising approaches is the Constrained Application Protocol (CoAP) because it offers high interoperability and very low communication overhead at the same time. Typical IoT applications include the observation and manipulation of their environment through sensors and actuators. Since the physical world is continuous in time and does not wait for calculations to finish, it is essential that the execution times of the applications stay within certain boundaries. These timing constraints are referred to as real-time requirements. However, current protocol implementations do not consider real-time requirements for IoT applications. In this paper, we introduce the jCoAP communication stack as a lightweight Java implementation of CoAP. We give a brief introduction to real-time communication and CoAP and provide insight in the design concept of jCoAP and the offered functionalities. Furthermore, a performance evaluation is done in order to point out the suitability of the jCoAP framework for real-time IoT applications.

WLAN mesh networks are one of the key technologies for upcoming smart city applications and characterized by a flexible and low-cost deployment. The amendment IEEE 802.11s introduces low-level mesh interoperability at the WLAN MAC layer. On the physical layer, IEEE 802.11n introduced major improvements such as HT data rates, MIMO techniques, and frame aggregation. However, building large-scale 802.11n/s testbeds and reproducible setups is challenging and costly. On the other hand, existing attempts for down-scaling real-world setups are limited to works without support for 802.11n and 802.11s. We therefore present Mini-Mesh, a miniaturized indoor 802.11n/s testbed. Following a transmission range scaling approach, we deploy a 6×6-node mesh grid on an area of only 1 m ² . We validate the applicability of our method via comparative measurements, exhibiting a deviation of less than 6 % between a scaled indoor and unscaled outdoor setup. Based on these results, we parameterize a path loss model helping us to estimate outdoor dimensions for arbitrary indoor mesh topologies.

WLAN mesh networks are one of the key technologies for upcoming smart city applications and are characterized by a flexible and low-cost deployment. The standard amendment IEEE 802.11s introduces low-level mesh interoperability at the WLAN MAC layer. However, scalability limitations imposed by management traffic overhead, routing delays, medium contention, and interference are common issues in wireless mesh networks and also apply to IEEE 802.11s networks. Possible solutions proposed in the literature recommend a divide-and-conquer scheme that partitions the network into clusters and forms smaller collision and broadcast domains by assigning orthogonal channels. We present CHaChA (Clustering Heuristic and Channel Assignment), a distributed cross-layer approach for cluster formation and channel assignment that directly integrates the default IEEE 802.11s mesh protocol information and operating modes, retaining unrestricted compliance to the WLAN standard. Our concept proposes further mechanisms for dynamic cluster adaptation, including subsequent cluster joining, isolation and fault detection, and node roaming for cluster balancing. The practical performance of CHaChA is demonstrated in a real-world 802.11s testbed. We first investigate clustering reproducibility, duration, and communication overhead in static network scenarios of different sizes. We then validate our concepts for dynamic cluster adaptation, considering topology changes that are likely to occur during long-term network operation and maintenance.

In the recent past, the development of applications and protocols for the Internet of Things (IoT) made a big leap forward. New approaches have emerged to adopt IoT technologies in the realm of industrial automation. This development is also referred to as Industrial Internet of Things (IIoT) or Industry 4.0. It is predicted for the number of smart interconnected devices participating in automation systems to grow significantly in the future. However, the industrial domain introduces new requirements for IoT technologies regarding the timeliness of interactions. Current IoT protocols, like the Constrained Application Protocol (CoAP), do not yet provide real-time behavior for the inter-device communication. In our previous work, we have already proposed a real-time extension for CoAP that enables deterministic network behavior through a TDMA-based approach. We have shown that the proposed mechanisms for time synchronization, time slot management, and access control can be realized purely software-based. However, a central instance is needed as a time server. This introduces a Single Point of Failure (SPoF) to the system, limiting the robustness and scalability of the approach. In this paper, we introduce a concept for a distributed time server for CoAP. The proposed concept includes a refined time synchronization mechanism as well as strategies to select multiple time servers and share information between them. Furthermore, the described amendments to the real-time extension are integrated into the lightweight platform-independent jCoAP communication stack and evaluated in a multi-device real-world test bed.

Vendor-independent interoperability is one of the key-enablers for medical devices in future operating rooms, intensive care units, and medical care in general. Using the paradigm of a Service-Oriented Architecture (SOA) is a promising approach realized by the new IEEE 11073 SDC family of standards. Standard compliant communication stacks will be used to build up systems of networked medical devices. The performance of the stack implementation is crucial for the usability in real-world medical environments. Therefore, we investigate the latency of currently available middleware stacks: SoftICE, openSDC, and OSCLib. The aim is to evaluate the suitability of the underlying concepts, understanding the communication behavior using different hard- and software platforms, and finding problems to support future development. For the latency measurements we build up a use-case independent testbed and instrument the libraries to get more information. On the one hand, our investigations substantiate the suitability of the underlying concept and the available middleware stack implementations. On the other hand, unexpected results occurred, like a strong dependency of communication latency on the combination of hardware platform, Java Virtual Machine (JVM), and JVM configuration and even a strong dependency on the intensity of exchanged data when using Java middleware implementations.