Wireless Sensor and Actuator Networks (WSNs) are distributed sensor and actuator networks that monitor and control real-world phenomena, enabling the integration of the physical with the virtual world. They are used in domains like building automation, control systems, remote healthcare, etc., which are all highly process-driven. Today, tools and insights of Business Process Modeling (BPM) are not used to model WSN logic, as BPM focuses mostly on the coordination of people and IT systems and neglects the integration of embedded IT. WSN development still requires significant special-purpose, low-level, and manual coding of process logic. By exploiting similarities between WSN applications and business processes, this work aims to create a holistic system enabling the modeling and execution of executable processes that integrate, coordinate, and control WSNs. Concretely, we present a WSNspecific extension for Business Process Modeling Notation (BPMN) and a compiler that transforms the extended BPMN models into WSN-specific code to distribute process execution over both a WSN and a standard business process engine. The developed tool-chain allows modeling of an independent control loop for the WSN.

As the Wireless sensor/actuator networks (WSNs) started to be deployed in enterprise scenarios, the need of integration of WSN applications with enterprise business processes has emerged. Creation of the WSN applications in enterprises, however, requires much low-level programming, and this causes the loss of focus on the high level goals. Therefore a model-driven approach is needed. As Business Process Model and Notation (BPMN) is the de-facto standard of modeling business processes, it is suitable for companies to use BPMN for the model-driven approach. In this work, first we analyze the WSN properties, which distinguish them from traditional IT systems. Thereafter, we analyze the general properties of BPMN which need to be preserved to keep the common understanding that BPMN brings. As a result, we end up with some properties that are relevant with modeling WSN processes in BPMN. From these properties, we derive the requirements for modeling WSNs and propose some extensions to standard BPMN. These extensions include a new type of task, a new type of pool and a new grouping structure to set performance goals of the corresponding WSN. Afterwards, we analyze the current state of art to compare our approach with other possible approaches. Specifically, we compare our approach with standard BPMN, BPM4People extensions with respect to requirements and show that why our proposals provide a more comprehensive and suitable approach.

When information is available about the path, on which individual items move through the real world, many beneficial applications can be designed. The necessary data can be generated through attaching identifiers to items and deploying suitable readers all over the supply chain that capture the information on the identifiers. Organizations only have access to data about item movements within their organizational boundaries. Therefore sharing of data between organizations is required to gain full visibility. However, the willingness of organizations to share data is considered to be low. In this paper we present the results of a study that aimed at investigating the actual willingness of companies to share item-level data and at exploring the perceived privacy risks that may restrain companies from sharing item-level data. From the findings, requirements for the design of inter-organizational data sharing infrastructures are derived.

Abstract. Traces of RFID-equipped item can be used to detect counterfeits. Nevertheless companies are reluctant to share the necessary traces, since it is unclear what can be inferred from them. In this paper we present a provably secure pattern matching algorithm that can be used for distributed anomaly detection. We improve performance and detection capabilities compared to competing approaches by storing partial, malleable information on the RFID tag.

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