In this paper we discuss how to configure a ubiquitous environment in such a way that diverging privacy requirements in a multi user environment can be satisfied. I.e. we are investigating how to make sure that concerned as well as open minded users can be satisfied, at the same time at the same place. In order to reduce overhead and increase granularity of objects to be managed we propose to cluster all available sensors to what we call virtual sensors. All further operations such as allowing or suppressing sensor data are done on the virtual sensors. This concept allows to adapt the environment to diverging needs of several users automatically. Users are enabled to configure the environment by a one stop approach. We will introduce the concept of virtual sensors and discuss our privacy management architecture that exploits this virtual sensor concept to adapt a pervasive system to contradicting privacy requirements.
Privacy in the Internet is currently not addressed or just stated to tacit acceptance. The user is left to either accept or deny the contractual conditions. A negotiation and thus dynamic contract placement would allow for fairer chances concerning privacy. This article introduces a data-model to describe negotiation preferences and the resulting contracts. It is described, how proposals of contracts are to be compared with the preferences for acceptance and what steps of negotiation can be taken. This model is examined for privacy contracts between Enterprises and their customers.
Since wireless sensor networks are successfully deployed in real life scenarios, applications in medical health-care, structural control, homeland security etc. become feasible. In those envisioned applications, easy maintenance and usability become crucial to staff members, e.g., to doctors or nurses. Not only for widespread distribution of hundreds of sensors, but also in tele-medical applications, remotely-controlled sensing and maintenance without direct access to sensors is required. For this purpose we present a middleware abstraction based on the standard Java Mobile Sensor API (JSR-256). It allows transparent access to sensor measurements, sensor information and maintenance data, which appear as local sensor resources to the user even if the sensors are connected via network. Hence, the user neither requires technical skills nor location information to request sensor data. This paper gives an architectural and functional overview of our middleware within the context of telemedicine. We demonstrate how our middleware approach supports patient monitoring for pre-and post-operative treatment at home.
Wireless Sensor Networks (WSN) are considered to be the key-enabler for low cost highly distributed applications in the area of homeland security, healthcare, environmental monitoring etc. A necessary prerequisite is reliable and efficient event detection. This paper introduces a novel approach for event configuration and in network processing, called Event Decision Trees (EDT). An EDT enables every node to self-divide event queries according to its resources. EDT autonomously adapt to the tasks assigned, even though it requires to organize collaboration between nodes to deliver expected results. The effort for maintain formal EDT is evaluated by analysis and simulations. Our results show that the proposed lease-based mechanism for maintaining producer/consumer pairs in an EDT outperforms even idealized Acknowledgment-based approaches.
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