Privacy in ubiquitous computing environments is primarily considered as a problem of protecting personal information from unauthorized access and misuse. Additionally it can also be seen as a process of interpersonal communication where not hiding but selective disclosure of personal information is the central issue, i.e. how users can practice privacy intuitively and dynamically in computerized environments similar to the analog world. In this work we discuss the management of private information concerning interpersonal privacy implications in smart environments. Existing work mostly does not match the intuitive and dynamic aspects of privacy in context of interpersonal communication. As an alternative we suggest an ad hoc approach to privacy management which uses learning techniques for an in situ disclosure assistance and present user interaction models for this disclosure assistance.
Mobile real-time services require wireless networks with low handoff latencies. This paper focuses on the handoffrelated MAC-Layer scanning latencies in IEEE 802.11-based Fixed Relay Radio Access Networks (FRRAN). The IEEE 802.11 scanning procedure is known to have latencies of 300 to 550 ms, which exceeds the requirements of real-time applications like Voice over IP (VoIP) by far. Previous solutions for this problem have only focused on the IEEE 802.11 infrastructure mode. However, the IEEE 802.11 ad-hoc mode is a better basis for FRRANs because it enables mobile nodes to use all relays in range, e.g. for load balancing purposes, instead of being associated to a single access point only as in infrastructure mode. Therefore, we present a novel fast-scan concept for IEEE 802.11 ad-hoc-mode-based FRRANs. The key idea is to answer MAC-layer probe requests by IP-based probe responses, which are sent back to a scanning node via the FRRAN infrastructure. The benefit of this cross-layer concept is that scanning nodes can return to their current channel quickly and can continue to send and receive normal data packets while awaiting the IP-based probe responses. We implemented our solution for commodity IEEE 802.11 hardware and could reduce scanning latencies to 70 to 80 ms.
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