An architecture for a secure service discovery service
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Communications of the ACM
Wireless integrated network sensors
Communications of the ACM
Adaptive interaction for enabling pervasive services
Proceedings of the 2nd ACM international workshop on Data engineering for wireless and mobile access
Preemptive routing in Ad Hoc networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Dynamic fine-grained localization in Ad-Hoc networks of sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
Time Synchronization for Wireless Sensor Networks
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Detecting Context in Distributed Sensor Networks by Using Smart Context-Aware Packets
ARCS '02 Proceedings of the International Conference on Architecture of Computing Systems: Trends in Network and Pervasive Computing
Context-aware metadata creation in a heterogeneous mobile environment
NOSSDAV '05 Proceedings of the international workshop on Network and operating systems support for digital audio and video
Developing design guidelines for context-aware mobile applications
Mobility '06 Proceedings of the 3rd international conference on Mobile technology, applications & systems
Context-aware systems: A literature review and classification
Expert Systems with Applications: An International Journal
Context-Aware Mobile Media and Social Networks
Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services
Interaction and end-user programming with a context-aware mobile application
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
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Context detection for mobile users plays a major role for enabling novel, human-centric interfaces. For this, we introduce a context detection scheme applicable in a self-organized sensor network, which is formed of disseminated, computer empowered sensors, referred to as Smart-Its [1]. Context-detection takes place without requiring any central point of control, and supports push as well as pull modes. Our solution is based on an in-network composition approach relying on so-called smart Context-Aware Packets (sCAPs). These packets act as a uniform interchange format, and allow single sensors to share sensed data and to cooperate to build up a meaningful context model from manifold inputs. sCAPs travel through the sensor network governed by an enclosed retrieving plan, specifying which sensors to visit in order to gain a specific piece of context information. For enhanced flexibility, the retrieving plan itself may be dynamically altered in accordance with past sensor readings.