Marc Kurz
ABSTRACT
Opportunistic activity and context recognition systems do not presume a static sensor infrastructure that is defined at the design time of a system. They also do not have a fixed recognition goal that has to be accomplished. These systems rather make best use of the available sensor systems according to a sensing mission whereas the topology of a sensor network may change at runtime. To being able to configure the available sensor systems and to react on topological changes in the ambient sensor infrastructure goal-oriented sensing approaches capable of handling dynamic sensor setups have to be developed within the authors PhD-thesis.
- }}G. D. Abowd, A. K. Dey, P. J. Brown, N. Davies, M. Smith, and P. Steggles. Towards a Better Understanding of Context and Context-Awareness. In HUC '99: Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing, pages 304--307, London, UK, 1999. Springer-Verlag. Google Scholar
Digital Library
- }}M. Baldauf, S. Dustdar, and F. Rosenberg. A survey on context-aware systems. Int. J. Ad Hoc Ubiquitous Comput., 2(4):263--277, 2007. Google ScholarDigital Library
- }}M. Botts and A. Robin. OpenGIS sensor model language (SensorML) implementation specification. cep, 52:3.Google Scholar
- }}C.-Y. Chong and S. Kumar. Sensor networks: evolution, opportunities, and challenges. Proceedings of the IEEE, 91(8):1247--1256, Aug. 2003.Google ScholarCross Ref
- }}T. Da and Q. Zhang. A middleware for building context-aware mobile services. In 2004 IEEE 59th Vehicular Technology Conference, 2004. VTC 2004-Spring, volume 5, 2004.Google Scholar
- }}A. Dey and A. Newberger. The Context Toolkit--A Toolkit for Context-aware Applications, 2001.Google Scholar
- }}A. K. Dey. Understanding and using context. Personal Ubiquitous Comput., 5(1):4--7, 2001. Google ScholarDigital Library
- }}F. Dressler. Self-Organization in Sensor and Actor Networks. John Wiley & Sons, December 2007. Google ScholarDigital Library
- }}A. Ferscha. What is Pervasive Computing, pages 93--108. Universitatsverlag Rudolf Trauner, June 2003.Google Scholar
- }}J. Indulska and P. Sutton. Location management in pervasive systems. In ACSW Frontiers '03: Proceedings of the Australasian information security workshop conference on ACSW frontiers 2003, pages 143--151, Darlinghurst, Australia, Australia, 2003. Australian Computer Society, Inc. Google ScholarDigital Library
- }}D. Puccinelli and M. Haenggi. Wireless sensor networks: applications and challenges of ubiquitous sensing. IEEE Circuits and Systems Magazine, 5:2005, 2005.Google ScholarCross Ref
- }}D. Roggen, A. Calatroni, M. Rossi, T. Holleczek, K. Forster, G. Troster, P. Lukowicz, D. Bannach, G. Pirkl, A. Ferscha, J. Doppler, C. Holzmann, M. Kurz, G. Holl, R. Chavarriaga, M. Creatura, and J. del R. Milln. Collecting complex activity data sets in highly rich networked sensor environments. In Proceedings of the Seventh International Conference on Networked Sensing Systems (INSS), Kassel, Germany, June 2010.Google ScholarCross Ref
- }}D. Roggen, K. Forster, A. Calatroni, A. Bulling, T. Holleczek, G. Troester, P. Lukowicz, G. Pirkl, D. Bannach, A. Ferscha, A. Riener, C. Holzmann, R. Chavarriaga, and J. del R. Milln. OPPORTUNITY: activity and context awareness in opportunistic open-ended sensor environments. In Poster at the 1st European Future Emerging Technologies Conference (FET 2009), Prague, Czech Republic, April 2009.Google Scholar
- }}D. Roggen, K. Forster, A. Calatroni, T. Holleczek, Y. Fang, G. Troester, P. Lukowicz, G. Pirkl, D. Bannach, K. Kunze, A. Ferscha, C. Holzmann, A. Riener, R. Chavarriaga, and J. del R. Milln. OPPORTUNITY: Towards opportunistic activity and context recognition systems. In Proceedings of the 3rd IEEE WoWMoM Workshop on Autonomic and Opportunistic Communications (AOC 2009), Kos, Greece, June 2009. IEEE CS Press.Google ScholarCross Ref
- }}T. Stiefmeier, D. Roggen, G. Troster, G. Ogris, and P. Lukowicz. Wearable activity tracking in car manufacturing. Pervasive Computing, IEEE, 7(2):42--50, April-June 2008. Google ScholarDigital Library
- }}M. Tentori and J. Favela. Activity-aware computing for healthcare. IEEE Pervasive Computing, 7:51--57, 2008. Google ScholarDigital Library
- }}C. N. Ververidis and G. C. Polyzos. Service discovery for mobile ad hoc networks: A survey of issues and techniques. IEEE Communications Surveys and Tutorials, 10(1-4):30--45, 2008. Google ScholarDigital Library
- }}J. Yick, B. Mukherjee, and D. Ghosal. Wireless sensor network survey. Computer Networks, 52(12):2292 -- 2330, 2008. Google ScholarDigital Library
- }}M. Younis, Dr. and S. Z. Ozer, Dr. Wireless ad hoc networks: technologies and challenges: Editorials. Wirel. Commun. Mob. Comput., 6(7):889--892, 2006. Google ScholarDigital Library
Index Terms
- Goal-driven opportunistic sensing
Recommendations
Cognitive radio-based clustering for opportunistic shared spectrum access to enhance lifetime of wireless sensor network
In recent times, Cognitive radio (CR)-based wireless sensor networks (WSNs) have been widely used for opportunistic access of the shared spectrum. In WSNs, deployment of sensor nodes (SN) may be random, or it may follow an optimized approach-based upon ...
Smartphone with Augmented Gateway Functionality as Opportunistic WSN Gateway Device
Sensors and actuators are being increasingly deployed for monitoring and controlling different phenomena and processes in a stand-alone manner or attached to sensor nodes with communication capabilities as part of larger wireless sensor networks (WSN). ...
Smart Home Sensor Networks Pose Goal-Driven Solutions to Wireless Vacuum Systems
ICHIT '06: Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 02Home sensor nodes are devices embedded in home appliances and are designed to sense environments, to process collected information, to perform a specific task, and to cooperate with other units. The advances of VLSI technologies and wireless sensor ...
Comments