-------- Original-Nachricht -------- Betreff: [Tccc] [CFP: ABSTRACT DUE IN 3 DAYS] IEEE Workshop on Cognitive Wireless Sensing Systems for Factory and Logistics Automation (COGSENS 2010) Datum: Thu, 12 Aug 2010 09:58:33 +0200 Von: S.Chatterjea@ewi.utwente.nl An: tccc@lists.cs.columbia.edu
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COGSENS 2010: Workshop on Cognitive Wireless Sensing Systems for Factory and Logistics Automation
held in conjunction with the 6th IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2010)
December 7-10, Brisbane, Australia http://www.issnip.org/2010/symposia.html#Auto
Cognitive, embedded wireless systems have the potential to revolutionize the way factory and logistics automation is carried out by increasing productivity, flexibility and safety while reducing costs. Such systems may be deployed in a variety of environments such as within the building infrastructure, in tools and machinery and embedded in garments or clothing of personnel. This would enable continuous fine-grained monitoring of various processes and operations in typically harsh environments. In addition, the in-built intelligence could allow certain nodes to individually or collaboratively analyse the sensed data and take autonomous decisions to perform certain actuation operations. Cognitive systems could also play an important role in providing real-time feedback to factory or logistics personnel to help improve productivity and safety.
There are, however, numerous challenges in developing such systems. For example, the harsh radio environment present within factories and warehouses makes it essential to develop robust networking protocols that are highly fault tolerant. The limited memory and computational resources on every node means that collaborative algorithms are required to process the sensed data. Certain nodes in the network may be powered using harvested energy (e.g. solar, vibration, etc.). This would require energy management algorithms that would help the system deal with variable levels of energy resources over time. The networking and data processing algorithms need to be highly scalable and support heterogeneous network architectures as a typical large scale network may involve thousands of nodes with differing capabilities in terms of sensing, data generation, processing power and network capability.
This workshop provides a platform for both academic and industrial researchers to demonstrate how cognitive wireless sensing technologies can enhance the operation of present day factory and logistics operations. The topics of interest include, but are not limited to:
- Robust networking protocols (MAC, Routing, Transport, Time synchronization, QoS, Mobility support). - Sensor information processing (Calibration, Adaptive sampling, Signal processing). - Distributed algorithms for data management (Querying, Data aggregation, Coding, Storage). - Theoretical and simulation-based modelling (Mobility models, Fundamental bounds and formulations). - Energy harvesting (Variable energy management algorithms). - In-network data interpretation (Event detection and classification, Situation and context awareness, On-line training and learning, Activity recognition). - Sensor-actuator coordination (Heterogeneous architectures, Distributed control, Adaptive feedback mechanisms). - System support (Operating systems, Network monitoring and management, Network reprogramming, Simulation and debugging tools). - Services (Service discovery, Localization and tracking). - Real-world experiences (Novel applications, Deployments, Experimental testbeds, Measurements).
Important Dates : - Title and Abstract Submission: 15 August 2010 - Paper Submission: 31 August 2010 - Notification of Acceptance: 30 September 2010 - Final Paper Submission: 7 October 2010 - Conference Dates: 7-10 December 2010
Prospective authors are invited to submit full papers, of original material (up to 6 pages in length) electronically. All accepted papers will be published by the IEEE Press and appear in the Conference Proceedings and on IEEE Xplore. See the website for author guidelines. All submitted papers will be subjected to multiple independent peer reviews.
Co-chair: - Paul Havinga, University of Twente, The Netherlands
Organising committee: - Supriyo Chatterjea, University of Twente, The Netherlands - Raluca Marin-Perianu, University of Twente, The Netherlands - Ozlem Durmaz Incel, Bogaziçi University, Turkey
Technical Program Committee: - Sebnem Baydere, Yeditepe University, Turkey - Chun Tung Chou, University of New South Wales, Australia - Ilker Demirkol, Rochester University, USA - Cem Ersoy, Bogazici University, Turkey - Mikael Gidlund, ABB, Sweden - Bhaskar Krishnamachari, University of Southern California, USA - Clemens Lombriser, IBM Zürich Research Laboratory, Switzerland - Mihai Marin-Perianu, University of Twente, Netherlands - Ian Marshall, Lancaster University, UK - Bratislav Milic, Humboldt Univ, Germany - Tim Nieberg, University of Bonn, Germany - Stephan Olariu, Old Dominion University, USA - Atay Ozgovde, Galatasaray University, Turkey - Volkan Rodoplu, University of California, Santa Barbara, USA - Antonio Ruzzelli, University College Dublin, Ireland - Wolfgang Schott, IBM Zürich Research Laboratory, Switzerland - Tim Wark, CSIRO, Australia - Thomas Watteyne, University of California, Berkeley, USA - Michele Zorzi, University of Padova, Italy - Marco Zuniga, National University of Ireland Galway, Ireland
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