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DCOSS 2015 : International Conference on Distributed Computing in Sensor Systems


Conference Series : Distributed Computing in Sensor Systems
When Jun 10, 2015 - Jun 12, 2015
Where Fortaleza, CE, Brazil
Abstract Registration Due Feb 15, 2015
Submission Deadline Feb 22, 2015
Notification Due Apr 4, 2015
Final Version Due Apr 16, 2015

Call For Papers

Distributed sensor systems have become a highly active research area due to their potential for providing diverse new capabilities applications. The focus of the IEEE DCOSS conference is on distributed computing issues in large scale networked sensor systems (including algorithms and applications, systems design techniques and tools, and in-network signal and information processing). The conference normally features three tracks on Algorithms, Systems, and Signal Processing. All accepted papers will be included in the symposium proceedings, which will be published by the IEEE Computer Society Conference Publishing Services and submitted to the IEEE Xplore Digital Library. Authors are invited to submit original unpublished manuscripts that demonstrate current research on computational aspects of distributed sensor systems. Extended versions of selected papers will be considered for publication in IEEE IoT Journal.
Topics of interest include but are not limited to:
Social networks and crowdsensing
Sensors for Smart Grid systems, green networks and sustainability
Computation and programming models
Energy models, minimization, awareness
Distributed collaborative information processing
Detection and tracking
Theoretical performance analysis: complexity, correctness, scalability
Abstractions for modular design
Fault tolerance and security
Languages, operating systems
Task allocation, reprogramming and reconfiguration
Dynamic resource management
Scalable, heterogeneous architectures (node and system-level)
Middleware interfaces, communication and processing primitives
Design, simulation and optimization tools for deployment and operation
Design automation and application synthesis techniques
Closed-loop control for sensing and actuation
Case studies: lessons from real world deployments
Network coding and compression

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