|
The Second International Conference on Sensor Technologies and Applications
SENSORCOMM 2008
August 25-31, 2008 - Cap Esterel, France |
Technical Co-Sponsors and Logistics Supporters |
|
|
technical cosponsor
IEEE Computer Society - Portugal Chapter |
|
Archive: 2007 |
technical cosponsor
|
technical cosponsor
IEEE ComSoc - France Chapter |
printer friendly: |
|
|
|
- Colocated with SECURWARE 2008 and MESH 2008
- Featuring the workshops:
- UNWAT 2008: The Second International Workshop on Under Water Sensors and Systems
- ENOPT 2008: The Second International Workshop on Energy Optimization in Wireless Sensor Networks
|
Publisher: IEEE Computer Society Conference Publishing Services
Posted: IEEE Digital Library
Indexing process |
Important deadlines:
Submission deadline |
April 5, 2008 April 15, 2008 |
Notification |
May 15, 2008 May 19, 2008 |
Registration and camera ready |
June 1, 2008 June 5, 2008 |
Tracks:
APASN: Architectures, protocols and algorithms of sensor networks
Network planning, provisioning and deployment;
Network Architectures for Sensor Networks;
Network Protocols for Sensor Networks;
Structural design;
Distributed Sensor Networks;
Dynamic sensor networks;
Scalable and heterogeneous architectures;
Hierarchical clustering architectures;
Group-based Architectures;
Network topologies;
Mesh networking;
Device centric sensor networks;
Distributed coordination algorithms;
Topology construction;
Routing protocols;
Routing Metrics;
Distributed Algorithms;
Attribute-based named nets;
Mobility and Scalability;
Attribute-based named Sensor Networks;
Query optimization;
Self-organization and self-configuration algorithms;
Reconfigurability;
Time Synchronization;
MAC protocols for sensor networks (801.11, 802.15.4, UWB, etc);
Location and time service;
Integration with other systems;
Distributed inference and fusion;
Cross-layer design and optimization;
Complexity analysis of algorithms;
Sensor networks and the Web;
Integration with other systems (e.g., Web-based information systems, process control, enterprise software, etc.);
Target tracking;
RFID tags;
Traffic scheduling
MECSN: Energy, management and control of sensor networks
Energy models;
Energy optimization;
Energy management;
Power-aware and energy-efficient design; Power sources in sensor networks;
Battery technology;
Power management;
Algorithms and theories for management;
Communication strategies for topology control;
Algorithms and theories for supervisory control;
Sensor tasking and control;
Distributed control and actuation;
Location and mobility management;
Bandwidth management;
Distributed networked sensing;
Resource provisioning;
Resource management and dynamic resource management;
Schemes to maximize accuracy and minimize false alarms;
Online self-calibration and self-testing;
Handoff and mobility management and seamless internetworking;
Distributed actuation and control;
Topology control
RASQOFT: Resource allocation, services, QoS and fault tolerance in sensor networks
Algorithms to support quality of service in sensor networks;
Protocols to support quality of service in sensor networks;
QoS/SLA in sensor networks;
Provisioning of QoS in terms of bandwidth and delay assurance;
System services and distributed services in sensor networks;
Delay tolerant networks and opportunistic networking;
Failure resilience and fault isolation;
Information assurance in sensor networks;
Fault tolerance and reliability;
Admission control;
Resource allocation and fairness;
Real-time resource scheduling;
Scheduling and optimisation;
Capacity planning
PESMOSN: Performance, simulation and modelling of sensor networks
Performance measurement of sensor networks;
Performance evaluation and analysis of sensor networks;
Performance comparison on capacity, coverage and connectivity;
Modelling techniques of sensor networks;
Validation of sensor network architectures;
Simulation and theoretical analysis;
Simulation software tools and environments;
Theoretical performance analysis: complexity, correctness and scalability;
Design, simulation and optimization tools for deployment and operation;
Platform modelling and analysis tools;
Analytical, mobility and validation models;
System debugging and testing
SEMOSN: Security and monitoring of sensor networks
Security and privacy in sensor networks;
Reliability aspects in sensor networks;
Monitoring distributed sensor networks;
Mechanisms for authentication;
Secure communication in sensor networks;
Encryption algorithms for sensor networks;
Sensor secure management;
Data integrity;
Trustworthiness issues in sensor networks;
Trade-off analysis
SECSED: Sensor circuits and sensor devices
Methods for sensor deployment;
Instrumentation and models for deployment of sensors networks;
Sensor architecture;
Abstractions for modular design;
Design and deployment of embedded system platforms;
Embedded architectures and tools;
Embedded processors;
Embedded chip design;
Micro and Nano devices;
Biosensors;
Optical sensors;
Smart sensors;
Acoustic Sensors;
Microwave sensors;
Middleware design;
Sensor Prototypes;
Sensor node components;
Sensor interfaces;
Actuators;
Independent Component Analysis;
Design of cost effective and economical sensors;
Smart Material Applications to design sensors;
Microfabrication Technologies for Microsystem Integration;
Integration of sensors into engineered systems;
Hardware platforms;
Test-beds incorporating multiple sensors;
Operating system and middleware support
RIWISN: Radio issues in wireless sensor networks
Wireless Sensor Communications;
Network connectivity & longevity;
Tracking objects;
Geo-location problems;
Network coverage;
Algorithms for sensor localization and tracking;
Detection, classification and estimation;
Physical layer impact on higher level protocols;
Directional and smart antennas for sensor networks;
Coverage maintenance;
Transceiver and antenna design;
Ubiquitous wireless connectivity
SAPSN: Software, applications and programming of sensor networks
Applications and demonstrations of sensor networks;
Software platforms and development tools;
Architectural design and optimization tools for sensor nodes;
Computation and programming models of sensor networks;
Languages and operating systems of Sensors;
Programming and Interfacing;
Programming abstraction;
Programming models for sensors;
Programming methodology for sensor environments;
Intelligent sensor theory and applications;
Machine learning applications to sensor networks;
Wireless sensor applications;
Applications for sensor network management;
Software tools for chip programming;
Application requirements;
Application evaluation and comparison;
Demos and prototype testing
DAIPSN: Data allocation and information in sensor networks
Techniques for the interpretation and use of sensor data in decision-making processes;
Distributed data processing;
Distributed signal processing;
Array signal processing;
Statistical signal processing;
Distributed query processing;
Distributed information processing;
Distributed algorithms for collaborative information and signal processing;
Task allocation, reprogramming and reconfiguration;
Coding and information theory;
In-network processing and aggregation;
Data analysis and visualisation;
Data storage in sensor networks;
Data retrieval;
Data dissemination;
Data compression and aggregation;
Data transport in wireless sensor networks;
Data gathering and fusion in wireless sensor networks;
Theories and models on fundamental information and communication aspects of sensor networks;
Redundancy
DISN: Deployments and implementations of sensor networks
Methods for sensor networks deployment;
Practical implementations and real-world experiences;
Real-life deployments;
System implementation;
End-user aspects;
Operational experience and test-beds;
Industrial and commercial developments and applications;
Measurements from experimental systems, test-beds and demonstrations;
Intelligent sensors, body sensors and their utilisation;
Analysis of real-world systems and fundamental limits;
Smart Sensors for building surveillance;
Sensing in health care;
Games using sensor networks;
Peer-to-peer, overlay, and content distribution wireless sensor networks;
Use cases (e.g., Automotive, Battlefield, Defense, Construction, Disaster recovery, Environmental, Medical, Security, Biomedical, Unmanned Aerial Vehicles, etc.);
Sensor networks for Rural and Agricultural environments;
Sensors for railway systems;
Pattern Recognition;
Machine Intelligence;
Sensor-equipped Smart Environment;
Deployments in Harsh Environments;
Potential application areas