On the interdependence of routing and data compression in multi-hop sensor networks
Proceedings of the 8th annual international conference on Mobile computing and networking
The Impact of Data Aggregation in Wireless Sensor Networks
ICDCSW '02 Proceedings of the 22nd International Conference on Distributed Computing Systems
Distributed Source Coding: Symmetric Rates and Applications to Sensor Networks
DCC '00 Proceedings of the Conference on Data Compression
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Minimizing communication costs in hierarchically-clustered networks of wireless sensors
Computer Networks: The International Journal of Computer and Telecommunications Networking
Backcasting: adaptive sampling for sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Spatio-temporal correlation: theory and applications for wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: In memroy of Olga Casals
Data-Coverage Sleep Scheduling in Wireless Sensor Networks
GCC '08 Proceedings of the 2008 Seventh International Conference on Grid and Cooperative Computing
Weatherman: Automated, Online and Predictive Thermal Mapping and Management for Data Centers
ICAC '06 Proceedings of the 2006 IEEE International Conference on Autonomic Computing
Thermal aware server provisioning and workload distribution for internet data centers
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Cooling-aware and thermal-aware workload placement for green HPC data centers
GREENCOMP '10 Proceedings of the International Conference on Green Computing
Proactive thermal management in green datacenters
The Journal of Supercomputing
An autonomic resource provisioning framework for mobile computing grids
Proceedings of the 9th international conference on Autonomic computing
| Hi-index | 0.00 |
Adaptive sampling and sleep scheduling can help realize the much needed resource efficiency in densely deployed autonomic sensor-based systems that monitor and reconstruct physical or environmental phenomena. This paper presents a data-centric approach to distributed adaptive sampling aimed at minimizing the communication and processing overhead in autonomic networked sensor-based systems. The proposed solution exploits the spatio-temporal correlation in sensed data and eliminates redundancy in transmitted data through selective representation without compromising on accuracy of reconstruction of the monitored phenomenon at a remote monitor node. In addition, the solution also exploits the same correlations for adaptive sleep scheduling aimed at saving energy in Wireless Sensor Networks (WSNs) while also providing a mechanism for ensuring connectivity to the monitor node. The data-centric joint adaptive-sampling and sleep-scheduling solution, SILENCE, has been evaluated through real experiments on a testbed monitoring temperature and humidity distribution in a rack of servers as well as through extensive simulations on TOSSIM, the TinyOS simulator.