Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Coping with irregular spatio-temporal sampling in sensor networks
ACM SIGCOMM Computer Communication Review
The flooding time synchronization protocol
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Proceedings of the 3rd international conference on Embedded networked sensor systems
Telos: enabling ultra-low power wireless research
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Fidelity and yield in a volcano monitoring sensor network
OSDI '06 Proceedings of the 7th USENIX Symposium on Operating Systems Design and Implementation - Volume 7
LUSTER: wireless sensor network for environmental research
Proceedings of the 5th international conference on Embedded networked sensor systems
Koala: Ultra-Low Power Data Retrieval in Wireless Sensor Networks
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
The hitchhiker's guide to successful wireless sensor network deployments
Proceedings of the 6th ACM conference on Embedded network sensor systems
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Suelo: human-assisted sensing for exploratory soil monitoring studies
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
On computing compression trees for data collection in wireless sensor networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
Murphy loves potatoes: experiences from a pilot sensor network deployment in precision agriculture
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Phoenix: an epidemic approach to time reconstruction
EWSN'10 Proceedings of the 7th European conference on Wireless Sensor Networks
| Hi-index | 0.00 |
Environmental scientists frequently engage in "campaignstyle" deployments, where they visit a location for a relatively short period of time (several weeks to months) and intensively collect measurements with a combination of manual and automatic methods. We present K2, a mote-based system which brings high-quality automated monitoring to deployments of this nature. We identify key application requirements, describe the design and evolution of K2, and present performance results from two field deployments (the largest lasting ∼ 5 weeks and including 50 sensing nodes). Our results indicate that K2 is a viable scientific tool, achieving data yield 99% and producing accurately time-stamped data, even in the absence of a persistently available reliable clock source. These results point a path towards WSN deployments managed by non-CS specialists.