IDEA: integrated distributed energy awareness for wireless sensor networks
Proceedings of the 8th international conference on Mobile systems, applications, and services
Exploring link correlation for efficient flooding in wireless sensor networks
NSDI'10 Proceedings of the 7th USENIX conference on Networked systems design and implementation
Bartendr: a practical approach to energy-aware cellular data scheduling
Proceedings of the sixteenth annual international conference on Mobile computing and networking
The κ factor: inferring protocol performance using inter-link reception correlation
Proceedings of the sixteenth annual international conference on Mobile computing and networking
Exploiting FM radio data system for adaptive clock calibration in sensor networks
MobiSys '11 Proceedings of the 9th international conference on Mobile systems, applications, and services
Tracking vehicular speed variations by warping mobile phone signal strengths
PERCOM '11 Proceedings of the 2011 IEEE International Conference on Pervasive Computing and Communications
Place lab: device positioning using radio beacons in the wild
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Radio link quality estimation in wireless sensor networks: A survey
ACM Transactions on Sensor Networks (TOSN)
Capacity of fading channels with channel side information
IEEE Transactions on Information Theory
Communication over fading channels with delay constraints
IEEE Transactions on Information Theory
IEEE Journal on Selected Areas in Communications
Time synchronization in sensor networks: a survey
IEEE Network: The Magazine of Global Internetworking
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In wireless mobile networks, energy can be saved by using dynamic transmission scheduling with pre-knowledge about channel conditions. Such pre-knowledge can be obtained via profiling as proposed by several existing systems which assumed that the existence of spatial link correlation makes the measured channel status at one location reusable over a long period of time. Our empirical data, however, tells a different story: spatial link correlation only maintains well within a short duration (from seconds to tens of seconds) while decreases significantly afterwards, a phenomena we call ephemeral link correlation. By leveraging this observation, we design and implement a real-time transmission scheduling system, named PreSeer, on the railway platform for cargo transportation, where the transmission of a sink (to cellular towers) can be scheduled intelligently by utilizing future channel status measured by sinks located in front of it on the same train. We have implemented and evaluated the PreSeer system on the collected data extensively over 7,000-kilometer railway routes during a period of one and half years. Results reveal that PreSeer can help save as much as 40% energy, comparing with three base-line algorithms. More importantly, lessons learned from this major effort provide useful guidelines for transmission scheduling in highly-dynamic mobile environments, where (i) channel measurements cannot be perfectly aligned due to varying vehicle velocities, and (ii) the accuracy of channel measurements is subject to hardware discrepancy as well as environment irregularity.