A transmission control scheme for media access in sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
ESRT: event-to-sink reliable transport in wireless sensor networks
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Funneling-MAC: a localized, sink-oriented MAC for boosting fidelity in sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
Modeling spatially correlated data in sensor networks
ACM Transactions on Sensor Networks (TOSN)
Exploiting the capture effect for collision detection and recovery
EmNets '05 Proceedings of the 2nd IEEE workshop on Embedded Networked Sensors
Koala: Ultra-Low Power Data Retrieval in Wireless Sensor Networks
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Proceedings of the 6th ACM conference on Embedded network sensor systems
Sift: a MAC protocol for event-driven wireless sensor networks
EWSN'06 Proceedings of the Third European conference on Wireless Sensor Networks
Cooja TimeLine: a power visualizer for sensor network simulation
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Strawman: resolving collisions in bursty low-power wireless networks
Proceedings of the 11th international conference on Information Processing in Sensor Networks
Low power counting via collaborative wireless communications
Proceedings of the 12th international conference on Information processing in sensor networks
| Hi-index | 0.00 |
To ensure a long lifetime, sensor networks must operate with a low duty cycle, but the duty cycle must be high enough for the network to handle expected peak traffic loads. Being dimensioned for peak traffic rather than regular traffic leads to shorter lifetimes than necessary. We present StrawMAN, a simple mechanism that enables low duty cycle networks to gracefully handle sudden traffic surges. We show that StrawMAN provides a significantly lower power consumption compared to an existing backoff-based mechanism, while being able to scale up to situations with full link-level saturation. As sensor networks get more diverse in both applications and traffic loads, we see StrawMAN as an important addition to the existing set of low-level sensor network mechanisms.