A transmission control scheme for media access in sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
PSFQ: a reliable transport protocol for wireless sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
ESRT: event-to-sink reliable transport in wireless sensor networks
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
Understanding packet delivery performance in dense wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Taming the underlying challenges of reliable multihop routing in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
TOSSIM: accurate and scalable simulation of entire TinyOS applications
Proceedings of the 1st international conference on Embedded networked sensor systems
An adaptive energy-efficient MAC protocol for wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
CODA: congestion detection and avoidance in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
A scalable approach for reliable downstream data delivery in wireless sensor networks
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Mitigating congestion in wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Congestion control and fairness for many-to-one routing in sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Reliable bursty convergecast in wireless sensor networks
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Z-MAC: a hybrid MAC for wireless sensor networks
Proceedings of the 3rd international conference on Embedded networked sensor systems
Siphon: overload traffic management using multi-radio virtual sinks in sensor networks
Proceedings of the 3rd international conference on Embedded networked sensor systems
Priority-based Congestion Control in Wireless Sensor Networks
SUTC '06 Proceedings of the IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing -Vol 1 (SUTC'06) - Volume 01
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Disaster relief is an important application of sensor networks, in which bursting data needs to be collected in a short period to the sink through a multi-hop wireless network. In general, packets containing the reported data have few correlations among each other, such that meaningful information can be inferred from partially received packets. For better understanding of monitored events, it is more important to capture the total number of unique reports rather than to reliably deliver each individual packet. Therefore, in the case of monitoring disaster filed with bursting data, communication channel throughput has higher priority than the channel reliability. Under this circumstance, we revisit the sensor network transport protocols, which use hop-by-hop recovery to provide reliable data transmission over unreliable links. We found that the complex recovery mechanism, while assuring high reliable individual packet delivery, reduces channel throughput when measured data is reported at high rate. To provide optimal data transport in a sensor network with bursting data generation, we propose a light weight sink centric transport protocol, which maximizes the channel throughput by minimizing the interference of packet recovery process. We implement the sink centric transport protocol in TinyOS and evaluate its performance in the TOSSIM simulator. The comparison shows that our proposed approach outperforms the hop-by-hop recovery approach in terms of event reporting throughput and transmission costs.