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
RAP: A Real-Time Communication Architecture for Large-Scale Wireless Sensor Networks
RTAS '02 Proceedings of the Eighth IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'02)
PEAS: A Robust Energy Conserving Protocol for Long-lived Sensor Networks
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Differentiated surveillance for 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
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
The design space of wireless sensor networks
IEEE Wireless Communications
Performance study of node placement for congestion control in wireless sensor networks
NTMS'09 Proceedings of the 3rd international conference on New technologies, mobility and security
Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
Energy hole prevention in wireless sensor networks
Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
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In this paper, we describe a scalable and distributed framework for minimizing congestion and assuring reliable data transmissions in event based networks. Event based networks are a particular category of sensor networks on which reports are produced only upon the observation of a specific event. This event should satisfy a pre-specified condition. Whenever this condition is satisfied, a sudden traffic increase occurs which may lead the network into congestion. This is particularly undesirable because the data generated during this situation are of great importance, often critical, to the applications. We propose a novel algorithm which is able to control a congestion situation and which is efficient enough to safely transmit almost all the data, generated by the sensors due to an event, back to the sinks. The algorithm does that without throttling the source nodes' data rate. Throttling the data rate could prove fatal for critical networks, due to the fact that each data packet provides the network with updated information concerning the monitored event.