Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
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)
An Energy-Aware QoS Routing Protocol for Wireless Sensor Networks
ICDCSW '03 Proceedings of the 23rd International Conference on Distributed Computing 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
A Spatiotemporal Communication Protocol for Wireless Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
IEEE Transactions on Mobile Computing
Real-Time Traffic Management in Sensor Networks
RTSS '06 Proceedings of the 27th IEEE International Real-Time Systems Symposium
Delay aware reliable transport in wireless sensor networks: Research Articles
International Journal of Communication Systems
Upstream congestion control in wireless sensor networks through cross-layer optimization
IEEE Journal on Selected Areas in Communications
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Wireless Sensor Network typically assimilates various real time applications that must meet some QoS requirements (e.g. delay, jitter, throughput, packet loss) under severe resource limitations. Hence, quality-of-service (QoS) management in Wireless Sensor Network is an important issue yet to be investigated. Due to the high data rate and burst traffic for real time applications, occurrence of congestion is very common. Ensuring the QoS requirements under congested scenario is quite challenging. As an attempt to this direction, in this paper we propose a hop-by-hop dynamic rate control algorithm which controls the congestion as well as ensures that the real time traffic will meet the soft QoS requirements. We have introduced per-hop deadline miss ratio as the congestion indication metric and performed the rate control when this ratio goes above to a certain level. Thus by per-hop rate adjustment, soft QoS is being met locally which in turns meets the end-to-end soft QoS. Finally, simulation has demonstrated the effectiveness of our approach.