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
CODA: congestion detection and avoidance in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Dynamic power allocation and routing for satellite and wireless networks with time varying channels
Dynamic power allocation and routing for satellite and wireless networks with time varying channels
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
Maximizing Queueing Network Utility Subject to Stability: Greedy Primal-Dual Algorithm
Queueing Systems: Theory and Applications
Non-convex optimization and rate control for multi-class services in the Internet
IEEE/ACM Transactions on Networking (TON)
Interference-aware fair rate control in wireless sensor networks
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Application-oriented flow control: fundamentals, algorithms and fairness
IEEE/ACM Transactions on Networking (TON)
RCRT: rate-controlled reliable transport for wireless sensor networks
Proceedings of the 5th international conference on Embedded networked sensor systems
Distributed rate allocation for inelastic flows
IEEE/ACM Transactions on Networking (TON)
Fairness and optimal stochastic control for heterogeneous networks
IEEE/ACM Transactions on Networking (TON)
Understanding congestion control in multi-hop wireless mesh networks
Proceedings of the 14th ACM international conference on Mobile computing and networking
Explicit and precise rate control for wireless sensor networks
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Routing without routes: the backpressure collection protocol
Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
Energy optimal control for time-varying wireless networks
IEEE Transactions on Information Theory
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The capabilities of sensor networking devices are increasing at a rapid pace. It is therefore not impractical to assume that future sensing operations will involve real time (inelastic) traffic, such as audio and video surveillance, which have strict bandwidth constraints. This in turn implies that future sensor networks will have to cater for a mix of elastic (having no bandwidth constraint requirements) and inelastic traffic. Current state of the art rate control protocols for wireless sensor networks are however designed with focus on elastic traffic. In this work, by adapting a recently developed theory of utility-proportional rate control for wired networks to a wireless setting, and combining it with a stochastic optimization framework that results in an elegant queue backpressure-based algorithm, we have designed the first-ever rate control protocol that can efficiently handle a mix of elastic and inelastic traffic in a wireless sensor network. We implement this novel protocol in a real world sensor network stack, the TinyOS-2.x communication stack for IEEE 802.15.4 radios and evaluate the real-world performance of this protocol through comprehensive experiments on 20 and 40-node subnetworks of USC's 94-node Thtornet wireless sensor network testbed.