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ABSTRACT
Emerging high-rate applications (imaging, structural monitoring, acoustic localization) will need to transport large volumes of data concurrently from several sensors. These applications are also loss-intolerant. A key requirement for such applications, then, is a protocol that reliably transport sensor data from many sources to one or more sinks without incurring congestion collapse. In this paper, we discuss RCRT, a rate-controlled reliable transport protocol suitable for constrained sensor nodes. RCRT uses end-to-end explicit loss recovery, but places all the congestion detection and rate adaptation functionality in the sinks. This has two important advantages: efficiency and flexibility. Because sinks make rate allocation decisions, they are able to achieve greater efficiency since they have a more comprehensive view of network behavior. For the same reason, it is possible to alter the rate allocation decisions (for example, from one that ensures that all nodes get the same rate, to one that ensures that nodes get rates in proportion to their demands), without modifying sensor code at all. We evaluate RCRT extensively on a 40-node wireless sensor network testbed and show that RCRT achieves more than twice the rate achieved by a recently proposed interference-aware distributed rate-control protocol, IFRC [23].
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CITED BY 6
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Philip Levis , Eric Brewer , David Culler , David Gay , Samuel Madden , Neil Patel , Joe Polastre , Scott Shenker , Robert Szewczyk , Alec Woo, The emergence of a networking primitive in wireless sensor networks, Communications of the ACM, v.51 n.7, July 2008
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Sumit Rangwala , Apoorva Jindal , Ki-Young Jang , Konstantinos Psounis , Ramesh Govindan, Understanding congestion control in multi-hop wireless mesh networks, Proceedings of the 14th ACM international conference on Mobile computing and networking, September 14-19, 2008, San Francisco, California, USA
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