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RCRT: Rate-Controlled Reliable Transport Protocol for Wireless Sensor Networks

机译:RCRT:用于无线传感器网络的速率控制的可靠传输协议

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摘要

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 transports sensor data from many sources to one or more sinks without incurring congestion collapse. In this article, 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 1.7 times the rate achieved by IFRC and 1.4 times that of WRCP, two recently proposed interference-aware distributed rate-control protocols. We also present results from a 3-month-long 19-node real world deployment of RCRT in an imaging application and show that RCRT works well in real long-term deployments.
机译:新兴的高速应用(成像,结构监控,声学定位)将需要同时从多个传感器传输大量数据。这些应用程序也不会造成损失。因此,此类应用的关键要求是一种协议,该协议能够可靠地将传感器数据从许多来源传输到一个或多个接收器,而不会导致拥塞崩溃。在本文中,我们讨论了RCRT,这是一种适用于受约束的传感器节点的速率受控的可靠传输协议。 RCRT使用端到端的显式损耗恢复,但将所有拥塞检测和速率自适应功能置于接收器中。这有两个重要的优点:效率和灵活性。由于接收器可以制定速率分配决策,因此它们可以实现更高的效率,因为它们可以更全面地了解网络行为。出于相同的原因,可以更改速率分配决策(例如,从确保所有节点获得相同速率的决策到更改为确保节点获得与其需求成比例的速率的决策),而无需在以下位置修改传感器代码所有。我们在40个节点的无线传感器网络测试平台上对RCRT进行了广泛评估,结果表明RCRT达到了IFRC的1.7倍和WRCP的1.4倍(WRCP),这是最近提出的两种可感知干扰的分布式速率控制协议。我们还介绍了在成像应用程序中进行为期3个月的RCRT的3个月实际部署的结果,并显示RCRT在实际的长期部署中效果很好。

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  • 来源
    《ACM transactions on sensor networks》 |2011年第3期|p.1-45|共45页
  • 作者单位

    University of Southern California, Computer Science Department, Embedded Networks Laboratory, Ronald Tutor Hall (RTH) 418, 3710 S. McClintock Avenue, Los Angeles, CA 90089;

    University of Southern California, Computer Science Department, Embedded Networks Laboratory, Ronald Tutor Hall (RTH) 418, 3710 S. McClintock Avenue, Los Angeles, CA 90089;

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