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Stream: Low Overhead Wireless Reprogramming for Sensor Networks

机译:流:用于传感器网络的低开销无线重新编程

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Wireless reprogramming of a sensor network is useful for uploading new code or for changing the functionality of existing code. Through the process, a node should remain receptive to future code updates because reprogramming may be done multiple times during the node's lifetime. Existing reprogramming protocols, such as Deluge, achieve this by bundling the reprogramming protocol and the application as one program image, thereby increasing the overall size of the image which is transferred through the network. This increases both time and energy required for network reprogramming. We present a protocol called Stream that mitigates the problem by significantly reducing the size of the program image. Using the facility of having multiple code images on a node and switching between them, Stream pre-installs the reprogramming protocol as one image and the application program equipped with the ability to listen to new code updates as the second image. For a sample application, Stream reduces the size of the program image by 10 pages (48 packets/page) compared to Deluge. Stream is implemented on the Mica2 nodes and we conduct testbed and simulation experiments to show the reduction in energy and reprogramming time of Stream compared to Deluge.
机译:传感器网络的无线重新编程可用于上传新代码或更改现有代码的功能。通过该过程,节点应保持对未来的代码更新,因为在节点的寿命期间可以多次进行重新编程。现有的重新编程协议(例如Deluge)通过将重新编程协议和应用程序捆绑为一个程序图像来实现这一目标,从而增加通过网络传输的图像的整体大小。这增加了网络重新编程所需的时间和精力。我们提出了一种称为流的协议,通过显着降低程序图像的大小来减轻问题。使用在节点上具有多个代码图像的设施并在它们之间切换,流预先安装重新编程协议作为一个图像,并且应用程序配备有能力收听新代码更新作为第二图像。对于示例应用程序,与Deluge相比,流将程序图像的大小减少了10页(48分组/页面)。流在MICA2节点上实现,我们进行测试用和仿真实验,以显示与洪水相比,流的能量和重新编程时间。

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