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首页> 外文期刊>IEEE transactions on mobile computing >Sprinkler: A Reliable and Energy Efficient Data Dissemination Service for Extreme Scale Wireless Networks of Embedded Devices
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Sprinkler: A Reliable and Energy Efficient Data Dissemination Service for Extreme Scale Wireless Networks of Embedded Devices

机译：Sprinkler：面向嵌入式设备的超大规模无线网络的可靠且节能的数据分发服务

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摘要

We present Sprinkler, a reliable data dissemination service for wireless embedded devices which are constrained in energy, processing speed, and memory. Sprinkler embeds a virtual grid over the network whereby it can locally compute a connected dominating set of the devices to avoid redundant transmissions and a transmission schedule to avoid collisions. Sprinkler transmits {rm O}(1) times the optimum number of packets in {rm O}(1) of the optimum latency; its time complexity is {rm O}(1). Sprinkler is tolerant to fail-stop and state corruption faults. Thus, Sprinkler is suitable for resource-constrained wireless embedded devices. We evaluate the performance of Sprinkler in terms of the number of packet transmissions and the latency, both in an outdoor and indoor environment. The outdoor evaluation is based on data from project ExScal, which deployed 203 extreme scale stargates (XSS). Our indoor evaluation is based on an implementation in the Kansei testbed, which houses 210 XSSs whose transmission power is controllable to even low ranges. We compare Sprinkler with the existing reliable data dissemination services, analytically or using simulations also. Our evaluations show that Sprinkler is not only energy efficient as compared to existing schemes, but also has less latency. Further, the energy consumption of nodes and the latency grows linearly as a function of newly added nodes as the network grows larger.
机译：我们提供Sprinkler，这是一种针对能耗，处理速度和内存受限制的无线嵌入式设备的可靠数据分发服务。 Sprinkler在网络上嵌入虚拟网格，从而可以在本地计算设备的连接主导集，以避免冗余传输，并避免传输调度，避免冲突。 Sprinkler发送{rm O}（1）乘以最佳等待时间的{rm O}（1）中的最佳分组数；它的时间复杂度为{rm O}（1）。 Sprinkler可以容忍故障停止和状态破坏错误。因此，Sprinkler适用于资源受限的无线嵌入式设备。我们在室外和室内环境中根据数据包传输的数量和延迟来评估Sprinkler的性能。户外评估基于ExScal项目的数据，该项目部署了203个极端规模的星门（XSS）。我们的室内评估基于Kansei测试平台上的实现，该测试平台容纳了210个XSS，其传输功率甚至可以控制在很小的范围内。我们将Sprinkler与现有可靠的数据分发服务进行比较，无论是分析还是使用模拟。我们的评估表明，与现有方案相比，Sprinkler不仅节能，而且延迟更短。此外，随着网络的扩大，节点的能耗和等待时间会随着新添加的节点而线性增长。

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