通过机会路由进行负载均衡数据采集

M. Michel, S. Duquennoy, B. Quoitin, T. Voigt
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引用次数: 23

摘要

进行低功耗数据采集的无线传感器网络常常存在节点间负载分布不均匀的问题。靠近网络根的节点通常面临更高的负载,首先看到它们的电池耗尽,并且过早地无法操作(感知和转发其他节点的数据)。我们认为机会路由,通过在每个数据包的基础上,在接收方而不是发送方做出转发决策,有可能更好地平衡节点之间的负载。我们扩展ORPL,一个标准路由协议RPL的机会版本,支持负载平衡。在我们的协议ORPL-LB中,节点不断调整其唤醒间隔,以调整其可用性并达到特定于部署的目标占空比。我们在contikii上实现了我们的协议,并在Indriya(一个93个节点的平台)上进行了实验验证。我们的结果表明,ORPL-LB显著降低了最坏节点的占空比(大约40%),对数据包传递率和延迟几乎没有影响。
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Load-Balanced Data Collection through Opportunistic Routing
Wireless Sensor Networks performing low-power data collection often suffer from uneven load distribution among nodes. Nodes close to the network root typically face a higher load, see their battery deplete first, and become prematurely unable to operate (both sensing and relaying other nodes' data). We argue that opportunistic routing, by making forwarding decision on a per-packet basis and at the receiver rather than the sender, has the potential to better balance the load across nodes. We extend ORPL, an opportunistic version of the standard routing protocol RPL, with support for load-balancing. In our protocol, ORPL-LB, nodes continuously adapt their wake-up interval in order to adjust their availability and attain a deployment-specific target duty cycle. We implement our protocol in Contikiand present our experimental validation in Indriya, a 93-nodestestbed. Our results show that ORPL-LB reduces significantly(by approximately 40%) the worst node's duty cycle, with little or no impact on packet delivery ratio and latency.
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