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Efficient data aggregation middleware for wireless sensor networks

机译：用于无线传感器网络的高效数据聚合中间件

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摘要

This paper describes a data aggregation and consensus algorithm for object location and tracking applications deployed on wireless sensor networks. This consensus algorithm permits ad-hoc, in-network, group formation in response to a detected event. By reaching a consensus in the network, only a single message indicating the detected event needs to be forwarded to the tracking application at a base station, leading to significant savings in communication costs and prolonging of the life of the network. Our ad-hoc approach offers superior detecting power to other approaches, which statically partition the network into detection regions. The use of a quorum mechanism to achieve consensus leads to higher availability under failure conditions. Moreover, the algorithm exploits the broadcast communication and synchrony properties of wireless sensor networks. Our experimental results show that the algorithm exhibits low overhead despite faults and converges quickly to a single consensus even if multiple nodes initiate the consensus protocol.
机译：本文介绍了一种用于无线传感器网络上部署的对象定位和跟踪应用程序的数据聚合和共识算法。该共识算法允许响应于检测到的事件进行临时的网络内组形成。通过在网络中达成共识，仅需要将指示检测到的事件的单个消息转发到基站的跟踪应用程序，从而可以显着节省通信成本并延长网络寿命。我们的临时方法提供了比其他方法优越的检测能力，而其他方法则将网络静态划分为检测区域。使用仲裁机制来达成共识会导致故障条件下更高的可用性。而且，该算法利用了无线传感器网络的广播通信和同步特性。我们的实验结果表明，即使有多个节点启动共识协议，该算法在出现故障的情况下仍具有较低的开销，并且可以快速收敛到单个共识。

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