Decentralized data dissemination and harvesting for urban monitoring

Milica Milojevic, J. Barria
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引用次数: 2

Abstract

This paper presents a Decentralized data Dissemination and Harvesting (DDH) mechanism for urban pollution monitoring using mobile sensor nodes with limited resources. The proposed DDH mechanism enables participating nodes to self-decide whether to process the received data or not, thus, reducing the on-board processing load. Based on the harvested data, the nodes calculate their level of interest in monitoring the particular street segments. In this way a reduction in the number of actively participating nodes is accomplished. In addition, the mobile nodes process raw sensor readings using the Delayed State Information Filter (DSIF) to maintain the past pollution states and perform a decentralized data fusion. The proposed DDH mechanism is assessed using simulations with varying number of the participating nodes. The results show that the proposed mechanism outperforms existing solutions in terms of the utilisation of nodes resources, without affecting the amount of volume of gathered data for the monitored street segments.
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分散的数据传播和收集,用于城市监测
本文提出了一种利用有限资源的移动传感器节点进行城市污染监测的分散数据传播和收集(DDH)机制。提出的DDH机制使参与节点能够自行决定是否处理接收到的数据,从而减少板载处理负载。根据收集到的数据,节点计算它们对监控特定街道段的兴趣程度。通过这种方式,减少了积极参与节点的数量。此外,移动节点使用延迟状态信息过滤器(DSIF)处理原始传感器读数,以维持过去的污染状态并执行分散的数据融合。采用不同参与节点数量的模拟对所提出的DDH机制进行了评估。结果表明,在节点资源利用率方面,所提出的机制优于现有的解决方案,而不会影响所监测街道段的收集数据量。
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