Wait, focus and spray: efficient data delivery in wireless sensor networks with ubiquitous mobile data collectors

Wait, focus and spray: efficient data delivery in wireless sensor networks with ubiquitous mobile data collectors
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等待、聚焦和喷射:通过无处不在的移动数据收集器在无线传感器网络中高效传输数据

DOI:
10.1007/s11235-011-9569-2
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发表时间:
2013-04
期刊:
Springer Telecommunication Systems
影响因子:
--
通讯作者:
Ma, Jian
Ma, Jian
中科院分区:
其他
文献类型:
--
作者:
Jiao, Weiwei;Chen, Canfeng;Chen, Min;Cheng, Long;Ma, Jian

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随着传感器设备的成本和尺寸的降低,我们可以预见一个无处不在的传感器网络的世界。通常,传感器数据需要从源传播到数据收集器,使得空间分布的传感器数据可用于应用。移动的设备的广泛和无处不在的性质,例如,PDA和手机在世界各地,使他们有吸引力,被用来作为移动数据收集器(MDC)收集和交付的传感器数据。这项工作的目标是设计一个传播协议,导致有效的数据传输从源传感器无处不在的MDC。针对具有泛在MDC的无线传感器网络,提出了WFS数据传输方案. WFS的主要目标是在考虑无处不在的MDC的存在时平衡数据交付延迟和传输开销。在WFS中,我们还提出了一个相应的机制-概率分散二进制喷射(PSBS),以减少喷射数据副本时的空间冗余,这可以增加满足MDC的概率。然后,我们提出了一个分析模型的基础上的马尔可夫链模型来分析WFS的交付延迟和传输成本之间的权衡。通过大量的仿真,我们证明了我们提出的方案降低了每消息的传输成本,同时提供了可比的交付延迟相比,替代方法。
With decrease in the cost and the size of sensor devices, we can envision a world of ubiquitous sensor networks. Usually, sensor data needs to be disseminated from the source to data collectors, making the spatially distributed sensor data available for applications. The widespread and ubiquitous nature of mobile devices, e.g., PDAs and cell phones around the world, makes them attractive to be used asmobile data collectors(MDCs) to collect and deliver the sensor data. The goal of this work is to design a dissemination protocol that leads to efficient data delivery from the source sensors to ubiquitous MDCs. We propose theWait-Focus-Spray(WFS) data delivery scheme for wireless sensor networks with ubiquitous MDCs. The main objective of WFS is to balance the data delivery latency and transmission overhead when considering the existence of ubiquitous MDCs. In WFS, we also propose a corresponding mechanism-probabilistic scattered binary spraying(PSBS), to reduce the spatial redundancy when spraying data copies, which can increase the probability of meeting a MDC. We then present an analytical model based on the Markov chain model to analyze the trade-off between delivery latency and transmission cost in WFS. Through extensive simulations, we demonstrate that our proposed scheme reduces the transmission cost per message while provides comparable delivery delay compared with the alternative approach.
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