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:
影响因子:
--
通讯作者:
Ma, Jian
中科院分区:
文献类型:
--
作者:
Jiao, Weiwei;Chen, Canfeng;Chen, Min;Cheng, Long;Ma, Jian
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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DOI:
10.1145/1815396.1815681
发表时间:
2010-06
期刊:
--
影响因子:
--
作者:
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DOI:
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2008
期刊:
IEEE/ACM Transactions on Networking
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作者:
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DOI:
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发表时间:
2007-07
期刊:
IEEE International Conference on Pervasive Services
影响因子:
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作者:
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DOI:
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发表时间:
2007-12
期刊:
Pervasive Mob. Comput.
影响因子:
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