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A Novel and Efficient Algorithm for Deploying Mobile Sensors in Subsurface

机译:在地下部署移动传感器的新型高效算法

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The demand for oil is growing steadily from emerging and developing economies while oil field discoveries continue to decline. Therefore the gap between demand and supply will increase with time. Subsurface Exploration deals with extracting valuable hydrocarbons from oil wells. Due to its hazardous nature, it’s one of the most difficult fields to carry experimentations on. Uncertainties associated with this field are result of various factors such as lack of information regarding location, size and spread of natural resource. In order to handle above listed factors, mobile wireless sensors seems to be a promising paradigm for increasing productivity and throughput by serving as intelligent investigators. At the time of this listing, none of the researchers have proposed the deployment of mobile wireless sensors in the oil fields. Therefore, this work contributes a unique strategy that could deploy mobile sensors in the subsurface so as to get real time information which otherwise is not possible. Moreover, the proposed algorithm provides efficient coverage and connectivity metric. Also, a mathematical model has been presented along with its comparison with other existing node placement strategies in other related fields and it is found that our algorithm provides better coverage and connectivity.
机译:新兴经济体和发展中经济体对石油的需求正在稳定增长,而油田的发现却继续下降。因此,供需之间的差距将随着时间而增加。地下勘探致力于从油井中提取有价值的碳氢化合物。由于其危险性,它是进行实验最困难的领域之一。与该领域相关的不确定性是各种因素导致的,例如缺乏有关自然资源的位置,大小和传播的信息。为了处理上述因素,移动无线传感器似乎是通过充当智能调查员来提高生产率和吞吐量的一种有前途的范例。在此清单发布之时,没有研究人员提出在油田中部署移动无线传感器的提议。因此,这项工作为独特的策略做出了贡献,该策略可以在地下部署移动传感器,从而获得实时信息,否则这是不可能的。此外,所提出的算法提供了有效的覆盖范围和连通性度量。此外,提出了一个数学模型,并将其与其他相关领域中的其他现有节点放置策略进行了比较,发现我们的算法提供了更好的覆盖范围和连通性。

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