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The optimal 5G base station location of the wireless sensor network considering timely reliability

机译:考虑及时可靠性的无线传感器网络的最佳5G基站位置

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摘要

To ensure the timely reliability of the data packets transmitted in the intelligent Internet of Things, many 5 G base stations must be established as relay nodes. Thus, how to meet the transmission requirements with the minimum building cost has become an urgent problem. The existing studies abstract this problem into a network design problem with relays (NDPR). However, these studies only focus on whether all target areas can be covered, and ignore timely reliability. Secondly, they use the number of hops to measure the transmission delay and ignore the actual transmission process. Therefore, to solve the above problems, we study the 5 G base station optimization location model considering timely reliability. Firstly, combining the definition of network reliability and the law of large numbers, we establish the timely reliability model, and transform it into a mixed integer linear programming (MILP) model. Secondly, considering the transmission process, we propose a novel NDPR model to optimize the base station location and propose a partial optimization algorithm to solve the large-scale case. Besides, taking the smart grid as an example, the validity of the proposed method is verified. Finally, the sensitivity analysis is carried out to provide corresponding suggestions for reducing the building cost.
机译:为了保证智能物联网中传输的数据包的及时可靠性,必须建立许多5G基站作为中继节点。因此,如何以最小的建筑成本满足输电要求成为亟待解决的问题。现有的研究将这个问题抽象为中继网络设计问题(NDPR)。然而,这些研究只关注是否能够覆盖所有目标区域,而忽略了及时的可靠性。其次,他们使用跳数来衡量传输延迟,而忽略了实际的传输过程。因此,为了解决上述问题,我们研究了考虑及时可靠性的5G基站优化选址模型。首先,结合网络可靠性的定义和大数定律,建立及时可靠性模型,并将其转化为混合整数线性规划(MILP)模型;其次,考虑传输过程,提出一种新的NDPR模型来优化基站位置,并提出一种部分优化算法来解决大规模情况。此外,以智能电网为例,验证了所提方法的有效性。最后,进行敏感性分析,为降低建筑造价提供相应的建议。

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