大规模射频网状网络中关键设备位置分配的递归优化预分区策略

IF 0.6 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Ad Hoc & Sensor Wireless Networks Pub Date : 2020-11-16 DOI:10.1145/3416011.3424756
A. M. Mezher, J. Cardenas-Barrera, Carlos Lester Dueñas Santos, J. Meng, Eduardo Castillo Guerra
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引用次数: 2

摘要

RF-Mesh网络已被广泛用于智能电网通信的部署,预计其大规模实施将继续增长。随着RF-Mesh网络的发展,延迟成为一个问题,并插入互连设备以增加覆盖范围、性能和弹性。互连器件和集电极的最佳位置是一个np困难问题,其解近似于启发式和计算昂贵的解。提出了一种用于大规模无线网状网络中关键设备定位的递归划分方法,大大降低了现有定位算法的计算量。性能改进的理论分析以及使用公开可用数据集的大量模拟结果表明,所提出的方法可以在不影响重要QoS参数的情况下将原始算法的执行时间提高20倍。
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ROPS: Recursively Optimized Prepartitioning Strategy to allocate Key Devices Positions in Large-Scale RF Mesh Networks
RF-Mesh networks have been extensively used for the deployment of smart grid communications and large-scale implementations of them are expected to continue growing. As a RF-Mesh network grows, latency becomes a concern and interconnection devices are inserted to increase coverage, performance and resiliency. The optimal position of the interconnection devices and collectors represents a NP-hard problem whose solution is approximated by heuristic and computationally expensive solutions. This paper presents a recursive partitioning approach to positioning key devices in large-scale wireless mesh networks that significantly reduces the computational demand of an existing positioning algorithm. Theoretical analysis of performance improvement, along with results of extensive simulations using a publicly available dataset, demonstrate that the proposed approach can improve the execution time of the original algorithm up to 20 times without affecting important QoS parameters.
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来源期刊
Ad Hoc & Sensor Wireless Networks
Ad Hoc & Sensor Wireless Networks 工程技术-电信学
CiteScore
2.00
自引率
44.40%
发文量
0
审稿时长
8 months
期刊介绍: Ad Hoc & Sensor Wireless Networks seeks to provide an opportunity for researchers from computer science, engineering and mathematical backgrounds to disseminate and exchange knowledge in the rapidly emerging field of ad hoc and sensor wireless networks. It will comprehensively cover physical, data-link, network and transport layers, as well as application, security, simulation and power management issues in sensor, local area, satellite, vehicular, personal, and mobile ad hoc networks.
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