闵可夫斯基距离序对大规模射频Mesh网络中关键器件位置优化的影响

IF 0.6 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
A. M. Mezher, Pedro Enrique Iturria Rivera, Carlos Lester Dueñas Santos, J. Cardenas-Barrera, J. Meng, Eduardo Castillo Guerra
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引用次数: 0

摘要

近年来,智能电网通信受到了研究界的广泛关注。就服务质量参数而言,RF Mesh网络的优异性能不仅取决于具有有效的路由协议来路由数据包,还取决于位于同一网络中的路由器和收集器的位置。这使得射频Mesh网络中的路由器和收集器的定位成为一项具有挑战性的任务。此外,我们最近还提出了一种有效的路由器和收集器位置联合优化策略。然而,在这项工作中,我们研究了在RF Mesh环境中使用不同闵可夫斯基距离顺序对所提出策略的影响。在omnet++中对不同闵可夫斯基距离阶的策略进行了大量的仿真。结果表明,在平均分组发送率百分比和平均端到端延迟方面,欧几里得距离是获得最佳结果的最佳闵可夫斯基距离顺序选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Minkowski Distance Order Effect on the Optimization of Key Devices Positions in Large-Scale RF Mesh Networks
Recently, smart grid communications have attracted much attention from the research community. An excellent performance of a RF Mesh network in terms of quality of service parameters depends not only on having an efficient routing protocol to route packets but also on the positions of routers and collectors located in the same network. This makes the positioning of routers and collectors in RF Mesh networks a challenging task. Moreover, an efficient strategy to optimize jointly routers and collectors positions have been proposed recently by us. However, in this work, we have studied the impact of using different Minkowski distance order on the proposed strategy in a RF Mesh context. Extensive simulations in OMNET++ have been carried out with the proposed strategy for different Minkowski distance order. Results indicate that the Euclidean distance is the best Minkowski distance order choice to obtain the best results in terms of average percentage of packet delivery rate and average end-to-end delay.
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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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