Efficient strategy to optimize key devices positions in large-scale RF mesh networks

被引:3
作者
Mezher, Ahmad Mohamad [1 ]
Rivera, Pedro Enrique Iturria [1 ]
Cardenas-Barrera, Julian [1 ]
Meng, Julian [1 ]
Guerra, Eduardo Castillo [1 ]
机构
[1] Univ New Brunswick, Dept Elect & Comp Engn, Fredericton, NB, Canada
关键词
Advanced metering infrastructure (AMI); Smart grid communications; Prepartitioning strategy; Wireless mesh networks;
D O I
10.1016/j.adhoc.2020.102192
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
RF Mesh technology is currently one of the most used in North America for smart grid communications where reputable companies such as Itron and Landys&Gyr are setting up their smart meters with RF Mesh radios. The overall performance of radio frequency (RF) Mesh network communications depends in high measure on the positions of key devices in RF Mesh network such as routers and collectors. With this in mind, we have designed a strategy to optimize jointly the positions of the key devices of RF Mesh network such as routers and collectors to achieve the highest possible connectivity between different components of RF Mesh network. Furthermore, for a big amount of meters, the proposed strategy process becomes unfeasible in terms of processing time. For that, we have applied an optimized prepartitioning methodology on the proposed strategy that leads to vastly accelerate our proposed strategy to more than 13 times for Montreal dataset with a negligible effect on quality of service (QoS) parameters. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数:10
相关论文
共 19 条
[11]   Optimization of Key Devices Positions in Large-Scale RF Mesh Networks [J].
Mezher, Ahmad Mohamad ;
Rajendran, Nisha ;
Rivera, Pedro Enrique Iturria ;
Santos, Carlos Lester Duenas ;
Meng, Julian ;
Guerra, Eduardo Castillo .
PE-WASUN'19: PROCEEDINGS OF THE 16TH ACM INTERNATIONAL SYMPOSIUM ON PERFORMANCE EVALUATION OF WIRELESS AD HOC, SENSOR, & UBIQUITOUS NETWORKS, 2019, :67-72
[12]   Optimized routers positions for large-scale RF mesh networks based on clustering algorithms [J].
Mezher, Ahmad Mohamad ;
Cardenas-Barrera, Julian ;
Rajendran, Nisha ;
Meng, Julian ;
Guerra, Eduardo Castillo .
AD HOC NETWORKS, 2019, 93
[13]   Mathematically optimized, recursive prepartitioning strategies for k-anonymous microaggregation of large-scale datasets [J].
Pallares, Esteve ;
Rebollo-Monedero, David ;
Rodriguez-Hoyos, Ana ;
Estrada-Jimenez, Jose ;
Mezher, Ahmad Mohamad ;
Forne, Jordi .
EXPERT SYSTEMS WITH APPLICATIONS, 2020, 144
[14]   Modelling the Data Aggregator Positioning Problem in Smart Grids [J].
Rolim, Guilherme ;
Passos, Diego ;
Moraes, Igor ;
Albuquerque, Celio .
CIT/IUCC/DASC/PICOM 2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY - UBIQUITOUS COMPUTING AND COMMUNICATIONS - DEPENDABLE, AUTONOMIC AND SECURE COMPUTING - PERVASIVE INTELLIGENCE AND COMPUTING, 2015, :632-639
[15]  
Silver Spring Networks, 2017, ZPR UT LOOK RF MESH
[16]  
Tabik S., 2016, P INT EUR C PAR DIST, P468
[17]  
U.S. Energy Information Administration, ADV MET COUNT TECHN
[18]  
Varga A, 2010, Modeling and tools for network simulation, DOI [10.1007/978-3-642-12331-33, DOI 10.1007/978-3-642-12331-33]
[19]   Data Aggregation Point Placement Problem in Neighborhood Area Networks of Smart Grid [J].
Wang, Guodong ;
Zhao, Yanxiao ;
Ying, Yulong ;
Huang, Jun ;
Winter, Robb M. .
MOBILE NETWORKS & APPLICATIONS, 2018, 23 (04) :696-708