Analysis of Large-Scale Experimental Data from Wireless Networks

被引：0
|
作者：
Seidel, Stephen A. [1 ]
Mehari, Michael T. [2 ]
Colbourn, Charles J. [1 ]
De Poorter, Eli [2 ]
Moerman, Ingrid [2 ]
Syrotiuk, Violet R. [1 ]
机构：
[1] Arizona State Univ, Sch Comp Informat & Decis Syst Engn, Tempe, AZ 85287 USA
[2] Univ Ghent, IMEC, Dept Informat Technol INTEC, Internet & Data Sci ID Lab, B-9052 Ghent, Belgium
来源：
IEEE INFOCOM 2018 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS) | 2018年
基金：
欧盟地平线“2020”; 美国国家科学基金会;
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The experimental design and subsequent analysis of the data collected from experimentation are tightly coupled. This paper considers techniques for the analysis of data collected from experimentation based on a locating array. Because locating arrays can be highly unbalanced, new analysis techniques are required. In order to cope with noise in the measured performance data, a search is conducted to identify the significant parameters and interactions that impact the data. A novel "heavy hitters" bounded breadth-first search (BFS) tree algorithm is proposed for analysis. It is used to validate data collected from large-scale experimentation with a physical wireless network testbed and a wireless network simulator, varying 24 and 75 parameters, respectively.
引用
收藏
页码：535 / 540
页数：6
相关论文
共 50 条
  • [1] Large-Scale 802.11 Wireless Networks Data Analysis Based on Graph Clustering
    Capdehourat, German
    Bermolen, Paola
    Fiori, Marcelo
    Frevenza, Nicolas
    Larroca, Federico
    Morales, Gaston
    Rattaro, Claudina
    Zunino, Gianina
    WIRELESS PERSONAL COMMUNICATIONS, 2021, 120 (02) : 1791 - 1819
  • [2] Large-Scale 802.11 Wireless Networks Data Analysis Based on Graph Clustering
    Germán Capdehourat
    Paola Bermolen
    Marcelo Fiori
    Nicolás Frevenza
    Federico Larroca
    Gastón Morales
    Claudina Rattaro
    Gianina Zunino
    Wireless Personal Communications, 2021, 120 : 1791 - 1819
  • [3] Design and Analysis of Compressive Data Persistence in Large-Scale Wireless Sensor Networks
    Liu, Feng
    Lin, Mu
    Hu, Yusuo
    Luo, Chong
    Wu, Feng
    IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2015, 26 (10) : 2685 - 2698
  • [4] Aging analysis in large-scale wireless sensor networks
    Lee, Jae-Joon
    Krishnamachari, Bhaskar
    Kuo, C. -C. Jay
    AD HOC NETWORKS, 2008, 6 (07) : 1117 - 1133
  • [5] Percolation analysis of large-scale wireless balloon networks
    M.D.Nashid Anjum
    Honggang Wang
    Hua Fang
    Digital Communications and Networks, 2019, 5 (02) : 84 - 93
  • [6] Delay Analysis of Large-Scale Wireless Sensor Networks
    Yin, Jun
    Wang, Yun
    Wang, Xiaodong
    MOBILE COMPUTING, APPLICATIONS AND SERVICES, 2010, 35 : 355 - +
  • [7] Percolation analysis of large-scale wireless balloon networks
    Anjum, M. D. Nashid
    Wang, Honggang
    Fang, Hua
    DIGITAL COMMUNICATIONS AND NETWORKS, 2019, 5 (02) : 84 - 93
  • [8] Data Gathering and Processing for Large-Scale Wireless Sensor Networks
    Xing, Xiaofei
    Xie, Dongqing
    Wang, Guojun
    2013 IEEE NINTH INTERNATIONAL CONFERENCE ON MOBILE AD-HOC AND SENSOR NETWORKS (MSN 2013), 2013, : 354 - 358
  • [9] Big Data Collection in Large-Scale Wireless Sensor Networks
    Djedouboum, Asside Christian
    Ari, Ado Adamou Abba
    Gueroui, Abdelhak Mourad
    Mohamadou, Alidou
    Aliouat, Zibouda
    SENSORS, 2018, 18 (12)
  • [10] Compressive Data Gathering for Large-Scale Wireless Sensor Networks
    Luo, Chong
    Wu, Feng
    Sun, Jun
    Chen, Chang Wen
    FIFTEENTH ACM INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING (MOBICOM 2009), 2009, : 145 - 156
12345