A Model to Improve the Accuracy of WSN Simulations

被引:0
|
作者
Gama, Oscar [1 ]
Carvalho, Paulo [1 ]
Mendes, P. M. [2 ]
机构
[1] Univ Minho, Dept Informat, P-4719 Braga, Portugal
[2] Univ Minho, Ind Elect Dept, P-4719 Braga, Portugal
来源
关键词
wireless sensor network; simulation; real tests; parameterized model;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Simulation studies have been extensively adopted in the networking research community. Nevertheless, the performance of the software components running within the network devices is often not modeled by generic network simulators. This aspect is particularly important in wireless sensor networks (WSN). As motes present very limited computing resources, the overhead of the software components cannot be ignored. Consequently, WSN simulation results may diverge significantly from the reality. After showing experimentally the validity of this assumption, the paper proposes a set of generic equations to model the performance of WSN software components. Validation tests using contention and multiplexing-based MAC protocols show that the inclusion of the proposed model in a WSN simulator improves the confidence degree in the simulation results significantly.
引用
收藏
页码:128 / 139
页数:12
相关论文
共 50 条
  • [21] Parameter estimation to improve accuracy of mechanical system simulations using rigid body codes
    Jo, SS
    Beale, D
    COMPUTERS & STRUCTURES, 1997, 65 (05) : 679 - 686
  • [22] Research on Passive Location of WSN in Measurement Accuracy
    Yue Yuan
    Yang Wei
    Guo Tao
    Qi Jian
    Hu Meiyan
    Xu Wei
    ISTM/2009: 8TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, 2009, : 2652 - 2655
  • [23] A Model to Improve Granular Temperature in CFD-DEM Simulations
    Yu, Yaxiong
    Zhao, Li
    Li, Yu
    Zhou, Qiang
    ENERGIES, 2020, 13 (18)
  • [24] Model-based analysis to improve the performance of iterative simulations
    Liu, CH
    Rubin, DB
    STATISTICA SINICA, 2002, 12 (03) : 751 - 767
  • [25] A Method to Improve Accuracy of Velocity Prediction Using Markov Model
    Liu, Ya-dan
    Chu, Liang
    Xu, Nan
    Jia, Yi-fan
    Xu, Zhe
    NEURAL INFORMATION PROCESSING, ICONIP 2017, PT V, 2017, 10638 : 378 - 386
  • [26] A new user similarity model to improve the accuracy of collaborative filtering
    Liu, Haifeng
    Hu, Zheng
    Mian, Ahmad
    Tian, Hui
    Zhu, Xuzhen
    KNOWLEDGE-BASED SYSTEMS, 2014, 56 : 156 - 166
  • [27] Does model complexity improve pricing accuracy? The case of CoCos
    Koziol, Christian
    Weitz, Sebastian
    REVIEW OF DERIVATIVES RESEARCH, 2021, 24 (03) : 261 - 284
  • [28] Does model complexity improve pricing accuracy? The case of CoCos
    Christian Koziol
    Sebastian Weitz
    Review of Derivatives Research, 2021, 24 : 261 - 284
  • [29] Algorithm to Improve the Accuracy of Linear Coordinates in Model Railroading Way
    Ivashchenko, O. A.
    Minina, A. A.
    Orlova, N. V.
    2015 XVIII International Conference on Soft Computing and Measurements (SCM), 2015, : 233 - 234
  • [30] Application of a quantitative framework to improve the accuracy of a bacterial infection model
    Lewin, Gina R.
    Kapur, Ananya
    Cornforth, Daniel M.
    Duncan, Rebecca P.
    Diggle, Frances L.
    Moustafa, Dina A.
    Harrison, Simone A.
    Skaar, Eric P.
    Chazin, Walter J.
    Goldberg, Joanna B.
    Bomberger, Jennifer M.
    Whiteley, Marvin
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2023, 120 (19)