Python']Python-Based TinyIPFIX in Wireless Sensor Networks

被引：1
|
作者：
Schiller, Eryk [1 ]
Huber, Ramon [1 ]
Stiller, Burkhard [1 ]
机构：
[1] Univ Zurich UZH, Dept Informat IfI, Commun Syst Grp CSG, Binzmuhlestr 14, CH-8050 Zurich, Switzerland
来源：
PROCEEDINGS OF THE IEEE 46TH CONFERENCE ON LOCAL COMPUTER NETWORKS (LCN 2021) | 2021年
关键词：
Wireless Sensor Networks; Internet-of-Things; TinyIPFIX; Espressif ESP32-WROOM-32D; Network Function Virtualization (NFV);
D O I：
10.1109/LCN52139.2021.9525017
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
While Wireless Sensor Networks (WSN) offer potentials, their limited programmability and energy-limitations determine operational challenges. Thus, a TinyIPFIX-based system was designed, such that this application layer protocol is now usable to exchange data in WSNs efficiently. The system implementation in MicroPython is simple and efficient in comparison to a lower level programming language, while displaying valuable properties in terms of overhead and power efficiency. Furthermore, it demonstrates that MicroPython may pave the way towards Network Function Virtualization (NFV) on Internet-of-Things (IoT) devices by providing highly portable software functions implemented in a high-level programming language.
引用
收藏
页码：431 / 434
页数：4
相关论文
共 50 条
  • [1] Python']Python-Based TinyIPFIX in Wireless Sensor Networks
    Schiller, Eryk
    Huber, Ramon
    Stiller, Burkhard
    ELECTRONICS, 2022, 11 (03)
  • [2] Bayesian Neural Networks via MCMC: A Python']Python-Based Tutorial
    Chandra, Rohitash
    Simmons, Joshua
    IEEE ACCESS, 2024, 12 : 70519 - 70549
  • [3] MicroPython']Python-based Sensor Node with Asymmetric Encryption for Ubiquitous Sensor Networks
    ter Horst, Ulrich
    Hasberg, Hagen
    Schulz, Stephan
    2021 IEEE INTERNATIONAL IOT, ELECTRONICS AND MECHATRONICS CONFERENCE (IEMTRONICS), 2021, : 608 - 613
  • [4] QuaPy: A Python']Python-Based Framework for Quantification
    Moreo, Alejandro
    Esuli, Andrea
    Sebastiani, Fabrizio
    PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021, 2021, : 4534 - 4543
  • [5] Python']Python-based In Situ Analysis and Visualization
    Loring, Burlen
    Myers, Andrew
    Camp, David
    Bethel, E. Wes
    PROCEEDINGS OF IN SITU INFRASTRUCTURES FOR ENABLING EXTREME-SCALE ANALYSIS AND VISUALIZATION (ISAV 2018), 2018, : 19 - 24
  • [6] PACO: Python']Python-Based Atmospheric Correction
    de los Reyes, Raquel
    Langheinrich, Maximilian
    Schwind, Peter
    Richter, Rudolf
    Pflug, Bringfried
    Bachmann, Martin
    Mueller, Rupert
    Carmona, Emiliano
    Zekoll, Viktoria
    Reinartz, Peter
    SENSORS, 2020, 20 (05)
  • [7] A Python']Python-based undergraduate course in computational macroeconomics
    Jenkins, Brian C.
    JOURNAL OF ECONOMIC EDUCATION, 2022, 53 (02): : 126 - 140
  • [8] An Introduction to Programming for Bioscientists: A Python']Python-Based Primer
    Ekmekci, Berk
    McAnany, Charles E.
    Mura, Cameron
    PLOS COMPUTATIONAL BIOLOGY, 2016, 12 (06)
  • [9] A python']python-based multicriteria portfolio selection DSS
    Xidonas, Panos
    Doukas, Haris
    Sarmas, Elissaios
    RAIRO-OPERATIONS RESEARCH, 2021, 55 : S3009 - S3034
  • [10] New Python']Python-based methods for data processing
    Sauter, Nicholas K.
    Hattne, Johan
    Grosse-Kunstleve, Ralf W.
    Echols, Nathaniel
    ACTA CRYSTALLOGRAPHICA SECTION D-STRUCTURAL BIOLOGY, 2013, 69 : 1274 - 1282
12345