Lessons Learned from Large-scale Dense IEEE802.15.4 Connectivity Traces

被引:0
|
作者
Watteyne, Thomas [1 ]
Adjih, Cedric [2 ]
Vilajosana, Xavier [3 ]
机构
[1] Inria, EVA Team, Paris, France
[2] Inria, InFine Team, Saclay, France
[3] Univ Oberta Catalunya, Barcelona, Spain
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Time Synchronized Channel Hopping (TSCH) is a technique known to efficiently combat external interference and multi-path fading. TSCH is at the heart of industrial low-power wireless standards such as WirelessHART and IEEE802.15.4e, and the focus of the current standardization activities at IETF 6TiSCH. In a TSCH network, communicating nodes send successive link-layer frames at different frequencies. The performance of such frequency-agile communication is not well understood. In this paper, we propose an empirical approach. We conduct an experiment to record the connectivity between 350 nodes in a typical office environment, simultaneously on each of the 16 frequencies at 2.4 GHz. Analysis reveals the impact of WiFi interference on the reliability of the IEEE802.15.4 wireless links: even when the WiFi network sits idle, IEEE802.11 beaconing causes a significant number of links to drop from 90% to 70-80% packet delivery ratio. It also reveals the impact of multi-path fading, showing how moving a pair of nodes can cause their link to go from perfect to non-existing. Results show that the quality of each link depends heavily on the communication frequency. The paper shows the effectiveness of channel hopping: by simply changing the communication frequency between successive transmissions, less nodes are required to cover a geographical area. The paper discusses the importance of the frequency to retransmit on. The 5-hour connectivity trace reveals a wealth of information. This paper is only a first step towards a much larger dataset collected over a representative number of real-world deployments.
引用
收藏
页码:145 / 150
页数:6
相关论文
共 50 条
  • [1] Lessons Learned from Large-Scale Refactoring
    Wright, Hyrum K.
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION (ICSME 2019), 2019, : 366 - 366
  • [2] Lessons Learned from Large-Scale Aerospace Structural Testing
    Lovejoy, Andrew E.
    Jegley, Dawn C.
    Hilburger, Mark W.
    Przekop, Adam
    [J]. AIAA JOURNAL, 2023, 61 (11) : 5110 - 5120
  • [3] LESSONS LEARNED FROM FLIPPING A LARGE-SCALE PROGRAMMING COURSE
    Wilson, S.
    [J]. 11TH INTERNATIONAL CONFERENCE OF EDUCATION, RESEARCH AND INNOVATION (ICERI2018), 2018, : 3594 - 3601
  • [4] On MAC Layer protocols towards internet of things: From IEEE802.15.4 to IEEE802.15.4e
    Ben Yaala, Sahar
    Bouallegue, Ridha
    [J]. 2016 24TH INTERNATIONAL CONFERENCE ON SOFTWARE, TELECOMMUNICATIONS AND COMPUTER NETWORKS (SOFTCOM), 2016, : 164 - 168
  • [5] Lessons Learned in Large-Scale Revamp Projects
    Bedair, Osama
    [J]. PRACTICE PERIODICAL ON STRUCTURAL DESIGN AND CONSTRUCTION, 2023, 28 (03)
  • [6] Lessons learned on five large-scale system developments
    Ozarin, Nat
    [J]. IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE, 2008, 11 (01) : 18 - 23
  • [7] Lessons Learned in a Large-Scale Mass Casualty Simulation
    Winters, Blaine
    Lund, Emily
    Sylvester, Kayla
    Price, Lauren
    [J]. JOURNAL OF NURSING EDUCATION, 2022, 61 (01) : 50 - +
  • [8] Lessons learned on five large-scale system developments
    Ozarin, Nathaniel
    [J]. 2007 1ST ANNUAL IEEE SYSTEMS CONFERENCE, 2007, : 329 - +
  • [9] Hierarchical Topology Formation in Large-Scale IEEE 802.15.4 Wireless Sensor Networks
    Siedersberger, D.
    Montez, Carlos
    Leao, Erico
    Vasques, F.
    [J]. 45TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2019), 2019, : 2837 - 2842
  • [10] Large-scale regional assessments: Lessons learned from the Southern Appalachian Assessment
    Wear, DN
    [J]. ECOLOGICAL MODELING FOR RESOURCE MANAGEMENT, 2003, : 70 - 85