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Research ArticleArticles

City Trees and Municipal Wi-Fi Networks: Compatibility or Conflict?

Igor Lacán and Joe R. McBride
Arboriculture & Urban Forestry (AUF) July 2009, 35 (4) 203-210; DOI: https://doi.org/10.48044/jauf.2009.034
Igor Lacán
Igor Laćan (corresponding author), Postdoctoral Researcher, University of California, Berkeley, Department of Environmental Science, Policy and Management, 137 Mulford Hall # 3114, Berkeley, CA 94720–3114, U.S.,
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  • For correspondence: [email protected]
Joe R. McBride
Joe R. McBride, Professor, University of California, Berkeley, Department of Environmental Science, Policy & Management, and Department of Landscape Architecture & Environmental Planning, 137 Mulford Hall # 3114, Berkeley, CA 94720–3114, U.S.,
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  • For correspondence: [email protected]
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Figures

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  • Figure 1.
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    Figure 1.

    Schematic of the experimental setup (plan view).

  • Figure 2a.
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    Figure 2a.

    “Clear condition,” AP visible (the white box with two aerials, on the horizontal arm next to the lamp; arrow).

  • Figure 2b.
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    Figure 2b.

    “Tree condition,” AP obscured by L. tulipifera (lower part of the light pole visible to the left of the tree trunk).

  • Figure 3.
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    Figure 3.

    Effect of a single large broadleaf tree (Liriodendron tulipifera, tree shown in Figure 2); in-leaf (a), and defoliated (b), on signal and noise levels, at two AP-computer distances. Each boxplot summarizes ≈5 minutes of signal and noise data. Legend: light grey: signal - clear condition; dark grey: signal - tree condition; corresponding noise data in white boxes under each signal box. Extent of tree canopy shown by the thick line placed at about −88 dBm (black line: tree in leaf; grey line: tree defoliated). The minimum required signal strength (−75 dBm) shown by dotted line.

  • Figure 4.
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    Figure 4.

    Effect of two large conifer trees in a park (Pinus pinea) on signal and noise levels in summer (a), and in winter (b). Legend as in Figure 3.

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    Figure 5.

    Effects of small street trees (Platanus x acerifolia) on signal and noise levels (3, 6, and 11 trees in signal path); in-leaf (a), and defoliated (b). Legend as in Figure 3.

  • Figure 6.
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    Figure 6.

    Effects of medium-sized street trees (Liquidambar styraciflua), in-leaf (a), and defoliated (b), on signal & noise levels (1, 4, and 9 trees in signal path). Legend as in Figure 3.

  • Figure 7.
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    Figure 7.

    The signal-attenuation increase with canopy depth. Dotted lines are 95% confidence bands for the fitted line. Note the high outliers at 5 m (16 ft) canopy depth: this is the large L. tulipifera, shown in Figure 2 and Figure 3.

Tables

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    Table 1:

    Tree characteristics and signal parameters (in dB) measured in a municipal Wi-Fi network in Mountain View, California.

    LocationTree sp.Leaf size (mm × mm)# of trees in LOSCanopy depth (m)Dist. to AP (m)Δ Signalz, summer Clear - Tree in leafΔ Signal, winter Clear - Tree defoliatedΔ Noise, summer Clear - Tree in leafΔ Noise, winter Clear - Tree defoliated
    Bernardo StreetPlatanus × acerifolia100 × 100
    to
    160 × 180
    1124.5150−0.33.50.20
    61490−13.20.30.1
    36.5301.93.2−0.10.7
    Bernardo StreetPrunus cerasifera40 × 80423907.48.7−0.3−0.7
    Cuesta ParkLiriodendron tulipifera120 × 120133013.1110−1
    1011.82.70.4−1.7
    Villa StreetPistacia chinensis70 × 20
    (240 × 170)
    44154--------
    322233.64.20.90.8
    Glenborough StreetLiquidambar styraciflua100 × 1209521007.63.90−0.7
    421602.25.1−0.4−0.1
    15302.62.30.10.1
    Cuesta ParkPinus radiata, Sequoia sempervirens100 × 1.5,
    18 × 40
    (150 × 20)
    7759018.714−0.11.1
    335455.15.6−1.2−0.3
    110202.12.2−0.51.2
    Cuesta ParkPinus pinea140 × 1.52256049.40.3−0.1
    Average attenuation:(all trees: n = 7):5.3y5.6y−0.03x−0.04
    (defoliated broadleaf: n = 5):4.8y−0.20
    • ↵zNegative values indicate a stronger signal (or lower noise) with tree(s) in LOS.

    • ↵ySignificant differences (P < 0.05) in signal level between clear & tree condition.

    • ↵xDifferences of < 0.5 dB cannot be measured reliably in the outdoor environment.

    • View popup
    Table 2:

    Results of general linear model (GLM) analysis describing the factors that influence the attenuation of Wi-Fi signal, noise, and signal-to-noise ratio (SNR).

    Factors tested (coefficients for the factors retained in final model)
    InterceptDistance to AP (m)Tree countTree size (S,M,L)Canopy depth (m)Broadleaf or coniferIn-leaf or depth (m)Leaf area (cm2)Leaf dim ratio
    MetricModel r2
    FullzFinaly
    ΔSNR−7.836––− 4.77x0.123w−4.89x–––0.620.58
    ΔSignal−1.308––− 4.40x0.124w−4.37x–––0.640.55
    ΔNoise–––––––––0.250.00
    • ↵z“Full model”: includes all variables.

    • ↵y“Final model”: includes only the variables that were retained by the stepwise procedure.

    • ↵xP < 0.001

    • ↵w0.001 < P < 0.05

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Arboriculture & Urban Forestry (AUF): 35 (4)
Arboriculture & Urban Forestry (AUF)
Vol. 35, Issue 4
July 2009
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City Trees and Municipal Wi-Fi Networks: Compatibility or Conflict?
Igor Lacán, Joe R. McBride
Arboriculture & Urban Forestry (AUF) Jul 2009, 35 (4) 203-210; DOI: 10.48044/jauf.2009.034

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City Trees and Municipal Wi-Fi Networks: Compatibility or Conflict?
Igor Lacán, Joe R. McBride
Arboriculture & Urban Forestry (AUF) Jul 2009, 35 (4) 203-210; DOI: 10.48044/jauf.2009.034
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Keywords

  • Interference
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