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Title: MobiSteer: Using Steerable Beam Directional Antenna for Vehicular Network Access


1
MobiSteer Using Steerable Beam Directional
Antenna for Vehicular Network Access
  • V. Navda, A.P. Subramanian, K. Dhanasekaran,
    A. Timm-Giel and S.R. Das
  • Stony Brook Univ., NY, U.S.A.
  • Univ. of Bremen, Germany
  • Best Paper Award, MobiSys 2007
  • Slides and Presented by Yong Yang, UIUC
  • Sept 20, 2007

2
Motivation
  • Performance of vehicular access of roadside APs
    is still poor 1
  • Median connection duration 13s
  • Delivery rate 80
  • Goal to improve the duration and quality (data
    rate or SNR) of connectivity to APs.

1 V. Bychkovsky, B. Hull, A.K. Miu, H.
Balakrishman, and S. Madden. A Measurement Study
of Vehicular Internet Access Using In Situ Wi-Fi
Networks, MobiCom06 Best Paper
3
Basic Idea
  • Use directional antenna
  • Continuously steering the beam appropriately as
    the vehicle moves
  • Handoff to another AP when better beam is
    available

4
Overview
  • Hardware Setup
  • Software Setup
  • AP and Beam Selection Algorithm
  • Two modes cached or online
  • Experiments
  • In controlled environment
  • In in-situ environment

5
Hardware Setup
  • Steerable Phocus Array antenna
  • Omni-directional beam
  • 16 directional beams (45 width, 22.5
    overlapping with neighbors)
  • Use 8 non-overlapping beams

6
Hardware Setup (contd.)
  • Soekris net4511 board
  • 100/133Mhz AMD proc, 64MB SDRAM
  • 802.11 a/b/g miniPCI card based on Atheros
    chipset
  • USB-based Garmin GPS receiver
  • APs are Soekris net4826 router boards with 802.11
    miniPCI cards and omni-directional antennas

7
Software Setup
  • Embedded computer runs pebble Linux
  • Madwifi driver for 802.11 interface
  • Implement ioctl() for controlling the antenna
    beaming
  • Create a virtual interface in monitor mode
  • Modify a packet sniffer software, Kismet
  • Capture packets received on the virtual interface
  • Communicate with a GPS daemon
  • Stamp received packets with current time, GPS
    coordinates, beam pattern, channel, PHY rate and
    SNR.
  • Log this information as the RF Signature Database

8
Operation Overview
  • Cached mode
  • when driving in a familiar route
  • Use RF signature database to determine optimal
    beam steering and AP selection
  • Online mode
  • When driving in a previously untraveled route
  • Probe the environment and choose the best AP and
    Beam combination based on probing responses.

9
Operation Overview (contd.)
10
Cached Mode Operation
  • Discretize the route into segments of length ?
  • All RF tuples in the same segment are analyzed to
    compute the best AP and beam combination
  • Make selection at the start of a segment i
  • Should we hand off from AP k to AP j ?
  • Suppose
  • Si is the current speed
  • h(k, j) hand-off latency from AP k to AP j
  • r(i, j) bit rate when associate with AP j in
    segement i
  • So useful time t(i,j,k) ?/Si - h(k, j)
  • Throughput is r(i, j)t(i, j, k)

11
Cached Mode Operation (contd.)
  • Dynamic programming to compute the best AP for
    each segment such that the aggregate throughput
    is maximized
  • If best(N, m) is highest for the last step, then
    we trace backaward, selecting prev(N,m) for
    segment N-1, prev (N-1, prev(N,m)) for segment
    N-2,

12
Cached Mode Experiments
  • Controlled Scenarios
  • In-situ Scenario
  • Urban roadways near Stony Brook Univ.

A large empty parking lot
Graduate student apartment complex
13
Parking Lot
  • 10 drives on the same route
  • 8 such sets of drives on different days
  • Location of the peak performance shifts as beams
    are changed
  • Omini beam has modest performance
  • MobiSteer outperforms others

? 5m, low speed
14
Apt Complex
  • Similar result, MobiSteer outperforms others
  • Because of multi-path effect
  • Shift in the peak point is not that clear
  • All beams offer similar performance

15
In-Situ Experiment
  • Drove about 5km around campus on different days
  • Average speed it 30-40 miles/h and ? 40m
  • Discovered 307 unique APs

16
Online Mode
  • 1. Probe over all beams and channels
  • 2. Associate with APi if ltAPi, beamjgt has highest
    SNR
  • 3. After d consecutive packet drops, switch to
    the next best ltAPi, beamkgt
  • 4. If no other beam for APi, or the last beam
    failed to transmit all packets, choose next best
    AP
  • 5. If no other AP available, restart

17
Apt Complex Experiment
  • 39 less packets are received comparing to cached
    mode
  • Probing takes 3080ms
  • sub optimal since combinations are discovered
    during probing instead of communication

18
In-situ Experiment
  • Online mode performs better sometimes due to
    availability of fresher channel estimates
  • But in general, scanning all beams and channels
    incurs a large penalty

19
Conclusions
  • AP and beam selection algorithms
  • How to determine if on the familiar route and for
    how long
  • Determine ?
  • Short for low speed good granularity for
    optimization
  • Long for high speed enough time for probing and
    scanning
  • Experiment in controlled and in-situ scenarios
  • Use the distance for which AP is heard as the
    measure for connectivity duration

20
Some Other MobiSys07 Papers
  • Real-Time Deployment of Multihop Relays for Range
    Extension
  • M. Souryal et al (National. Inst. Of Standard and
    Tech.)
  • Shooter Localization and Weapon Classification
    with Soldier-Wearable Networked Sensors
  • P. Volgyesi et al (Vanderbilt Univ.)
  • Context-for-Wireless Context-Sensitive
    Engery-Efficient Wireless Data Transfer
  • A. Rahmati et al (Rice Univ.)
  • Wireless Wakeups Revisited Energy Management for
    VoIP over Wi-Fi Smartphones
  • Y. Agarwal et al (UCSD, Microsoft Research)
  • MobiUS Enalble Together-Viewing Video Experience
    across Two Mobile Devices
  • G. Shen et al(Microsft Research Asia), Best Demo
    Award
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