Link Range and (In)Stability on Sensor Network Architecture

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Link Range and (In)Stability on Sensor Network Architecture

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Bhaskaran Raman, Kameswari Chebrolu, Naveen Madabhushi, ... Indian Institute of Technology, Kanpur. The First ACM International Workshop on Wireless Network ... –

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Title: Link Range and (In)Stability on Sensor Network Architecture


1
Link Range and (In)Stability onSensor Network
Architecture
  • Bhaskaran Raman, Kameswari Chebrolu, Naveen
    Madabhushi, Dattatraya Y. Gokhale, Phani K.
    Valiveti, Dheeraj Jain
  • Indian Institute of Technology, Kanpur
  • The First ACM International Workshop on Wireless
    Network Testbeds, Experimental evaluation and
    CHaracterization (WiNTECH 2006), A MOBICOM 2006
    Workshop
  • Presenter Ahey
  • Date 2007/05/07

2
Outline
  • Motivation
  • External antenna communication range study
  • Link stability measurements
  • Conclusions
  • Discussions

3
Motivation (1/2)
  • The authors have two claims here
  • (1) Use of external antenna
  • improve communication range
  • more single hop links
  • simplify protocol design
  • energy efficient
  • (2) Dynamic metric based routing questionable due
    to the high variability of RSSI

4
Motivation(2/2)
  • What should be the network architecture?
  • What is the radio communication range?
  • Study communication range, with the use of
    external antennae
  • Expected number of hops from/to base node
  • Temporal stability of links error rate, RSSI,
    LQI
  • Does dynamic distributed routing make sense?
  • If so, at what time scale? If not, what else?

5
Outline
  • Motivation
  • External antenna communication range study
  • Link stability measurements
  • Conclusions
  • Discussions

6
External Antenna Preliminaries
  • Cost 50-120
  • Form factor 0.5-1m, 0.5- 5kg
  • dBi (decibels relative to isotropic)
  • G is said to be the gain of the antenna
  • When we want to compare antenna gain to an
    absolute level, we use dBi 10log10(G)
  • The antenna gain is referenced to an isotropic
    antenna
  • Link symmetry is not affected by antenna type
    because transmit gain receive gain

7
Experimental Setup (1/2)
  • Tmote sky with CC2420 (802.15.4 compliant)
  • Internal antenna 3.1dBi gain
  • External connector SMA
  • Grid (24dBi, 8o), sector (17dBi, 90o),
    omni (8dBi) ? beam width
  • Several antenna combinations
  • (1) internal-internal, (2) omni-internal,
  • (3) sector-internal, (4) grid-internal, (5)
    omni-omni,
  • (6) sector-omni, (7) grid-omni.

8
Experimental Setup (2/2)
  • Transmitter
  • 6000 packets, about 2 minutes, with one 24 byte
    packet sent every 20ms
  • Transmit power 0dBm (max. possible)
  • Receiver
  • TOSBase, connected to laptop
  • Collect RSSI, LQI values
  • Environment
  • Dense foliage (with heavy path loss)
  • Narrow road (with mostly line-of-sight path)

9
Range in Dense Foliage
  • Receiver
  • on tripod (1.5m)
  • Internal ant. only
  • Transmitter
  • 1.5m
  • 6000 packets
  • (60 bins x 100 pkts)
  • Computer avg. pkt.
  • error rate and avg. RSSI
  • over 100 packet bins

10
Range in Narrow Road (1/2)
  • Transmitter
  • at 3.8m for sector/grid
  • antennas
  • Rows with bold font
  • Indicate the approximate
  • range of the particular
  • transmitter antenna
  • Not always the
  • farther, the higher

11
Range in Narrow Road (2/2)
12
Implications of Link Range
  • More one-hop nodes, lesser hops
  • gt better network lifetime
  • Foliage range of about 90m
  • Useful for applications such as the redwood
    study
  • Can have just a single-hop network!
  • Volcano monitoring 200-400m range reported
  • Range of about 800m with grid antenna
  • Useful in situations like Volcano monitor,
    BriMon

13
Outline
  • Motivation
  • External antenna communication range study
  • Link stability measurements
  • Conclusions
  • Discussions

14
Controlled Calibration Setup
  • Step attenuator varied from 0dB to 93dB
  • 5000 packet 50 bins x 100 packets
  • For each bin error rate, and avg. RSSI
  • The receive sensitivity can be found

15
Receive Sensitivity around 90dB
16
RSSI Variability in Other Environment
17
RSSI Variability in Other Environment
  • Results similar to Emnet 2006 RSSI is
    underappreciated
  • Good correlation between RSSI and error rate
    above some threshold
  • But larger spread region (large variability) for
    multi-path prone environment (foliage)
  • LQI variability similar to RSSI variability
  • 1/LQI, 1/PSR metrics would be unstable

18
Temporal variability in RSSI
  • Omni-50m, foliage, avg. pkt. error rate is 7.2
    (neither close to 0 or 100) , without binning
  • Large variation (about 15dB)

19
unstable
good
unstable
20
Outline
  • Motivation
  • External antenna communication range study
  • Link stability measurements
  • Conclusions
  • Discussions

21
Conclusions
  • Range 500-800m
  • Number of one-hop nodes can be increased
  • Better life-time
  • Variability in time-scales of 2s, 20s, hours
  • Dynamic metric-based routing may not be useful
  • Plan for good links, use centralized routing
  • Problems arise when RSSI window overlaps with the
    steep region
  • Provide sufficient link margin to plan the
    deployment to have good links at the beginning
  • Dynamic routing metrics unnecessary

22
Conclusions
  • Base node is a powerful node anyway
  • Can do centralized routing
  • Design, implementation, network might easier
  • Think real hard before falling for randomly
    deployed sensor nodes, self-organizing,
    distributed dynamic routing
  • Good for solving nice problems on paper
  • Practical value questionable

23
Outline
  • Motivation
  • External antenna communication range study
  • Link stability measurements
  • Conclusions
  • Discussions

24
Discussions
  • Contributions Strength
  • A good survey about using external antenna to
    improve radio range
  • Give some insight about the possibility of
    one-hop sensor network and dynamic routing (for
    outdoor application)
  • Provide temporal variation of RSSI within one
    node (which is not discussed in the previous
    Emnet paper)

25
Discussions
  • Weakness
  • Though RSSI variation is large, it can be a not
    bad link quality predictor as the experiment
    results show. The conclusion here is too strong
    but not totally convincing.
  • The duration of the experiment is not long enough
    ( about 2 hours).

26
Relevance to our research
  • Han got similar conclusion for our testbed.
    Static routing metrics (to decide whether it is a
    stable link by RSSI from the very beginning) may
    be enough.
  • However, for the medium quality links, more
    experiments can be done to quantify the accuracy
    using RSSI, LQI as the predictor of PRR
    dynamically.
  • Is one-hop or multi-hop better? Need more network
    overhead v.s reachability analysis.
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