Low Spreading Loss in Underwater Acoustic Networks Reduces RTS/CTS - - PowerPoint PPT Presentation

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Low Spreading Loss in Underwater Acoustic Networks Reduces RTS/CTS - - PowerPoint PPT Presentation

Low Spreading Loss in Underwater Acoustic Networks Reduces RTS/CTS Effectiveness Jim Partan 1,2 , Jim Kurose 1 , Brian Neil Levine 1 , and James Preisig 2 1 Dept. of Computer Science, University of Massachusetts Amherst 2 Woods Hole Oceanographic


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Low Spreading Loss in Underwater Acoustic Networks Reduces RTS/CTS Effectiveness

Jim Partan1,2, Jim Kurose1, Brian Neil Levine1, and James Preisig2

  • 1Dept. of Computer Science, University of

Massachusetts Amherst

2Woods Hole Oceanographic Institution

Supported by NSF grants CNS‐0519881 and CNS‐0519998 and ONR Grants N00014‐05‐10085 and N00014‐07‐10738.

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Motivation

  • Analyze effectiveness of collision‐avoidance MAC protocols.
  • Effectiveness is independent of propagation delay; depends

upon spreading loss, absorption loss, and ambient noise.

  • Long‐range interference is fundamentally a network effect,

rather than a point‐to‐point communication effect.

  • Spreading loss often

larger than absorption loss, and also less‐well characterized.

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Approach

  • MACA‐based protocols (RTS/CTS/DATA) are

common for RF ad‐hoc multihop networks. Despite propagation delay penalties, also proposed for some UAN scenarios.

  • Primarily Theoretical Analysis

– Significantly extended previous radio‐based analysis to underwater acoustic channel model

  • Model Assumptions:

– For tractability: circular transmission range, dense and uniform node distribution, high offered load, isovelocity waveguides. – Fixed transmit power, single‐band modems.

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Simple Multipath Spreading Models

Radio Pathloss: Two‐Ray Ground Reflection Model k ≈ 4 (2 < k < 6) Shallow Water: Reflections k ≈ 1.5 ( 1 < k < 2) Deep Water: Refraction k ≈ 1.5 (1 < k < 2)

Model: Received Energy scales with range as

  • k: spreading exponent

r: range

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Xu et al. 802.11 RTS/CTS Effectiveness

  • : Maximum transmission range of packet (RTS/CTS coverage).
  • Define as the minimum allowable range to an interferer.
  • Any interferers closer than can disrupt detection at receiver.
  • If , all potential interferers suppressed (a).
  • If , some potential interferers unsuppressed (b,c).
  • Measure of RTS/CTS Effectiveness:

/ Area Interferers ∩ RTS/CTS AreaInterferers 5

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Xu et al. 802.11 RTS/CTS Effectiveness:

Collision avoidance requires detection of RTS/CTS packets: (Detection Threshold) Ignore noise, use spreading exponent , transmitter/receiver separated by , interferer/receiver separated by :

  • At equality,

, solve for minimum allowable range to interferer:

  • Define interference range ratio, , such that
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RTS/CTS Effectiveness (Spreading Only)

and / depend strongly upon detection threshold! 7

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Extend Xu et al. to UAN Channel Model

  • Spreading

– both “practical” and “mixed‐exponent” models

  • Absorption (frequency‐dependent)
  • Ambient Noise (frequency‐dependent)
  • Propagation Delay does not enter analysis

– primary effect considered in most UAN work

  • (f,d) is the fundamental quantity:

– Can isolate channel effects (spreading, absorption, noise) – Use physical reasoning to get approximate analytic expressions 8

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: Spreading, absorption, noise

= 1.5

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: Spreading, absorption, noise

= 1.5

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Hypothesized “Mixed‐Exponent” Spreading Model

  • “Practical” spreading model (k=1.5) was

intended for first‐pass point‐to‐point acoustic systems design.

  • Spreading model not a focus of point‐to‐point

acoustic communications, but is important to determine long‐range interference in networks.

  • Want to maintain simple exponent‐based

model, but incorporate differences between signal processing of packet detection and interference.

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During packet detection:

  • No channel estimate yet – cannot combine arrivals
  • Detector is ideally low‐power (hence low‐complexity),
  • ften uses a matched‐filter detector (e.g. Micromodem)

Modeled Detector uses energy from ONE multipath arrival; spreads approximately spherically.

Packet Detection

12 Multipath Channel

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Multipath Channel

For interfering packets:

  • Packets below detection threshold are not detected.
  • Interference energy is incoherent sum from ALL arrivals
  • Spreads spherically until transition range, then cylindrically
  • Transition range is a small multiple of the waterdepth

Interference and Hypothesized Spreading Model

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: Spreading, absorption, noise

= 1.0 = 2.0

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: Spreading, absorption, noise

= 1.0 = 2.0

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Unsuppressed Interferers

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= 1.5 = 1.0 = 2.0

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Potential Spatial Reuse Improvements

  • With single‐band, fixed transmit power modem, MAC

protocol modifications could potentially reduce collisions, but not increase spatial reuse.

  • Spatial Reuse improvements need to be implemented in

the modem at the physical layer:

– PWM power amplifier for efficient transmit power control. – Lower detection threshold to reduce gamma. – Variable signaling and coding for longer‐range detection of control packets, in particular CTS packet (interference is at the receiver). – Frequency agility to control propagation range of packets

  • Routing Table could avoid long links

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Conclusions

  • Extended previous RF work on RTS/CTS effectiveness to

UANs.

  • With the “practical spreading” (k=1.5) model, RTS/CTS

effectiveness in UANs is comparable to that in radio, aside from propagation delay issues.

  • With hypothesized “mixed‐exponent” spreading model,

RTS/CTS effectiveness can be very low in UANs.

  • Spreading model and detector make a difference in

determining UAN performance!

  • MAC protocol changes can reduce collisions, but not

improve spatial reuse – need physical layer solutions.

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SNR (dB) = (Transmit Power) – (Absorption Loss + Spreading Loss) – (Noise Power)

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: Spreading, absorption, noise

= 1.5

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: Spreading, absorption, noise

= 1.5

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: Spreading, absorption, noise

= 1.0 = 2.0

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: Spreading, absorption, noise

= 1.0 = 2.0

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UAN Operating Regime

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Validated Network Simulations against Numerical Results

  • Added UAN physical channel to OMNET++/Castalia simulator
  • Measured interference range, calculated gamma

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