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Building Blocks for Mobile FreeSpaceOptical Networks

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Simulation models in ns-2 to enable future studies of FSO MANETs ... For our experiments, all wired links are 100 Mbps with 2ms delays and Drop Tail ... – PowerPoint PPT presentation

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Title: Building Blocks for Mobile FreeSpaceOptical Networks


1
Building Blocks for Mobile Free-Space-Optical
Networks
  • Jayasri Akella, Chang Liu, David Partyka, Murat
    Yuksel,
  • Shiv Kalyanaraman, and Partha Dutta
  • Rensselaer Polytechnic Institute
  • Emails sri_at_networks.ecse.rpi.edu,
    yuksem_at_ecse.rpi.edu

shiv rpi
2
Outline
  • Context and Motivation
  • Auto-configurable optical antenna design.
  • Tessellated Spherical Optical Antenna
  • Auto-alignment Circuit
  • Mobility Experiment
  • Simulating Mobile FSO Networks
  • Results and summary

3
Bringing Optical Communications and Ad Hoc
Networking Together
This paper proposes initial building blocks for
this vision
4
Current Commercial FSO
Point-to-Point Links in dense metros, competing
with wires and leased lines Issues How to
achieve link reliability/availability despite
weather
5
Current RF-Based Ad Hoc Networks
  • 802.1x with omni-directional RF antennas
  • High-power typically the most power consuming
    part of laptops
  • Low bandwidth typically the bottleneck link in
    the chain
  • Error-prone, high losses

6
Contributions Ad-hoc FSO BBlocks
  • New optical antenna design
  • Spherical/Honeycomb structure with FSO
    trans-receiver modules
  • Potential logical links function even when
    antennas are in relative motion.
  • Auto-configuration circuit that enables physical
    FSO channel handoff
  • Integrated with optical antenna design
  • Simulation models in ns-2 to enable future
    studies of FSO MANETs
  • Initial tests suggest need to revisit routing and
    TCP layer designs

7
FSO Basics
  • High-brightness LEDs (HBLEDs) are very low cost
    and highly reliable components
  • 35-65 cents a piece, 10 years lifetime
  • Low power consumption (100 microwatts for 10-100
    Mbps!)
  • 4-5 orders of magnitude improvement in energy/bit
    compared to RF
  • Directional gt Huge spatial reuse
  • ButFSO also requires
  • availability of unobstructed line-of-sight (LOS)
    and,
  • alignment of LOS between the transmitter and the
    receiver.

8
LOS Alignment Optical Antenna Concept
  • Tessellated spheres with trans-receiver pairs
  • Line-of-sight (LOS) auto-alignment electronics
  • Rapid alignment handoff gt enables mobility or
    sway, while maintaining the logical link.
  • Tessellated Sphere b) Showing a
    Line of Sight Sphere
  • Tessellated with LEDPD transceivers.

9
Auto-Alignment Circuit Design
  • Pilot signal sent
  • If aligned, signal is fed-back
  • Feedback signal detection gt alignment!
  • Handoff logical link transmit data

10
Alignment Circuit (Contd)
11
Optical antenna Multiple Alignment Circuits
  • Multiple channels gt
  • Connected to a bank of auto-alignment circuits
  • Eg 4-circuit block diagram
  • shown below

12
Optical antenna Experimental Platform (Contd)
  • LEDs high divergence angle
  • PDs angular field of view
  • gt the LED-PD pair forms a transceiver cone.
  • The transceiver cone covers a significant volume
    of 3-dimensional space.
  • Key appropriate packing density to cover entire
    360 steradian of surrounding space.

Tessellated Spherical antennas on stable optical
testing platforms
13
In Action 4-channel spherical optical antenna
Not Aligned Searching phase to locate an LOS
(all channels searching)
Aligned Data Transmission phase (only one
channel active)
14
Mobility Experiment
  • UDP data transfer between the moving toy train on
    a circular track and a data-sink at the center of
    the circle.

15
Auto-alignment Search Phase
16
Auto-alignment Aligned! Data Transfer Phase
17
Intensity vs Mobility _at_ The optical antenna
Aligned
Not aligned
Detector Threshold
Denser packing will allow fewer interruptions
(and smaller buffering), but more handoffs
18
Simulation Model Mobile Ad-Hoc FSO nodes
  • NS-2 Model
  • FSO propagation model (weather effects)
  • FSO antennas (sphere model)
  • Additional parameters
  • directional normals, transmission and receiving
    angles
  • to assist the propagation model and LOS
    calculations.

19
Mobile FSO Simulation (Contd)
  • Initial proof-of-concept
  • 2-D scenario on the XY-plane
  • Spatial reuse and angular diversity features
    illustrated.
  • Single mobile FSO node
  • Circles around four stationary FSO nodes
  • Stationary nodes are connected via wired links to
    a single central node.

20
Simple Experiments
  • Four experiments, varying
  • Speed of mobile node and
  • Distance of the mobile node from the central node

21
TCP sequence numbers in Experiment 1
22
Experiment 1 Data Transfer in Bursts After LOS
discovery
23
Experiment 2 Higher distance gt TCP interactions
lower throughput
24
Experiment 3 Lower distance, higher speeds
TCP affected by higher loss rates periodic
disconnections
25
Observations
  • Need dense tessellation and packing.
  • Need rapid auto-alignment
  • TCP may be affected with increasing distance and
    speed.
  • End-to-end connection is not the same as physical
    link alignment
  • Key
  • Need to provide either bit-level buffering and/or
  • Link-layer hybrid ARQ/FEC to mask such losses
    from TCP
  • Interactions with transport and network level
    protocols will need to be studied and optimized
  • Ongoing work

26
Indoor Ad-Hoc FSO Music App
27
Summary
  • Ad-hoc FSO communication
  • Different from pt-pt FSO and ad-hoc RF
  • Key building blocks
  • Optical antenna tessellated sphere with dense
    packing of trans-receivers
  • Auto-Alignment optoelectronic circuit (simple
    feedback design)
  • Absence of mechanical parts such as motors or
    moving mirrors typically used for auto-alignment
    purpose.
  • Significant savings in power consumption and
    improved alignment reliability.
  • Simple demonstration optical data transmission
    between toy train and ground nodes
  • NS-2 simulation components
  • FSO propagation models
  • Mobile FSO antennas.
  • Initial simulation points to need for optimizing
    interactions w/ transport and network level
    protocols.

28
Thanks!
Students Jayasri Akella, sri_at_networks.ecse.rpi.e
du Dr. Murat Yuksel (post-doc)
yuksem_at_ecse.rpi.edu Chang Liu, c.liu_at_ee.unimelb.ed
u.au David Partyka, partyd_at_rpi.edu Sujatha
Sridharan
shiv rpi
Ps Online free videos of all my advanced
networking classes
29
Details
30
Simulation of mobile FSO nodes continued
  • An FTP session is kept alive between the central
    node and the mobile node. For our experiments,
    all wired links are 100 Mbps with 2ms delays and
    Drop Tail queues, while the FSO nodes are
    configured to only transmit at 20 Mbps. (20Mbps
    is just our configuration limitation, and is not
    a physical limitation as modulation speeds can be
    in the order of GHz in optical bands)
  • Initially, the experiment starts with the mobile
    node and one of the stationary nodes in LOS.
  • Soon after the session is established, the node
    moves around the stationary nodes at a constant
    rate of speed. Routing is performed by ad hoc
    DSDV routing agents and MAC is facilitated by
    802.11 that is already present in NS-2.

31
Simulation of mobile FSO nodes continued
  • We can see that using FSO propagation model in
    the simulation, it is possible to achieve
    connectivity through mobile FSO communication
    even with a very small number of transceivers on
    the spherical optical antenna.
  • The experiments were configured in such a manner
    that LOS is not always present, thus showing that
    connectivity is reestablished when the nodes are
    back in LOS. This is demonstrated by the periods
    of inactivity in the utilization graphs and by
    the plateaus in the TCP sequence number graphs,
    which is shown in the figure.
  • The TCP sequence numbers for the other
    experiments also showed similar behavior, where
    plateaus exist for connectivity periods.
  • Furthermore, increase in the TCP sequence numbers
    imply that
  • All simulation components from physical layer to
    transport layer are setup properly, thereby
    provides validity of our simulation building
    blocks.
  • Transport level good-put can be achieved over a
    highly variant (i.e. frequent LOS changes) FSO
    environment.
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