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DEFINIZIONE E ANALISI DI STRATEGIE DI ALLOCAZIONE DINAMICA DEI CANALI IN P.R.I.M.O.

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Title: DEFINIZIONE E ANALISI DI STRATEGIE DI ALLOCAZIONE DINAMICA DEI CANALI IN P.R.I.M.O.


1
Special Interest Group on
NEtworking Telecommunications
An Effective Broadcast Scheme for Alert Message
Propagationin Vehicular Ad Hoc Networks
An Effective Broadcast Scheme for Alert Message
Propagationin Vehicular Ad Hoc Networks
E. Fasolo, A. Zanella and M. Zorzi
E. Fasolo, A. Zanella and M. Zorzi
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2
Special Interest Group on
NEtworking Telecommunications
www.dei.unipd.it/ricerca/signet
An Effective Broadcast Scheme for Alert Message
Propagationin Vehicular Ad Hoc Networks
E. Fasolo, A. Zanella and M. Zorzi
Department of Information Engineering University
of Padovafasoloel, zanella, zorzi_at_dei.unipd.it
Speaker Stefano Tomasin
June, 14th 2006.
3
Aim of the study
  • Design a broadcast protocol for alert message
    delivery in a vehicular scenario
  • Maximize reliability
  • Minimize delivery latency
  • Analytical modeling of the protocol
  • Evaluate protocol performance
  • Optimize protocol parameters
  • Comparison with other broadcast protocols

4
Smart Broadcast Protocol (SBP)?
  • Main Features
  • Position-based scheme
  • Running on top of IEEE 802.11-like system
  • Completely distributed
  • Limited control traffic
  • System Model
  • Street Long and narrow rectangular area
  • Nodes placed according to a Poisson distribution
  • Nodes known their own position only

5
SBP Initial Assumptions
Forbidden area
AIM Maximize broadcast-message advancement
along propagation line
  • Coverage area is split into n sectors Si
  • Sectors are assigned adjacent contention windows
    Wj, j1...,n

S1
Sn

Msg propagation direction
W1
Wn
W2
Wi
0
cwi
cw1 cw2... cwn
Positive advancement in the propagation direction
Propagation direction
6
SBP Relay Election
  • Source sends an RTB (Request To Broadcast)
    message
  • Nodes that receive RTB message
  • Determine the sector they belong to
  • Schedule the retransmission of a CTB (Clear To
    Broadcast) message after a random backoff time b
    uniformly selected in their contention window
  • Countdown _at_ each idle slot, freeze in busy slots
  • Node that first transmits successfully a CTB
    (Clear To Broadcast) message becomes the Next
    Relay

NEXT RELAY
Source
Contention Winner
Backing off node
7
SBP Collision Resolution
NEXT RELAY
Source
  • If two or more nodes select the same backoff
    time, CTB messages will collide
  • After collisions, procedure is resumed by the
    other backing off nodes (if any)?
  • If any CTB message is received before the maximum
    backoff period has elapsed, procedure is started
    anew

Contention Winner
b11
bn2
Backing off node
Collided node
Sn
bj1
bn1

b11
S1
A COLLISION OCCURS
Propagation direction
8
Theoretical Analysis Initial Assumptions
  • Nodes are distributed with density ? in each
    sector
  • Nodes in sector Sj select backoff slots in Wj
    independently and uniformly
  • Let qh be the number of nodes that select the
    same backoff slot h?Wi
  • qh is a Poisson random variable with parameter

9
Theoretical Analysis Events probability
  • Lets focus on events that may occur in slot h
  • qh 0 ? IDLE (I) ? No nodes transmit
  • qh gt 0 ? COLLISION (C)? A collision occurs
  • qh 1 ? BROADCAST (B) ? A node wins the
  • contention and gets the broadcast message to be
  • forwarded
  • nU average number of unsuccessful events before
    the completion of the procedure
  • TU average duration of an unsuccessful
    countdown step

Collision duration
Idle slot duration
10
Theoretical Analysis One-hop latency
  • Def One-hop latency ??
  • mean time before broadcast message is
    successfully forwarded to the next relay node

K TC / TI
11
Theoretical Analysis One-hop message progress
  • Onehop message progress, d average one-hop
    covered distance

Next Relay sector
Total number of sectors
Sector size (along the propagation direction)?
12
Theoretical Analysis Optimization
  • Optimize the Cost Function
  • One-hop delay/success probability

COST FUNCTION
Single solution in 1/K, 1
13
Validation of the theoretical analysis
Impact of CW setting on per-hop latency (Ns 10)?
Setting cwcwopt(?) ?? we interpolate the minima
of curves obtained with fixed cw
14
Analytical Model versus Simulations
Average onehop progress d
Average propagation speed v
??, cw cwopt(?)?
  • Good matching between analytical model
    simulations
  • High node densities assure maximum progress

15
Protocols comparison
SB vs MCDS-based, GeRaF and UMB
  • SB propagation speed is almost constant when
    varying the node density
  • SB may lead to slightly lower advancement than
    other schemes
  • (SB balances both the message progress and the
    latency)?

16
Conclusions
  • Smart Broadcast provides good performance in
    message dissemination along mono-dimensional
    networks of vehicles
  • Analytical model permits in-depth analysis and
    optimization
  • Future work
  • Consider contention with other broadcast flows
  • Include more realistic radio channel model

17
References
  • 1 D. Cottingham, Research Directions on
    Inter-vehicle Communication, http//www.cl.cam.ac
    .uk/users/dnc25/references.html, Dec. 2004.
  • 2 M. Rudack, M. Meincke, K. Jobmann, and M.
    Lott, On traffic dynamical aspects intervehicle
    communication (IVC), in 57th IEEE Semiannual
    Vehicular Technology Conference (VTC03 Spring),
    Jeju, South Korea, Apr. 2003, http//portal.acm.or
    g/citation.cfm?id778434.
  • 3 Fasolo, E. and Furiato, R. and Zanella, A.,
    Smart Broadcast for intervheicular
    communications, in Proc. of WPMC05, Sep. 2005.
  • 4 Zanella, A. and Pierobon, G. and Merlin, S.,
    On the limiting performance of broadcast
    algorithms over unidimensional ad-hoc radio
    networks, in Proceedings of WPMC04, Abano Terme,
    Padova, Sep. 2004.
  • 5 Korkmaz, G. and Ekici, E. and O zguner, F.
    and O zguner, U ., Urban multi-hop broadcast
    protocol for intervehicle communication
    systems, in Proc. of the first ACM workshop on
    Vehicular ad hoc networks , 2004.
  • 6 M. Zorzi and R. Rao, Geographic Random
    Forwarding (GeRaF) for ad hoc and sensor
    networks energy and latency performance, IEEE
    Transaction on Mobile Computing, vol. 2, no. 4,
    Oct.Dec. 2003.
  • 7 B. Williams and T. Camp, Comparison of
    broadcasting techniques for mobile ad hoc
    networks, in MOBIHOC, 2002.
  • 8 K.M. Alzoubi and P.J. Wan and O. Frieder,
    New distributed algorithm for connected
    dominating set in wireless ad hoc networks, in
    Proc. Of 35th Hawaii Intl Conf. on System
    Sciences (HICSS-35), Jan. 2002.
  • 9 P.J. Wan and K. Alzoubi and O. Frieder,
    Distributed construction of connected dominating
    set in wireless ad hoc networks, in Proc. of
    IEEE INFOCOM2002, June 2002.
  • 10 S. Giordano and I. Stojmenovic, Position
    based routing algorithms for ad hoc networks a
    taxonomy. Kluwer, 2004, pp. 103136.
  • 11 I. Stojmenovic, Position-based routing in
    ad hoc networks, IEEE Communications Magazine,
    vol. 40, no. 7, pp. 128134, July 2002.

18
An Effective Broadcast Scheme for Alert Message
Propagationin Vehicular Ad Hoc Networks
E. Fasolo, A. Zanella and M. Zorzi
Department of Information Engineering University
of Padovafasoloel, zanella, zorzi_at_dei.unipd.it
Speaker Stefano Tomasin
June, 14th 2006.
19
Spare Slides
20
Inter-vehicular networks (IVNs)?
  • Applications and services
  • Emergency notification
  • Cooperative driving assistance
  • Car to car audio/video communications
  • Internet access
  • Traffic control
  • Topical features
  • No energy constraints
  • High mobility
  • Availability of timing and localization
    information
  • Main Issues
  • New paradigm (physical, MAC, routing layer
    solutions)?
  • New broadcast propagation mechanisms
  • Efficient
  • Reliable
  • Low latency

21
The Broadcast Storm Problem
  • Flooding
  • High Data Redundancy
  • Collision Problem
  • MCDS-based algorithms
  • Minimize the retransmitting node number
  • Solve the collision problem
  • Not feasible in high dynamic networks

22
Broadcast Protocol Overview
  • Probabilistic Schemes
  • Not solve collision and redundancy problem
  • Neighbor-based Schemes
  • Require control traffic, depend on the network
    topology
  • Topology-based Schemes
  • More efficient but require a complete topology
    knowledge (not feasible for high dynamic
    networks)?
  • Cluster-based Schemes
  • High cost to maintain clustering structure in
    mobile networks
  • Position-based Schemes
  • Flat, not require control traffic
  • Urban Multi-hop Protocol (UMBP)?

23
Some theoretical observations
  • The time wasted during the re-broadcast procedure
    depends on
  • The collision probability
  • The probability that the furthest sub-areas are
    empty
  • Fixed Ns, for each node density, there is an
    optimum contention window size such that
  • The time wasted on re-broadcast procedure is
    minimized


24
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25
Theoretical Analysis One-hop message progress
  • Onehop message progress, d average one-hop
    covered distance
  • We only need to determine the statistic of J
  • We evaluate the conditioned probability that s
    h, given that s in W ? Ps(h)?
  • And we use Ps(h) to evaluate Pj(r) and the the
    mean value of J
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