Interaction Between Hidden Node Collisions and Congestions in Multihop AdHoc Networks - PowerPoint PPT Presentation

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Interaction Between Hidden Node Collisions and Congestions in Multihop AdHoc Networks

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Poisson l ... Poisson l. i. Related work: Collision probability: Ray et al. 2005 ... Poisson l. l' Only 1 collision case: A-D simultaneously transmitting ... – PowerPoint PPT presentation

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Title: Interaction Between Hidden Node Collisions and Congestions in Multihop AdHoc Networks


1
Interaction Between Hidden Node Collisions and
Congestions in Multihop Ad-Hoc Networks
  • Hicham KHALIFE Naceur MALOUCH
  • Université Pierre et Marie Curie - LIP6
  • FRANCE
  • IEEE ICC06

2
IEEE 802.11 (reminder)
Virtual Carrier Sensing
RTS
1
DATA
S
R
CTS
ACK
The IEEE 802.11 DCF uses the 4 way
handshake RTS/CTS/DATA/ACK
3
Motivation and Objectives
  • Two types of losses in wireless Ad Hoc Networks
    Congestion Collision losses
  • Analyze and investigate the effect of each loss
    type and their interaction
  • Approach
  • 1- Understand
  • 2- Model
  • 3- Quantify
  • 4- React

Cs transmission range
Contribution
E
D
B
C
Congestion
Collision at Node B
Ds interference range
4
Packet Loss in IEEE 802.11
RTS X 7 Loss
1
DATA X 4 Loss
S
R
CTS
ACK
  • Packet discarded at the source Mac layer
  • If
  • RTS retries exceed the Long Retry Threshold
    (7 default value)
  • Or
  • DATA retries exceed the Short Retry Threshold
    (4 default value)
  • Separated by Backoffs

5
Packet Loss in a Chain Topology
Simplified Model If node D transmission will
take more than the time needed for the 7 RTS
retries at A, A will discard the packet
Poisson l
Poisson
C
D
E
B
6
Packet Loss Probability
Poisson l
  • Pr(Loss) Pr(Loss qD k) Pr(qD k)
  • Pr(Loss qD lt k) Pr(qD lt k)

k
D
A
E
B
C
1
Pr(Loss qD 0)
Pr(Loss 0 lt qD lt k)
qD Number of packets in D queue
C Link Capacity r Long retry threshold
7
Packet Loss Probability
Poisson l
k
i
D
A
E
B
C
  • If Node Ds queue is empty an arriving at A
    packet will be sent immediately

Pr(Loss qD 0) Pr(qD 0) x Pr(receiving at
least k packets during A transmission time
T(constant) )
  • If D is transmitting, A packets sent will
    collide , lost packet at A if k-i packets are
    received during T.i

Pr(Loss 0 lt qD lt k) ? Pr(qD i) x
Pr(receiving k i packets during the
transmission of the existing i)
8
Packet Loss Probability
Poisson l
k
i
D
A
E
B
C
  • The packet Loss Probability in a five nodes chain
    topology
  • Related work
  • Collision probability Ray et al. 2005
  • WLAN Bianchi 2000, Kumar et al. 2005,
    ElRakabawy et al 2005

9
Validation Through NS Simulation
(packets/s)
10
Model Extension
Poisson l
B
C
D
E
l
Only 1 collision case A-D simultaneously
transmitting Obtained packet loss
probability pf(l)
11
Model Extension
l
l
k
D
A
E
B
C
  • p f(l)?
  • p f1(l)
  • l f2(p, l?
  • A first approximation
  • p f1(l)
  • l (1 p)l???Upper bound)
  • Can be resolved with the fixed point theorem

12
Model Extension
p f(l)
p lt 1 l/l
(packets/s)
13
Discussion
  • Loss probability formula
  • Relation between loss probability, input rate
    and MAC output queue size
  • Taking advantage of the k value
  • Idea
  • Eliminating losses due to hidden node collisions.
  • How
  • Setting queue sizes to the value smaller than k

14
Interaction Between Collision and Congestion
Collision
Congestion
(packets/s)
Node
15
Conclusion and Ongoing Work
  • Loss probability formula in the five nodes chain
    topology
  • Solution to improve TCP throughput

Reducing buffer size increases performance
B
C
D
E
  • Future work
  • Extending the formula to limited queue sizes
  • General formula to generalized topologies

16
Thank You!Merci !
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