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Efficient Broadcasting and Gathering in Wireless AdHoc Networks

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Title: Efficient Broadcasting and Gathering in Wireless AdHoc Networks


1
Efficient Broadcasting and Gathering in Wireless
Ad-Hoc Networks
Melih Onus (ASU) Kishore Kothapalli (JHU) Andrea
Richa (ASU) Christian Scheideler (JHU)
2005 International Symposium on Parallel
Architectures, Algorithms and Networks, Las Vegas
Nevada
2
Ad-Hoc Networks
  • Mobile devices communicating via radio
  • Network without centralized control
  • Broadcasting Sending a packet from a source node
    to all nodes in the network
  • Gathering Sending one packet from a subset of
    nodes to a single sink node in the network

3
Our Results
  • Near optimal algorithms for broadcasting and
    information gathering (time and work)
  • A realistic wireless communication model which
    takes into account
  • Different transmission interference ranges
  • Non-uniformity of signal propagation of real
    antennas
  • Physical carrier sensing

4
Communication Models
Unit Disk Graph (UDG) Disk shaped transmission
area
v
w
u
R
Packet Radio Network (PRN) Transmission Range
Interference Range
5
Communication model
  • Transmission range, interference area via cost
    function c

Cost Function c(u,v) ? (1- ?)d(u,v), (1
?)d(u,v)
d(u,v) is Euclidean distance ? ? 0,1), depends
on the environment
  • For a given transmission range rt, transmission
    area of v is
  • u?V c(v,u) ? rt
  • For given interference range ri, interference
    area of v is
  • u?V c(v,u) ? ri

6
Communication model (cont.)
rt Transmission range ri Interference range
  • If c(v,w) ri, node w can cause interference
    at node v.
  • If c(v,u) rt then v is guaranteed to receive
    the message from u provided no other node w with
    c(v, w) ri also transmits at the same time.

7
Physical Carrier Sensing
rst(T) Carrier sense transmission (CST) range
rst(T)
rsi(T) Carrier sense interference (CSI) range
  • These ranges grow monotonically in both the
    sensing threshold T and the transmission power.

14
8
Constant density spanner
Active node
Inactive node
Gateway node
Gateway edge
Other edges
  • Constant density spanner Given a graph G find a
    sparse subgraph G of G such that distance
    between any two nodes in G is less than a
    constant factor of original distance.

9
Constant density spanner (cont.)
Active node
Inactive node
Gateway node
Gateway edge
Other edges
  • Active nodes form a maximal independent set
  • Gateway nodes connect active nodes which are
    within 2 or 3 hops from each other

10
Motivation
  • Previously proposed broadcasting and gathering
    algorithms will not work for the communication
    model that we have considered.

11
Isolated Broadcasting
Active node
Inactive node
s
u
Gateway node
v
( )
(( ))
((( )))
Gateway edge
Other edges
  • Firstly, node s sends out the broadcast message.

12
Isolated Broadcasting (cont.)
  • If u is a gateway node and has already received
    the message, it sends out an RTS signal with
    probability p.

s
u
v
CTS
message
RTS
  • If v is an active node or a gateway node and v
    has not received the broadcast message yet, then
    v checks if it correctly received an RTS signal.
    If so, v sends out a CTS signal.
  • If v is a gateway node and sent out a RTS signal,
    then v checks if it received a CTS signal. If so,
    v sends out the broadcast message.

13
Isolated Broadcasting (cont.)
Active node
Inactive node
s
u
Gateway node
v
(( ))
((( )))
( )
Gateway edge
Other edges
  • If node v
  • is an active node
  • received the broadcast message in the previous
    round
  • it is the first time it received the broadcast
    message
  • Then, it sends out the broadcast message.

14
Our Results
  • D(s) diameter with respect to s
  • W(s) minimum work for broadcast
  • The broadcast algorithm needs O(D(s)log n)
    rounds, with high probability, to deliver the
    broadcast messages to all nodes.
  • The broadcast algorithm needs O(W(s)) work
  • Extendable to multiple broadcasts

15
Information Gathering
  • Stage I Building Gathering Tree T(s)
  • Stage II Gathering on Tree T(s)

16
Building Gathering Tree T(s)
  • We select a shortest path tree rooted at s on the
    spanner graph by running a modified Bellman-Ford
    type algorithm that takes into account message
    interference.
  • In order to show that this RTS/CTS scheme works
    efficiently, it is crucial to note that the
    spanner is of constant density Hence a constant
    number of RTS/CTS handshakes are enough to
    guarantee the successful delivery of a message
    w.h.p..

17
Building Gathering Tree T(s) (cont.)
Firstly, node s sends out the route message.
s
u
v
CTS
(( ))
((( )))
( )
lt1gt
lt0gt
RTS
route m.
lt2gt
  • If the shortest path estimate d'(s,u) is not
    infinite and u needs to broadcast the latest
    update on d(s,u), then u sends a RTS signal with
    probability p
  • If v received an RTS signal then v sends a CTS
    signal.
  • If u received a CTS signal, u sends out the
    route message.

18
Building Gathering Tree T(s) (cont.)
lt6gt
lt7gt
lt4gt
lt5gt
s
u
lt3gt
v
lt1gt
lt6gt
lt0gt
lt5gt
lt2gt
lt4gt
lt3gt
  • Each node u has a label which is the shortest
    path distance to sink node.
  • Each node u has a parent node which is the node
    that node u received the route message

19
Gathering on Tree T(s) (Inactive Nodes)
Active node
Inactive node
s
Gateway node
v
Gateway edge
Other edges
I-RTS
w
Inactive nodes have a state asleep, awake
If w is inactive and has a packet to send and w
is awake then w sends a I-RTS signal to its
parent with a probability 1/2.
20
Gathering on Tree T(s) (Inactive Nodes)
Active node
Inactive node
s
Gateway node
v
Gateway edge
Other edges
I-RTS
w
  • If v is active
  • v receives an I-RTS signal, send an I-CTS signal
  • v senses a busy channel, send a collision
    message
  • v senses a free channel, send a free message

21
Gathering on Tree T(s) (Inactive Nodes)
Active node
Inactive node
s
Gateway node
v
Gateway edge
Other edges
w
  • If w is inactive
  • w receives an I-CTS signal, send the packet
  • w receives a collision message, become asleep
    with p1/2
  • w receives a free message, become awake

22
Gathering on Tree T(s) (Active Nodes)
Active node
Inactive node
s
u
Gateway node
v
Gateway edge
message
Other edges
If v is active and has a message to send, then v
sends the message to its parent.
23
Gathering on Tree T(s) (Gateway Nodes)
Active node
Inactive node
s
u
RTS
Gateway node
message
v
Gateway edge
CTS
Other edges
  • If u is a gateway node and has a non-empty queue
    then u sends an RTS message containing the id of
    its parent with probability p.
  • If an active node receives an RTS message
    containing its id, it sends a CTS message.
  • If u receives a CTS message from its parent, then
    u sends the message to its parent.

24
Our Results
  • ? maximum density of inactive nodes
  • m number of messages
  • W(s) the optimal work
  • A gathering tree T(s) with sink node s, the
    information gathering algorithm presented above
    needs O(m?(logn)(log?)D(s)logn) time steps
    w.h.p..
  • Once a stable gathering tree has been
    constructed, the gathering protocol described
    above needs O(W(s)) work

25
Conclusions and Future work
  • Algorithms for broadcasting and information
    gathering on a realistic model for wireless
    communication
  • Node mobility and node faults
  • Anycasting and multicasting
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