Robcast: A singlehop reliable broadcast protocol for WSNs - PowerPoint PPT Presentation

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Robcast: A singlehop reliable broadcast protocol for WSNs

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Safety (consistency) reasons: Sensor ... Our previous work on BEMA. BTMA ... BEMA. Synchronized rounds, leader is elected based on duration of BUSY signals ... – PowerPoint PPT presentation

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Title: Robcast: A singlehop reliable broadcast protocol for WSNs


1
Robcast A singlehop reliable broadcast protocol
for WSNs
  • Murat Demirbas
  • Srivats Balachandran
  • University at Buffalo, SUNY

2
Singlehop reliable(?) broadcast
  • Reliable broadcast is important
  • Safety (consistency) reasons Sensor/actuator
    devices coordinating regulator valves should take
    consistent decisions to prevent a malfunction
  • Performance (goodput) reasons Unreliable
    broadcast wastes the bandwidth
  • Hidden terminal problem may account for loss of
    50 of traffic
  • Hidden terminal problem occurs when two senders
    are not in range of each other (carrier sensing
    fails), but are in range of a common receiver

3
RTS-CTS achieves reliable unicast
  • Sender transmits a Request to Send (RTS)
  • Destination node replies with a Clear To Send
    (CTS)
  • Any other node receiving the CTS frame should
    refrain from sending data for a given time
    (solves hidden terminal)
  • RTS/CTS provides virtual carrier sensing

4
RTS-CTS fails for broadcast
  • Direct application sacrifices reliability
  • CTSs collide at the initiator making it
    impossible to know if all neighbors are ready to
    receive
  • CTS from any neighbor is used as sufficient for
    data transmission (BSMA)
  • Reliable application sacrifices efficiency
  • Individual RTS-CTS handshake is performed with
    each neighbor before data is transmitted (BMMM)

5
Our contribution Robcast
  • Robcast addresses the singlehop broadcast problem
    both efficiently and reliably
  • Robcast uses bandwidth efficiently
  • Bandwidth is not statically allocated among nodes
    as in TDMA
  • Robcast is an on-demand access protocol, nodes
    contend for the channel
  • Robcast is useful for standardization efforts in
    WSNs
  • SP focuses on singlehop broadcast as narrow-waist
    for standardization
  • Two main ideas are
  • Collision detection at the receiver-side is
    employed for feedback collection
  • Although positive feedback do not compose,
    negative feedback compose

6
Receiver-side collision detection (RCD)
  • Carrier sensing at the transmitter-side is
    impossible
  • Carrier sensing at the receiver-side is feasible
    and is widely used for CSMA
  • RCD is achievable using the same basic techniques
    as CSMA
  • Channel activity can be differentiated from noise

7
RCD using CC2420 radio
  • Received Signal Strength Indicator (RSSI) based
    collision detection
  • requires additional processing on the processor,
    unreliable
  • Cyclic Redundancy Check (CRC) based collision
    detection
  • reliable, but only works when preamble and packet
    frame are received
  • Clear Channel Assessment (CCA) based collision
    detection
  • can detect collisions even when the preambles are
    not detected
  • CCA signal is generated only after a transmission
    is scheduled to the radio, so we manipulate the
    radio to perform CCA also in the idle state

8
Robcast protocol
  • Nodes are synchronized to maintain rounds with 3
    phases
  • This structure facilitates RCD-based feedback
    collection by providing context
  • A collision at the RTS phase means multiple
    initiators are trying to transmit
  • A collision at the NCTS phase means multiple
    nodes are reporting conflicts
  • Robcast avoids any collisions in the DATA phase
  • Positive feedback (CTS) do not compose, yet
    negative feedback (NCTS) do compose nicely

j
RTS
NCTS
DATA
k
l
9
Robcast protocol
  • INITIATOR
  • Bcast (RTS)
  • Listen for NCTS or collision
  • If no NCTS or collision
  • Bcast (DATA)
  • Else backoff for some rounds
  • RECEIVERS
  • Listen for RTS or collision
  • If collision Bcast(NCTS)
  • Listen for DATA if any

RTS
NCTS
DATA
10
Robcast protocol
  • Scenario 1 success
  • Scenario 2 deferral

A
C
B
A
C
B
Phase DATA
Phase NCTS
11
Extensions
  • Reducing idle listening
  • Sleep through the rest of the round if no
    activity is scheduled
  • Data phase may account for around 90 of the
    total time
  • Multiple round-length packets
  • Explained in the paper

12
Our previous work on BEMA
  • BTMA
  • Use a control channel for signaling busy for
    ongoing transmissions
  • Separate radio infeasible for WSNs
  • BEMA
  • Synchronized rounds, leader is elected based on
    duration of BUSY signals
  • Double power transmissions during CONTROL phase
  • Locked nodes always transmit BUSY signals
  • Requires a more finer-granularity RCD
  • Eliminates hidden terminals
  • DATA collisions still occur due to equal length
    of BUSY signal
  • Susceptible to obstacle arrangements

13
Simulations
  • Prowler
  • A MATLAB-based, event driven simulator for WSNs
  • Simulates a Rician fading model
  • Setup
  • 5x5 grid of motes
  • With varying number of nodes transmitting data

14
Goodput
Goodput data/ settling time
15
Loss of messages
16
Energy consumption
17
Concluding remarks
  • Reliable broadcast is significant for many
    applications
  • Robcast achieves lightweight reliable broadcast
    assuming synchronized rounds
  • RCD is used for singlehop collaborative feedback
    collection
  • Future work is to investigate synchronization
    free solutions to reliable broadcast

18
www.cse.buffalo.edu/demirbas
19
Our ongoing workLightweight singlehop
collaboration
  • The idea is to use receiver-side collision
    detection (RCD) for lightweight singlehop
    collaborative feedback
  • Applications in filtering false-positives, leader
    election, clustering, etc
  • Pollcast Does P hold for the neighborhood?
  • Nodes where P holds answer simultaneously
  • Initiator uses RCD to detect whether there are
    answers
  • Initiator can followup with a broadcast

20
Generalization to counting
  • Initiator uses pollcasts to approximate of
    nodes P holds
  • Each node has a 0.5 probability of voting at each
    round they only vote once in their lifetime
  • Expected number of voters is halved in each round
  • Expected number of such rounds for n nodes is
    logn
  • Bayesian inference is useful for categorizing the
    result
  • Applications in in-network classification of
    intruders soldier, car, tank

21
Assurance ?
  • poll vote is enough for best-effort primitives,
    but how do we achieve reliable (or eventually
    reliable) primitives
  • in the absence of synchronization, how do we
    decide whether poll is heard by all nodes in the
    neighborhood ?
  • poll veto vote approach where a veto is sent
    following any RCD leads to veto storms
  • channel reservation based approaches may be
    useful for reliability
  • Or, is it better to use the lightweight primitive
    and build assurance on top of this primitive ?
  • if you stand back fast enough, no one notices you
    fell down
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