Broadcast Scheduling in Interference Environment.ppt - Copy

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    .WELCOME.WELCOME

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    CIENCEND TECHNOLOGYathupally

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    TECHNICAL

    SEMINAR

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    BroadcastScheduling in

    Interference Environment

    resented By.Uday simha07C61A0530&Department of Computer Science &Department of Computer Science

    EngineeEnginee

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    Abstract

    Broadcast is a fundamental operation in, wireless networks and na ve flooding is not

    ,practical because it cannot dealwith.interference

    Scheduling is a good way of avoiding

    ,interference but previous studies on broadcastscheduling algorithms allassume highlytheoretical models such as the unit disk graph

    .model ,In this work we reinvestigate this problem by

    -using the 2 Disk- - - - -and the signal to interference plus noise ratio

    ( ) .SINR models

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    CONTENTS Introduction

    Related Work

    Interference Models,Assumptions,And

    Problem Definition Tessellation of Hexagons

    Braodcast Scheduling Algorithms

    Analysis Simulation Results

    Conclusion

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    INTRODUCTION

    Braodcast is probably the most fundamental yetChallenging operation among all operations ofwireless ad

    .Hoc networks

    [ ]The broadcast storm problem 26 tells us

    ,that na ve flooding is simply not practical,because it causes severe contention

    , .collision and congestion

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    RELATED WORK

    Broadcast was studied extensively in theliterature.They also designed a centralized

    distributed broadcast algorithm

    -Minimum latency broadcast schedule hasbeen extensively studied in the

    literature

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    , ,INTERFERENCE MODELS ASSUMPTIONS

    ANDPROBLEM DEFINITION

    ,In this section we introduce two,interference models

    , - .namely the 2 Disk and SINR models -The descriptions of the 2 Disk model are

    :given as follows A wireless network ismodeled as a set of nodes V arbitrarily

    .located in a 2D euclidean space

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    TESSELLATION OF HEXAGONS

    A tessellation of the entire plane is

    (a way of partitioning into equal or) .similar pieces

    . . ( ) - . ( ) -Fig 2 a Three coloring k 1 b Three

    .coloring filling up the plane

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    BROADCAST SCHEDULING ALGORITHM

    , -In this section we first look at the 2Disk model and design a broadcast

    scheduling algorithm of approximation ratio

    , .6d2 3 rI rT 2e2 which is a constant

    We consider the transmission graph GT ; .V ET generated by rT and V To define

    ,the broadcast schedule we first need toconstruct a virtual backbone as follows

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    . . ( ) - . ( )Fig 3 a Twelve coloring k 2 b.Twelve coloring filling up the plane

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    . . ( ) . ( ) . ( ) . ( )Fig 6 a GT s topology b Layered MIS c BFS tree d.Virtual backbone

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    ANALYSIS

    : ) We prove two assumptions 1 each node will receivesuccessfully before it is scheduled to transmit and

    ) , .2 in the end all nodes receive successfully ,Algorithm 3 begins with the source s transmission

    ,and since there is only one node transmitting there

    ,will be no collision .and all nodes of L1 will receive successfully ,Now we prove that all nodes of Li1 will receive

    . ,successfully from Li for all 1 i R 1 First weshow that all nodes of BLACKi1 will receive

    . .successfully from BLUEi This is straightforward

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    . . ( ) . ( ) ; .Fig 8 a Concentric disks at v b Annulus Ar1 r2

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    SIMULATION RESULTS

    Simulations have been performed in Matlab to

    evaluate .the latency of our proposed scheme ,In these simulations in nodes were distributed

    ,randomly into a square region of size X by Ywhere X and Y are normalized to the transmission

    .range rTThe transmission latency was then measuredafter our proposed scheme is employed.

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    . .Fig 10 Transmission latency for different numbers of.nodes k 3

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    CONCLUSION

    Many highly theoretical models were used inall previous

    .works on broadcast scheduling

    , ,Instead we have used two Surprisingly we have

    found that we can apply the same method to both- .models and obtain low latency schedules

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    . . .HANK YOU