Reliable Multisource multicast routing protocol over manet

RELIABLE MULTISOURCE MULTICAST ROUTING PROTOCOL OVER MANET

Speaker: Wu, Chun-Ting Advisor: Ke, Kai-Wei

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Outline1. Introduction2. Efficient Expanding Ring Search (ERS)3. Mobility Prediction (MP)4. Virtual Mesh (VM)5. Bidirectional multicast data delivery

(BMD)6. Numerical Results7. Future works & Conclusions

3

1. Introduction My Research – Reliable Multisource

Multicast Routing Protocol (RMMRP) Motivation

Improve the efficiency of Multisource multicast over MANET

Objective Reduce control overhead More stable topology Fast recovery

4

MAODV Review Data Delivery Process

Unicast Multicast

Group Managements Join Leave Repair Merge

5

Unicast Delivery

Source

Destination

RREQSource

DestinationRREP

Source

Destination

Data

6

Multicast Delivery

Leader Source Leader Source

Source broadcast RREQsto find the group leader

7

Multicast Delivery


The data passed to Leader and flooded to the tree

Leader respond a RREP

8

Join

Group Leader

member

router

join node

Broadcast Join RREQ across network

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Join

Group Leader

member

router

join node

Members respond with RREPs

10

Join

Group Leader

member

router

join node

Send a MACT back

11

Join

Group Leader

member

router

join node

Become a member

12

Leave

Group Leader

member

router

leaving node

Send a MACT to Parent

13

Leave

Group Leader

member

router

leaving node

Leave the group

14

Repair Link breakage

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Merge Partition Group Leader 1

Group Leader 2

MGL1Group Hello

RREQ

(1)

RREP

(2)

RREQ (3)

RREQ (4)

RREP (5)

RREP (6)

RREQ/RREP Message

Group Hello Message

MGL2

Group LeaderGroup Member

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Proposed RMMRP

Methodology Apply ERS to reduce RREQ overhead Modify MP to reduce recovery frequency Propose VM to speed up topology recovery Propose BMD to support fast multicast data delivery

• Join• Repair

RREQ

• Reply• Permission

RREP

• Establish• Prune

MACT

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2. Efficient Expanding Ring Search (ERS) – 1

Expanding Ring Search [8]

Motivation Reduce RREQ

overhead Objective

Power-saving Avoid channel

contentions as possible

TTL concept applied

S

D

S

D

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ERS – 2 Efficient Expanding Ring Search [11]

Collect local topology information Reduce the overhead of pure flooding

E

B

A

C

DE

B

A

C

D

Relay: falsePredAddr: A

Relay: falsePredAddr:



Relay: falsePredAddr:


Relay: truePredAddr:



Relay: falsePredAddr: B

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ERS – 3

E

B

A

C

D

E

B

A

C

D



Relay: truePredAddr: A








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ERS – 4 A → B → D

E

B

A

C

D






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3. Mobility Prediction (MP) Motivation

Establish a stable routing path Objective

Cluster concept Reduce possibility of repairing

GPS supported

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Link Expiration Time

A (Xa, Ya) B (Xb, Yb)

Ta Tb

VaVb

ba

bbaa

ba

bbaa

ab

YYsTVTVr

XXqTVTVp

whererp

qrpsTxrprspqLET

sinsin

coscos

,)()()(

22

2222

Mobility Prediction Example23

LET: Link Expiration Time The amount of time that a

certain link will remain connected

RET: Route Expiry Time The minimum of the LET

values of all links on a path

Two paths A-B-C-D

RET=8 A-E-D

RET=1 Select path with larger RET

A

DC

EB

9

8

9

2

1

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Join Procedure (modified for stable)

MAODV RREP: <R_Flag,

U_Flag, Dest_Addr, Dest_Seq, Hop_Cnt, Lifetime, Mgroup_Hop, Group_Leader_Addr>

Mgroup_Hop indicates the distance of the tree

Lifetime is a constant

RMMRP RREP: <R_Flag,

U_Flag, Dest_Addr, Dest_Seq, Hop_Cnt, Lifetime, Group_Leader_Addr>

Lifetime means the expiration time of the path from tree

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Join Procedure (modified for topology stability)

Group Leader

Members respond with RREPs including the LET

Group Leader

member

router

join node

Join node send a MACT along the longest RET path

5

7 5

25

3

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Root Recovery

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Root Recovery rte_discovery_tim

eout = 1 sec rreq_retries = 2

times MAODV’s root

recovery takes at least 3 sec on waiting

Merging several partitions takes lots of time as well

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4. Virtual Mesh (VM)

Group HelloCandidate Leader: MC

Current Leader

MA MC MB

Multicast Tree LinkMesh Link

Sub-tree Sub-tree Sub-tree

Group LeaderGroup Member

Candidate LeaderMC MA

RREQ

(1)

RREQ/RREP Message

MBRR

EP (4)

RREQ (1)

RREP (2)

RREQ (1)

RREP (2)

Group Leader Group Member

RREQ (2)RREP (3)

Network Node

RREQ (1)

RREP (2)

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VM Example 1

12 3

12 3

1

2

3

Group Leader

Candidate Leader

New partition leader

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VM Example 2 – 1

AB C

Group Hello: Candidate=ACurrent Leader

CandidateA

D E

B

CF

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VM Example 2 – 2

A

D E

B

CFMACT_GL A

D

E

B

CF

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5. Bidirectional multicast data delivery

Multicast Reverse Path Forwarding

Degree↑Delay↓

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Bidirectional multicast data delivery


Members respond RREPs back to Source

Source broadcast RREQsto find the group member

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Bidirectional multicast data delivery

Leader Source

Source first send the data to that member, andthe member deliver data by RPF

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Benefits

More stable tree topology Reduce the control overhead Fast root recovery

ERS

MP

VM

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6. Numerical Results

Parameter ValueSimulation time 300sPlay ground 1000*1000m2

Nodes (network size) 10, 20, 30, 40, 50MAC 802.11Bit-rate 2 MbpsTx power 100mWJoin interval Poisson(10s)Leave interval Poisson(20s)Unicast data interval Poisson(5s)Multicast data interval Poisson(10s)Leader die interval Poisson(30s)Mobility model Random way pointMove speed Uniform[0, 5mps]

Simulation Environments

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Repair Frequency (RMMRP vs. MMAODV)

10 20 30 40 500

50

100

150

200

250

300

RMMRPMMAODV

節點個數

修復次數

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Control Overhead (RMMRP vs. MMAODV)

10 20 30 40 500

1000

2000

3000

4000

5000

6000

7000

8000

RMMRP_RREQRMMRP_RREPRMMRP_MACTMMAODV_RREQMMAODV_RREPMMAODV_MACT

節點個數

控制封包量

39

Control Overhead (RMMRP vs. MMAODV+ERS)

10 20 30 40 500

1000

2000

3000

4000

5000

6000

7000

8000

RMMRP_RREQRMMRP_RREPRMMRP_MACTMMAODV+ERS_RREQMMAODV+ERS_RREPMMAODV+ERS_MACT

節點個數

控制封包量

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Control Overhead

10 20 30 40 500

2000

4000

6000

8000

10000

12000

14000

16000

RMMRPMMAODV+ERS+MPMMAODV+ERSMMAODV

節點個數

控制封包量

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Delivery Ratio (RMMRP vs. MMAODV)

10 20 30 40 500

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

RMMRP_UnicastRMMRP_MulticastMMAODV_UnicastMMAODV_Multicast

節點個數

傳送成功率

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Delivery Ratio (RMMRP vs. MMAODV+ERS)

10 20 30 40 500

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

RMMRP_UnicastRMMRP_MulticastMMAODV+ERS_UnicastMMAODV+ERS_Multicast

節點個數

傳送成功率

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Pure Multicast

10 20 30 40 500

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

RMMRPMMAODV+ERS+MPMMAODV+ERSMMAODV

節點個數

傳送成功率

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Pure Multicast (RMMRP vs. MMAODV)

10 20 30 40 500

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

RMMRP_10sRMMRP_2sRMMRP_0.4sMMAODV_10sMMAODV_2sMMAODV_0.4s

節點個數

傳送成功率

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Speed (RMMRP vs. MMAODV)

0-5 5-10 10-15 15-200

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

RMMRP_UnicastRMMRP_MulticastMMAODV_UnicastMMAODV_Multicast

移動速率 Uniform(a, b) (m/s)

傳送成功率

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Mobility model (RMMRP vs. MMAODV)

10 20 30 40 500

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

RMMRP_RWPRMMRP_MassRMMRP_BaseMMAODV_RWPMMAODV_MassMMAODV_Base

節點個數

傳送成功率

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7. Conclusions and future works

Modified core-based tree structure by Virtual mesh Bidirectional multicast data delivery

Proposed a reliable multisource multicast with Fast recovery Low control overhead Higher delivery ratio

Verified the performance through intensive simulations

Conclusions

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Future Works Improve delivery ratio

Cross-layered design (e.g. Network layer with MAC)

Other wireless medium

More performance metric End-to-end delay QoS

Q & AThanks for your attention

Reference Royer, E.M. and Perkins, “Multicast operation of the

ad-hoc on-demand distance vector routing protocol,” Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking ACM, 1999, pp. 207-218

Pham, N.D. and Choo, H., “Energy ERS for Route Discovery in MANETs,” Communications, 2008. ICC '08. IEEE International Conference on 2008, pp. 3002-3006

William Su, Sung-Ju L., and Mario Gerla, “Mobility Prediction In Wireless Networks,” MILCOM 2000. 21st Century Military Communications Conference Proceedings, 22-25 Oct. 2000, pp. 491-495, vol.1

Reliable Multisource multicast routing protocol over manet

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