xin wang assistant professor director, wireless and networking systems lab (wins) suny, buffalo

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Scalable Geographic Routing for Mobile Ad-hoc Networks (Joint work with Xiaojing Xiang and Zehua Zhou) Xin Wang Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo http://www.cse.buffalo.edu/~xwang8

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Scalable Geographic Routing for Mobile Ad-hoc Networks ( Joint work with Xiaojing Xiang and Zehua Zhou). Xin Wang Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo http://www.cse.buffalo.edu/~xwang8. 4G Radios. 4G Air Interface. - PowerPoint PPT Presentation

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Page 1: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Scalable Geographic Routing for Mobile Ad-hoc Networks

(Joint work with Xiaojing Xiang and Zehua Zhou)

Xin Wang Assistant Professor

Director, Wireless and Networking Systems Lab (WINS)SUNY, Buffalo

http://www.cse.buffalo.edu/~xwang8

Page 2: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Future -Common Network, Common Applications

Core InternetBackbone

AuthenticationAuthentication

PresencePresenceLocationLocation

AggregationRouter

AggregationRouter

AggregationRouter

AggregationRouter

AggregationRouter

AggregationRouter

AccessRouterAccessRouter

AccessRouterAccessRouter

3G CellularNetworks

RadioController

RadioController Access

RouterAccessRouter

UrbanNetworks

HomeNetworks

EnterpriseNetworks

4GRadios

Ad HocNetworks

4G AirInterface

4GRadios

• DSL/Cable• Community wireless networks

• Broadband Distribution Networks• High Speed Pico Cells• Broadband Wireless

• 802.11++• Local Mobility• Packet Voice• High Data Rates

• Outdoor Areas• High Mobility

• Allow Peer-to-Peer Communications• Self Configuring

Page 3: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Talk Overview

Background and motivationPart I: Self-adaptive geographic unicast

routingPart II: Scalable geographic multicast

routingOn-going and future work

Page 4: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Background

Mobile Ad Hoc Networks (MANET)– Self organized networks with no fixed infrastructure – Example applications: disaster area, military, sensor

networks, wireless mesh networks – May need to traverse many hops due to limited radio

range

Routing: find a packet delivery path– Unicast: one-to-one– Multicast: one-to-many

or many–to-many

Page 5: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Challenges of MANET Routing

Host mobility leads to dynamic topologyRate of link failure/repair increases with

moving speed Topology and routing path maintenance

become more difficult with the increase of path length and node density

Mobile devices have very limited energy, and small devices such as sensors have very limited per-node resources

Page 6: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Existing Unicast Routing Protocols

Proactive protocols (DSDV, OLSR)– Maintain routes continuously, large overhead when

there is no traffic– Actively track network topology changes, not suitable

for high mobility

Geographic routing protocols (GPSR, GFG) – Make use of location information to reduce routing overhead– Only need to be aware of local topology

Reactive protocols (DSR, AODV, TORA, FLR)– Maintain routes only if needed– May need network-wide flooding to discover routes, larger

delay due to searching for path before sending packet

Hybrid protocols (ZRP, SHARP) – Combine the proactive and reactive approaches

Page 7: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Information Required for Geographic Routing

The position of the destination: determined through location service

A node’s own position: obtained through positioning service such as GPS

The positions of all neighbors: learned through periodic beacons sent by neighbors

Page 8: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Forwarding Formats

Greedy forwarding– Make local optimal forwarding

decision, choose the neighbor closest to the destination as next hop.

D

x

x

D

Perimeter forwarding (GPSR)– Calculate a planar sub-graph

(no crossed-edges exist) from the local topology

– Route around the perimeter of void area (that does not have neighbor closer to the destination) until greedy forwarding can be resumed

Page 9: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Problems with Classical Geographic Routing

Proactive fixed-interval beaconing for positions– Generate unnecessary overhead and consume energy – Create collisions with normal data transmissions

Beaconing interval affects accuracy of the local topology and routing performance– Outdated topology => non-optimal routing, transmission

failures => more network resource consumption

Continuous retransmissions due to inaccurate position – Reduce link throughput and fairness, and increase

collisions => further delay and energy consumption

Page 10: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Possible Performance Improvement

Change Beacon Sending Interval– Send out beacons only after moving a certain distance– Send beacons more frequently, e.g. piggyback position

with packets (Are the sending nodes the best next hop? )

Does not consider traffic conditions.May generate unnecessary beacons.

Do not use Beacons (CBF’03, BLR’04) – Focus only on finding the next hop for greedy

forwarding, and there is no recovery strategy– Do not have a good strategy to cache the path

detected or perform any route optimization.

Page 11: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Talk Overview

Background and motivationPart I: Self-adaptive geographic unicast

routingPart II: Scalable geographic multicast

routingOn-going and future work

Page 12: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Our Contributions

Propose two self-adaptive routing protocolsBIGR: Beaconless Interactive Geographic Routing BTGR: Beacon-on-Trigger Geographic Routing

– On demand: alleviate unnecessary overhead due to proactive beacons

– More flexible position distribution: more updated topology, more efficient routing and less failure

– Self adaptive: adaptive to traffic pattern and robust to topology changes

Page 13: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Importance of updated positions: some analysis Positions obtained may become outdated

– A mobile may move out of transmission range before the position is timed out and removed from neighbor table.

Analysis – assumptions– Node B sends beacons periodically to refresh

its position at A– Neighbor area of A: centered at A, within

transmission range R

– Moving area of B: centered at B, within

maximum distance r Neighbor time-out interval t

B’s speed relative to A

Current distance between A, B

Maximum distance traveled by B after t

],0[ maxVv],0[ Rz

tVr max

RA B

rz

Page 14: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Different Scenarios

RA B

rz

RA

rz

Rr

RAB

rz

RA

rz

],0[ rRz ],[ 22 rRrRz ],[ 22 RrRz

AC

BC

],0[ Rrz ],[ 22 RrRrz ],[ 22 RRrz RrR 2

A

r

z BR R

Ar

z B

Rr 2 Same as this case

Page 15: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Probability of Moving Out of Range

R

R

rR

R

R

rR

dzr

dzrRzrRzRzr

dzr

dzRz

zrRR

rzzrR

rratioE

0

2

444222222

0

2

2222

2222

2225.0

)2

arccos2

arccos()(

RrR 2

Case 1:

Case 2:

R

R

Rr

R

R

Rr

R

Rr

dzr

dzrRzrRzRzr

dzr

dzRz

zrRR

rzzrR

r

dzr

dzRrratioE

0

2

444222222

0

2

2222

2222

0

2

0

22

2225.0

)2

arccos2

arccos()()(

Case 3:

Rr

Rr 2 2

2

1)(r

RratioE

Page 16: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Probability of the mobile moving out-of-range (expressed in percentages)

Vmax

4s 6s 8s 10s 12s 14s

10m/s 3.57 5.49 7.51 9.64 11.88 14.27

20m/s 7.51 11.88 16.80 22.43 29.19 38.26

30m/s 11.88 19.51 29.19 42.94 55.38 65.24

40m/s 16.80 29.14 47.37 62.22 72.89 80.07

50m/s 22.43 42.94 62.22 75.00 82.64 87.24

Timeout

Page 17: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Proposed Geographic Routing Protocols

BIGR: Beaconless Interactive Geographic Routing

BTGR: Beacon-on-Trigger Geographic Routing

Page 18: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Route searching phase

Route optimization phase

– Forwarding decision made through the cooperation of forwarding node and its neighbors

– Forwarding path optimized jointly by sending node and its neighbors

Beaconless Interactive Geographic Routing (BIGR)

There is no beacon, routing path is built on-demand

How to find next hop without positions of neighbors?

Page 19: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Route Searching

After a route searching, a node keeps a record for next hop

Destination F

Dest’s position, time (x_F, y_F), t

NextHop C

New position, time (x_new, y_new), t_new

Old position, time (x_old, y_old), t_old

Transmission mode greedy or recovery

B

A F

C

Next hop table for node B

Nex

t-ho

p po

siti

on

Page 20: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

How to find next hop?

When a node (C) does not have next hop information, broadcast REQ

REQ message with

A node that receives a packet for the first time

Dest DestPos SendPos

Hop

D XD, YD Xc, Yc 1

Within neighborhood

B

A

SE

H

J

D

C

G

I K

M

N

LF

Page 21: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Forwarding Node Selection Reply sending: nodes closer to destination respond after a

competition delay, and the delay is smaller for a node closer to destination

REPLY message Dest Sende

rSendPos

Hop

D G XG, YG 1

B

A

SE

H

J

D

C

G

I K

M

N

LF

Multiple replies: select the node closer to the destination as next hop

Reply suppression: a node cancels its reply if it overhears packet forwarding, or overhears reply sent by node closer to destination

Page 22: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Packet Sending

C’s next hop table

Destination D

Dest’s position, time (x_D, y_D), t

NextHop G

New position, time (x_new, y_new), t_new

Old position, time (x_old, y_old), t_old

Transmission mode greedy

B

A

SE

H

J

D

C

G

I K

M

N

LF

Page 23: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Recovery from Local Void

Without local topology, cannot use perimeter forwarding. How to recover?

B

A

S F

H

J

D

C

IK

M

N

L

G

REQ message with Dest DestPo

sSendPos

Hop

D XD, YD Xc, Yc 2

E

Broadcast REQ to N-hop neighbors

Page 24: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Finding Path in Recovery Mode Reply sending:

Dest Sender SendPos

Hop

D G XG, YG 2B

S F

H

J

D

C

IK

ML

G

E

Reply suppression: drop the REPLY if having forwarded/overhead one from the node closer to destination

– If one-hop neighbor is nearer to destination, it replies with Hop = 1; Otherwise continues broadcasting REQ

– A two-hop neighbor nearer to destination replies (reverse path), Hop = 2;

Multiple replies: select the node closer to destination

Reply message

Page 25: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Position Update and Route Optimization Update next hop position when overhearing packet

forwarding by next hop (carrying sending node position)

Validate next hop– Estimate next hop

If both old and new positions are fresh If only new position is available, it will be used as the estimated position

– Search for new route If both old and new positions are outdated If estimated position is out of transmission range or no longer closer to

destination than current forwarding node

Optimize routing path: three cases

Page 26: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Case 1: A is the destination

As A is the destination, B should send packet directly to A, so A sends CORRECT to B

B C

A

Old position

CORRECT

Current position

Old path

New path

AMove

B sets its next hop to A

Page 27: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

CORRECT

Case 2: Greedy Mode Forwarding

If A is closer to F than C is to F, A sends CORRECT to B

Old position

Current position

Old path

New path

B C

A

A

Move F

Greedy B compares A’s and C’s positions

to F, and sets its next hop to A if

it is closer to F

Page 28: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

A

Case 3: Recovery Forwarding

If A is closer to F than that from B and C, A sends CORRECT to B– If B is the first hop of recovery, if A

is closer to F than B is to F, then A is closer to F than both B and C

– If B is the last hop of recovery, if A is closer to F than C is to F, then A is closer to F than both B and C

F

D

CB

CORRECT

A

Move

Recovery mode

Greedy

Old position

Current position

Old path

New path

B compares A and C’s positions relative to F, if A is closer to F, B sets its next hop to A

If B is the first hop of recovery, change mode to greedy

Page 29: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Proposed Geographic Routing Protocols

BIGR: Beaconless Interactive Geographic Routing

BTGR: Beacon-on-Trigger Geographic Routing

Page 30: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

BTGR: Beacon-on-Trigger Geographic Routing

Position distribution: through beacons Packet forwarding

– Send packet through greedy forwarding in general.

– Use perimeter forwarding in recovery mode.

Topology maintenance– Only maintain positions of neighbors when there is

traffic

Beacon generation: triggered by data traffic and route optimization– Adaptive to traffic

Send beacon periodically when overhearing data forwarding or requested by neighbor

Stop beaconing if there is no traffic – Route optimization

Broadcast a beacon upon detecting non-optimal path

Page 31: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Beacon Triggering by Non-optimal Path

Route validation– Delete invalid neighbors– Update the positions of other members based on

estimation

Route optimization: also three cases– The first two cases are similar to those of BIGR– Case 3: When A overhears forwarding from B to C

using perimeter mode If A is closer to the destination than that of the node

position where the perimeter mode started, B should resume greedy forwarding earlier

A broadcasts a beacon to refresh its position, B will send future packets to A

Page 32: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Performance Studies

Setup:– Tool: GlomoSim– Network size: 3000 m x 1000 m, 300 nodes– Traffic: 30 CBR with rate 8kbps each– Mobility model: Random Waypoint

Measures:– Packet delivery ratio

The ratio of packets delivered to those originated by the source– Control overhead

The number of control messages over the number of packets received– Average number of data packet transmissions

The total number of packet transmissions accumulated from each hop over the total number of packets received

– Average end-to-end delay Average time interval for packets to traverse from source to

destination

Page 33: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Performance: Impact of Mobility

Delivery ratio Control overhead

BIGR and BTGR delivery ratios are not impacted by speedBIGR more actively updates the position as speed increases

Page 34: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Performance: Impact of Mobility (cont)

Total transmissions Average end-to-end delay

Our protocols have significantly lower transmission redundancy and end-to-end delay than GPSR due to more updated topology.

Page 35: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Summary of Part I

Propose two self-adaptive on-demand geographic routing protocols– Alleviate unnecessary overhead due to

proactive beacons– More efficient position distribution and very

robust to topology change: packet transmission delay is reduced more than three times at high mobility as compared to GPSR

– Outperform existing geographic protocols in all test scenarios, including mobility, node density and traffic load

Page 36: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Talk Overview

Background and motivationPart I: Self-adaptive geographic unicast

routingPart II: Scalable geographic multicast

routingOn-going and future work

Page 37: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Existing Multicast Routing Protocols

Tree-based (AMRIS, MAODV, LAM)– Utilize network resources efficiently

Mesh-based (FGMP, CAMP, ODMRP)– Robust

Difficult to scale due to overhead for route searching, group membership management, and tree/mesh maintenance over dynamic topology

Geographic multicast (LGT, DSM, PBM)– Only consider packet forwarding scheme– Reduce topology maintenance overhead, but not scalable

Page 38: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Why Is Geographic Multicast Difficult to Scale?

Putting the information of all group members into packet header creates excessive overhead for large group

Relying on location service to obtain positions for all group members adds more overhead

Page 39: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Our Contributions

Design an efficient on-demand hierarchical group membership management scheme

Use geographic forwarding to avoid building and maintaining tree/mesh structure

Introduce the home zone to avoid periodical network-range flooding of source information

Combine group membership management with location service to avoid location searches for group members

Page 40: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Track the addresses and Zone IDs of sources

Home zone

Terms Used in SGMP

Member Zone Group member

Zone leader

Source

Page 41: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

SGMP: Basic Principles

Zone LeaderMember

Join

Source

Join

Member ZoneMemberData

SourceData

Packet sending: geographic unicasting, and the packet for a zone is sent towards the zone center.

(RERESH) (REPORT)

Page 42: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Source Announcements

A source– At session initiation time, floods an

ANNOUNCE, with address, position, and group ID

– Later piggybacks its information with the multicast packets

A node interested in being a member– Records source information

Page 43: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Home Zone Management

Home zone information update

Home zone searching

Home zone election

– Other nodes: search home zone with ring of increasing size.

– Source: announces its current zone as home zone, and sets sequence number to 0; Sequence number increases by one each time home zone changes.

– Will be triggered when a node receives a message addressed to home zone with ID different from record (due to zone update or zone announcement from a new source)

– A source sends its zone ID to home zone when moving to new zone– The first home zone node floods source info to whole zone

Page 44: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Membership Management within Zone

A member

A leader

– Sends REFRESH to leader periodically and when joining /leaving group, carrying its membership and position

– Floods LEADER periodically within the zone to announce its leadership, carrying its own position and the positions and group IDs of the multicast members

Page 45: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Membership Management at Upper Tier

Home Zone

Leader knows source location

Membership report

SOURCEmessage

Leader does not know source locationor

Source information is outdated

Source: records the member zones

Page 46: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Moving between Zones

When a node moves into a new zone– Clears old zone’s information

If the node is a group member– Will continue receiving packets forwarded by old zone– Sends REFRESH to new zone leader

When a leader is moving out of a zone– Hands leadership to other nodes

Page 47: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Empty Zone Problem

S

r p

2

:zone ain node afor y Probabilit

kNkN

k

ppk

NP

)1(1

1

dSN :networkin nodes ofNumber

2 :zone of Area r

S :network of Aread :density Node

20 40 60 80 100

100m 74.885 56.282 44.864 36.865 30.853

200m 36.857 19.208 10.985 6.5467 3.9951

400m 6.4964 0.9643 0.1605 0.0281 0.0051

600m 0.5930 0.0112 0.0002 5.4E-06 1.2E-07

m2400 x m2400S 2nodes/km:Density

Page 48: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Empty Zone Handling

Member zone– The departing leader notifies the source

Home zone – The last node announces the new zone it is moving to

as the home zone; floods source information within new home zone; sends ANNOUNCE to network with sequence number of home zone increased by one

Page 49: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Multicast Packet Delivery Source

– Sends packets to all member zones and members in its zone

– Aggregates transmissions and sends one copy if several members share next hop

Intermediate nodes – Take similar action– If the message includes their

current zone, replace zone ID in the message with the information of the members in the zone. Zone leader

Group member

Other nodes

Source

Page 50: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Performance: Impact of mobility

Delivery ratio Control overhead

SGMP has up to 35% higher delivery ratio and 20 % lower overhead at high mobility

Page 51: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Performance: Scalability

Group size Network size

SGMP has higher delivery ratio under all group sizes, and has more than 2.5 times higher delivery ratio for large network sizes.

Page 52: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Summary of Part II

Design a scalable geographic multicast routing scheme– Scalable and robust group membership

management and packet forwarding in terms of group size, network range and mobility

– Avoid the need to build and maintain the tree/mesh structure over dynamic topology

– Avoid network-range flooding of source information and location searches for the group members

Page 53: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

On-going and Future Work

Cross-Layer Optimization and Design of Mobile and Wireless Systems– Create infrastructure and algorithms to enable more

optimal performance of the wireless system, by adopting an integrated, multi-layer approach

– On-going projects Power control and energy efficient transmissions in

mobile Ad Hoc networks Architecture design and cooperative resource

management for IP-based radio access network

Page 54: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

On-going and Future Work (cont)

Next Generation Mobile Wireless Network Infrastructure and Service– Development of network infrastructure and services

over emerging radio and computing technologies.

– On-going projects Sensor Network Applications and Services Programmable Wireless Networking and Service

Infrastructure Design Scalable and Resilient Wireless Mesh Network Design Context-aware Mobile Computing and Wireless Services

Architecture and Design for Heterogeneous Networks

Page 55: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Q & A

Page 56: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Home Zone Election

Home ZoneSEQ = 1

Home ZoneSEQ = 0

When a node receives a message carrying home zone ID different from that in its record– If the message has larger sequence number, update its home zone info; otherwise, forward the

message to recorded home zone

Forwardto home zone with larger SEQ

Membership report

SOURCEmessage

Page 57: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Membership Reporting in Local Zone

A group member sends REFRESH to leader to report its membership – If leader is known, unicast – If leader is not known, elect leader

Leader election (on demand)– Flood the REFRESH, indicating leader information is

requested A leader will send back a LEADER message If no LEADER is received, the member announces itself as

the leader and floods a LEADER message within the zone

Zone leader

Group member

Other nodes

Page 58: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Impact of node density

Page 59: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Impact of node density (cont)

Page 60: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Impact of traffic load

Page 61: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Impact of traffic load (cont)

Page 62: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo
Page 63: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

… Tomorrow – Common Net, Common Apps

Core InternetBackbone

AuthenticationAuthentication

PresencePresenceLocationLocation

AggregationRouter

AggregationRouter

AggregationRouter

AggregationRouter

AggregationRouter

AggregationRouter

AccessRouterAccessRouter

AccessRouterAccessRouter

3G CellularNetworks

RadioController

RadioController Access

RouterAccessRouter

UrbanNetworks

HomeNetworks

EnterpriseNetworks

4GRadios

Ad HocNetworks

4G AirInterface

4GRadios

• DSL/Cable• High Speed Internet Access

• Broadband Distribution Networks• High Speed Pico Cells• 802.11++

• Local Mobility• Packet Voice• High Data Rates

• Outdoor Areas• High Mobility

• Allow Peer-to-Peer Communications• Self Configuring

Unifies access technologies (wireless and wireline) End-to-end Internet Service

– common mobility management and control – common transport infrastructure– common services infrastructure

Page 64: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Architecture and Design for Heterogeneous Networks– Enable end-to-end communications over

heterogeneous networks: WPAN, WLAN, WMAN, W-WAN, and Internet.

Secure and Cooperative Routing over Ad Hoc Networks– Provide security and incentive to enable the relay-

based hop-by-hop transmissions.

Page 65: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Beacon Triggering by Data Traffic

Three types of beacons (for position information)– BEACON message– REQ (Carrying position)– Data packets (Carrying position)

Beacon request – Receiving REQ– Overhearing data transmission

Beacon sending – Only if the request interval is smaller than threshold

For packet sending– Use local topology information for forwarding if request sent

interval is smaller than threshold– Otherwise, send REQ to neighbor

Page 66: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Route Searching

How to find a path without beacon?– Depend on forwarding states: greedy or

recovery

Greedy forwarding– Find a neighbor closest to the destination

Recovery forwarding– How to forward when there is no neighbor

closer to the destination?

Page 67: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Membership Management in Local Zone

Membership reporting by mobiles nodes Leader election Moving between different zones

Page 68: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Membership Management at Upper Tier

A source needs to record the member zones

Source announcementHome zone electionZone membership reporting

Page 69: Xin Wang  Assistant Professor Director, Wireless and Networking Systems Lab (WINS) SUNY, Buffalo

Protocol Overview

Group membership management

Packet forwarding

– At local zone tier, a leader will collect the positions and membership of the member nodes in the zone.

– At upper tier, the leader will represent the member zone to join a multicast tree.

– At upper tier, the source sends a packet to member zones; At lower tier, the first node in the zone that receives the data packet forwards it to the group members.

– Both data and control packets are generally transmitted through geographic unicasting; Packets for a zone are sent towards the zone center

Location of group members is combined with groupmembership management