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Mobile and Wireless Networks: Retrospective and Remaining Challenges Jie Wu Department of Computer and Information Sciences Temple University

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Mobile and Wireless Networks: Retrospective and Remaining Challenges Jie Wu Department of Computer and Information Sciences Temple University. Wireless and Mobile Networks. Dead-end or the Dawn of a New Ear? Not dead-end Greatest Opportunities Ahead Theory Mobility: model and applications - PowerPoint PPT Presentation

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Page 1: Wireless and Mobile Networks

Mobile and Wireless Networks:

Retrospective and Remaining

Challenges

Jie Wu

Department of Computer and Information Sciences

Temple University

Page 2: Wireless and Mobile Networks

Wireless and Mobile Networks

Dead-end or the Dawn of a New Ear? Not dead-end

Greatest Opportunities Ahead Theory

Mobility: model and applications Applications

Mobile video and mobile cloud

Page 3: Wireless and Mobile Networks

PSU

Mobility: Friend or Foe Routing capability

Foe in dense mode (MANETs)

Friend in sparse mode (DTNs)

Network capacity

Security

Sensor coverage

Information dissemination (mobile pub/sub)

Reducing uncertainty in reputation systems

Page 4: Wireless and Mobile Networks

ICCCN 2011 Panel

Graph Models for Dynamic Networks

Movement-Assisted Routing in DTNs

Store

Carry

Forward

Page 5: Wireless and Mobile Networks

Applications Node movement

Vehicular networks (VANETs) Social contact networks (SCNs)

Edge dynamic Wireless sensor networks (WSNs)

• duty cycle

Cognitive radio networks (CRNs)• primary users (PU) and secondary users (SU)

pu: {c}

su1: {1, 2} su2: {1, 2, c}

u v

Page 6: Wireless and Mobile Networks

ICCCN 2011 Panel

Connectivity

(u,v) - connectivity under time-space view

• All i, (u(i), v(i))

• Exist i, (u(i), v(i))

• Exist i, j, (u(i), v(j))

View(i) View(i+1) View(j)

View window Time

Space

u v

Page 7: Wireless and Mobile Networks

Evolving Graph and Extensions Time sequence: t1, t2, ..., tL

Gi = (Vi, Ei): subgraph in [ti, ti+ Δ]

Evolving graph: (V, E), where

(u,v) = {i | (u, v) є Ei} (i: label)

Weighted evolving graph

(u, v) = {(i, wi) | (u, v) є Ei}

where weight wi: bandwidth,

reliability, and latency

ICCCN 2011 Panel

Page 8: Wireless and Mobile Networks

Optimization Problems Optimization

Earliest-completion

Fastest

Minimum-hop

Maximum-bandwidth

Maximum-reliability

ICCCN 2011 Panel

Page 9: Wireless and Mobile Networks

Solution: Slicing and Virtualization

SlicingPartition G into G1, G2, …, Gi

Select the best among i solutions for Gi

VirtualizationEnlarge G to G’ through virtualizationSolve G’ which includes a solution for G

Page 10: Wireless and Mobile Networks

Mobile video…

Popularity of mobile devices Smartphones (Android and iPhone platforms) Netbooks and tablets

Popularity of mobile video From 2009 – 2014, mobile traffic is predicted to increase

39 times 66% of this traffic expected to be video by 2014

Key technologies and players WiMax. Clearwire/Sprint, Korean Telecom, and UQ/KDDI

(Japanese)

LTE. NTT, DoCoMo, Verizon, T-Mobile, AT&T, China Telecom-Unicom, and KDDI

Page 11: Wireless and Mobile Networks

Wireless at Temple University

Metropolitan WiMax deployment Joint project with Drexel University and City of

Philadelphia. Our goal: Provide wireless coverage for downtown Philadelphia. Various projects (later).

Page 12: Wireless and Mobile Networks

Research projects

Tourist applications using city-wide WiMax WiMax centric bodynet for telemedicine Content delivery network using WiMax WiMax mobile surveillance for law enforcement WiMax enhanced mobile urban sensing

Page 13: Wireless and Mobile Networks

Wireless at Temple University Why WiMax?

Only choice within GENI. Need vendor support. Currently, only NEC.

Why Philadelphia? Digital Philadelphia. Gigabit city vision. Existing/proposed wireless infrastructure. e.g.

4.9 GHz Wimax video surveillance, 700 MHz LTE citywide overlay.