Mobile and Wireless Networks: Retrospective and Remaining Challenges Jie Wu Department of Computer...
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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
Transcript of Mobile and Wireless Networks: Retrospective and Remaining Challenges Jie Wu Department of Computer...
Mobile and Wireless Networks:Retrospective and Remaining
Challenges
Jie WuDepartment 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 Applications
Mobile video and mobile cloud
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
ICCCN 2011 Panel
Graph Models for Dynamic Networks Movement-Assisted Routing in DTNs
Store
Carry
Forward
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
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
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
Optimization Problems Optimization
Earliest-completion
Fastest
Minimum-hop
Maximum-bandwidth
Maximum-reliability
ICCCN 2011 Panel
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
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
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).
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
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.
