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. 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 PresentationTRANSCRIPT
![Page 1: Mobile and Wireless Networks: Retrospective and Remaining Challenges Jie Wu Department of Computer and Information Sciences Temple University](https://reader035.vdocument.in/reader035/viewer/2022070500/5681682c550346895dddc304/html5/thumbnails/1.jpg)
Mobile and Wireless Networks:Retrospective and Remaining
Challenges
Jie WuDepartment of Computer and Information Sciences
Temple University
![Page 2: Mobile and Wireless Networks: Retrospective and Remaining Challenges Jie Wu Department of Computer and Information Sciences Temple University](https://reader035.vdocument.in/reader035/viewer/2022070500/5681682c550346895dddc304/html5/thumbnails/2.jpg)
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
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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
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ICCCN 2011 Panel
Graph Models for Dynamic Networks Movement-Assisted Routing in DTNs
Store
Carry
Forward
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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
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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
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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
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Optimization Problems Optimization
Earliest-completion
Fastest
Minimum-hop
Maximum-bandwidth
Maximum-reliability
ICCCN 2011 Panel
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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
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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
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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).
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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
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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.