'Mobile ad' presentation slideshows

Applied Game Theory Lecture 4

Applied Game Theory Lecture 4. Pietro Michiardi. Recap from last lecture. Last time we formally discussed about mixed strategies and mixed strategy NE

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Power Aware Routing in Mobile Ad-Hoc Networks

31 st Oct, 2002. Power Aware Routing in Mobile Ad-Hoc Networks. Sumit I Eapen - Joy Ghosh. Contents. Introduction Metrics for power awareness Routing Protocols > Power Source Routing (PSR) > Local Energy Aware Routing (LEAR)

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Mobile Ad-hoc Networks

Mobile Ad-hoc Networks. Fred Baker. The manet problem. Mobile Random and perhaps constantly changing Ad-hoc Not engineered Networks Elastic data applications which use networks to communicate. Examples of such networks. Sensor networks Automotive networks Military applications.

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Worm Creation & Detection in Mobile Ad-Hoc Networks (MANETs)

Worm Creation & Detection in Mobile Ad-Hoc Networks (MANETs). Jacob Lynch, Johnny Wong, Kevin Schmidt, Rick Jones. Table of Contents. Introduction OLSR OLSR Worm OLSR Worm Detection Demonstration Conclusion & Future Work. Introduction. Viruses Require human interaction to spread Worms

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Dealing with Selfish and Malicious Nodes in Ad Hoc Networks

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Elements of a wireless network

wireless hosts laptop, PDA, IP phone run applications may be stationary (non-mobile) or mobile wireless does not always mean mobility. network infrastructure. Elements of a wireless network. base station typically connected to wired network

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Distributed Systems

Distributed Systems. Serverless (peer-to-peer) networking Paul Krzyzanowski pxk@cs.rutgers.edu ds@pk.org. Except as otherwise noted, the content of this presentation is licensed under the Creative Commons Attribution 2.5 License. Peer-to-peer models. Client-server computing

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Routing in Mobile Ad-Hoc Networks

Routing in Mobile Ad-Hoc Networks. An M.Tech. Project by Srinath Perur Guide: Prof. Sridhar Iyer. Organization. Introduction to Mobile Ad hoc networks (MANETs) Routing in MANETs Virtual Backbone Routing Kelpi: Algorithm and implementation Conclusions. Towards MANETs.

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EE5723/EE4723 - Course Projects

EE5723/EE4723 - Course Projects. Course Projects .

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Using Cramer- Rao -Lower-Bound to Reduce Complexity of Localization in Wireless Sensor Networks

Using Cramer- Rao -Lower-Bound to Reduce Complexity of Localization in Wireless Sensor Networks. Dominik Lieckfeldt, Dirk Timmermann Department of Computer Science and Electrical Engineering Institute of Applied Microelectronics and Computer Engineering University of Rostock

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Selective Forwarding Attack: Detecting Colluding Nodes in Wireless Mesh Networks

Selective Forwarding Attack: Detecting Colluding Nodes in Wireless Mesh Networks. Shankar Karuppayah. National Advanced IPv6 Centre (NAv6) Universiti Sains Malaysia. Network Security Workshop, February 14, 2012. Contents. Introduction Problem Statement Related Work

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IEEE 802.11 Wireless LAN

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Problem 87% of the main target group know the product, but only 52% have tested it yet

Young Lions 2014 - J.Arbesser , S.Aue MEDIA Competition. The Red Bull Cola Story # loveredbullcola. Problem

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SPRAHN: Secure Protected Rewards in Ad Hoc Networks for ECE695 Mobile Wireless Networking

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