Support for multimedia traffic in mobile distributed multiple hop wireless networks
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Support for Multimedia Traffic in Mobile, Distributed, Multiple-Hop Wireless Networks. Steven Boyd S.U.R.E. Program 2003. Presentation Overview. Project Background Current Routing Protocols Improving the Protocols Network Model Conclusions Future Work. Project Background.

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Support for Multimedia Traffic in Mobile, Distributed, Multiple-Hop Wireless Networks

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Support for multimedia traffic in mobile distributed multiple hop wireless networks

Support for Multimedia Traffic in Mobile, Distributed, Multiple-Hop Wireless Networks

Steven Boyd

S.U.R.E. Program 2003


Presentation overview

Presentation Overview

  • Project Background

  • Current Routing Protocols

  • Improving the Protocols

  • Network Model

  • Conclusions

  • Future Work


Project background

Project Background

  • Ad hoc Networks

    • Small group of wireless mobile nodes (<100)

    • No Centralized Infrastructure

    • Military Applications - Handheld Multimedia Terminals (HMTs)

  • RAVEN (Reliable All-Informed Voice Network)

    • Networking Protocols for HMTs

      • Adaptive Transmission Protocol (ATP)

      • Other Routing Protocols

    • HMT Capabilities

      • Direct-Sequence Spread-Spectrum Radio

      • Four Frequency Channels

      • Can Adapt Power, Code Rate, and Spreading Factor


What makes a network efficient

What Makes a Network Efficient?

  • High Completion Rates

    • Packets Delivered Successfully vs. Packets Sent

  • Low End to End (ETE) Delay

  • Quality of Service Requirements

    • Voice vs. Data


Improving the current protocols

Improving the Current Protocols

  • Goal:

    • Increase Network Efficiency for Voice Traffic

      • Voice packets travel along dedicated multi-hop paths called “Virtual Circuits”

    • Problem: Virtual circuits need to be repaired.

  • Solution:

    • Predict when a transmission link will fail and re-route the virtual circuit to avoid losing the packet.

    • Use Link Resistance values


Calculating link resistance

Energy Metric

Determined by the Power Rate and Information Rate for the Link

Failed Tx Metric

Determined by the number of failed forwarding attempts on the link.

Remote Resistance

Determined by the amount of traffic at the receiving terminal.

Calculating Link Resistance

  • LRv = vE(A,B) + vL(A,B) + vR(A,B) + C

  • Adaptive Transmission Protocol

    • Adjust Power and Information Rate


Current vs proposed

Re-routing based only on total value of link resistance

Does not account for time validity of data stored in neighbor tables

Re-routing based on individual components of link resistance

Takes into consideration the time validity of data.

Current vs. Proposed


Network model

Network Model

  • Established a Network of 25 Nodes

  • 12 Nodes generate voice packets

  • All Nodes generate data packets

  • OPNET Simulation Software

    • Allows Modeling of Defined Networks

    • Allows Simulations to Determine Network Efficiency for Network Models


Network mobility model

Destination Node

Source Node

Network Mobility Model

16 Mobile Nodes

9 Stationary Nodes


Performance of current protocol

Performance of Current Protocol


Performance vs increased mobility

Performance vs. Increased Mobility


Conclusions

Conclusions

  • Information rate is a good predictor of link failure.

  • Using time-validity of gathered data improves completion rates.

  • Using a combination of information rate and time-validity provides the best overall network routing protocol.


Future work

Future Work…

  • Define a new routing metric which introduces time-validity as a component of link resistance.

  • Establish a more detailed interface between the virtual circuit manager and the ATP protocol to use all possible information when determining routes.


Questions

Questions…

?


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