Koivu200104 - Centre for Wireless Communications

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Ad-Hoc Networking Course

Instructor: Carlos Pomalaza-Ráez

D. D. Perkins, H. D. Hughes, and C. B. Owen:

”Factors Affecting the Performance of Ad Hoc

Networks”, in Proc. IEEE International Conference on Communications (ICC’02), pp. 2048-2052

Sami Koivu

Centre for Wireless Communications sami.koivu@ee.oulu.fi

20.1.2004

Outline

1. Introduction and Motivation

2. Methodology, Simulation, and Experimental

Design

3. Performance Metrics and Experimental Factors

4. Simulation Results and Design Analysis

5. Summary

© Sami Koivu: Presentation in Ad-Hoc Networking Course 20.1.2004

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Introduction and Motivation

• The goal of mobile ad hoc networks (MANETs) is to provide rapidly deployable means of communication without a pre-excisting infrastructure

• MANETs have a dynamic, multi-hop, and constantly changing structure

• The dynamic characteristics of ad-hoc networks cause great design challenges

• Therefore, the factors that affect the performance of the networks have to be studied

© Sami Koivu: Presentation in Ad-Hoc Networking Course 20.1.2004

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Introduction and Motivation

• In this paper, the impact of five various factors are studied:

1. Node speed

2. Node pause time

3. Network size

4. Number of traffic sources

5. Routing protocol

• Source vs. distributed

• Additionally, the two-way interactions of these factors are examined, i.e., whether the effect of one factor is dependent on the level of another

• The impact of the factors are studied using a 2 k

( k =5, r =4) factorial design r

© Sami Koivu: Presentation in Ad-Hoc Networking Course 20.1.2004

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Methodology, Simulation, and

Experimental Design

• Since 2 k r ( k =5, r =4) factorial design is used, 32 separate experiments are done

• Each experiment is replicated 4 times resulting in 128 simulation runs

• Simulation study is carried out using Global Mobile

System Simulator (GloMoSim)

• Model is simulated for 200 seconds of simulated time

• Radio transmission range is approximately 250 m, free space propagation model is used

• Channel capacity is 2 Mbits/s

© Sami Koivu: Presentation in Ad-Hoc Networking Course 20.1.2004

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Methodology, Simulation, and

Experimental Design

• IEEE 802.11 Medium Access Control Protocol is used as the MAC protocol

• Sources transmit continuously 1024-byte data packets at a constant rate of 4 packets/s

• Utilized routing protocols are: Dynamic Source

Routing (DSR, source) and Ad-hoc on Demand

Distance Vector (AODV, distributed)

– Both the protocols are reactive

• The random waypoint mobility model is used

– Each node is placed randomly in the simulated area

(1600m*400m)

© Sami Koivu: Presentation in Ad-Hoc Networking Course 20.1.2004

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Performance Metrics and Experimental

Factors

• The studied performance metrics are:

1. Throughput

• The effectiveness how well the network delivers the packets from the source to the destination

2. Average Routing Overhead

• The average number of control packets (route requests, replies, and error messages) produced per node

3. Average Power Consumption per node

© Sami Koivu: Presentation in Ad-Hoc Networking Course 20.1.2004

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Performance Metrics and Experimental

Factors

• The main effect of a factor is the average change in the considered metric when the factor is changed from its level 1 (-) to its level 2 (+)

• The two-way interaction effect is the difference between the average values of a metric when two factors are at the same level and when they are at opposite levels

© Sami Koivu: Presentation in Ad-Hoc Networking Course 20.1.2004

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Performance Metrics and Experimental

Factors

• The two-way interactions are denoted as label a x label b (for example the two way interaction of node speed and routing is 1x5)

© Sami Koivu: Presentation in Ad-Hoc Networking Course 20.1.2004

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Simulation Results and Design Analysis

• The effects on control overhead

– The increase in node speed, number of sources, and utilization of distibuted routing increase the control overhead

– The two-way interactions of node speed – number of sources, node speed – routing, and number of sources – routing have also strong effects

© Sami Koivu: Presentation in Ad-Hoc Networking Course 20.1.2004

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Simulation Results and Design Analysis

• The effects on throughput

– Node speed, the number of sources, and their two-way interaction have a strong negative impact (when the factors increase the throughput of the network decreases)

– The increase in network size increases the throughput

– The type of routing has little effect on throughput

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Simulation Results and Design Analysis

• The effects on power consumption

– Network size has a negative impact

– Number of sources has a strong positive impact

– Their two-way interaction has small negative effect

© Sami Koivu: Presentation in Ad-Hoc Networking Course 20.1.2004

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Simulation Results and Design Analysis

• The importance of each factor is described in Table 2

– The proportion of variation in performance metric that is explained by the factor is presented

• The number of sources is the most important parameter when considering the overall performance of the network

• Node speed and network size are also quite important

• Routing protocol affects significantly only the average control overhead

• The last row includes the proportion of variation of experimental error

© Sami Koivu: Presentation in Ad-Hoc Networking Course 20.1.2004

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Simulation Results and Design Analysis

© Sami Koivu: Presentation in Ad-Hoc Networking Course 20.1.2004

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Summary

• The effect of five factors (node speed, pause-time, network size, number of sources, and routing protocol) on the performance of ad-hoc network was studied

• Three performance metrics (throughput, average routing overhead, and power consumption) were used

• The number of traffic sources is the most important factor when considering the performance, node speed and network size are also important

• Source routing more efficient than distributed one, because it achieves almost the same performance with much less control overhead

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