13.07.2015 Views

Page 2 Lecture Notes in Computer Science 2865 Edited by G. Goos ...

Page 2 Lecture Notes in Computer Science 2865 Edited by G. Goos ...

Page 2 Lecture Notes in Computer Science 2865 Edited by G. Goos ...

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Evaluation of the AODV and DSR Rout<strong>in</strong>g Protocols 331.3DSRAODV1.251.2Merit Ratio1.151.11.052 3 4 5 6 7 8 9 10Mean Speed(m/s)Fig. 3. MERIT ratio versus mean speed.4.2 MERIT SpectraIn this section, we present the various MERIT spectra generated for the set ofexperiments where we vary the speed from 2 m/s to 10 m/s.Figure 3 shows that the MERIT ratio computed for DSR and AODV growswith <strong>in</strong>creas<strong>in</strong>g mobility rate. It is clear that as the speed <strong>in</strong>creases, the topologychanges at a faster rate. S<strong>in</strong>ce both DSR and AODV are on-demand protocols,a certa<strong>in</strong> delay is experienced before the routes are repaired and the rout<strong>in</strong>gcaches/tables are updated to reflect the latest changes <strong>in</strong> topology. The computedvalues of the MERIT ratio reflect that the paths <strong>in</strong> the rout<strong>in</strong>g table are closerto optimal for scenarios with lower speeds than for scenarios with higher speed,mostly because the topology changes are more frequent and route repairs or routema<strong>in</strong>tenance is done more frequently. Additionally, we observe that the DSRprotocol yields MERIT ratios that are closer to the optimal cost than AODV.The maximum and average differences between the computed MERIT ratios ofDSR and AODV expressed as a percentage is 1.25 and 0.5136 respectively. Thesedifferences are consistent with the observations made <strong>in</strong> [2] where the authorssuggest that DSR’s cach<strong>in</strong>g is more effective than AODV at lower mobility rateswhere the cached <strong>in</strong>formation goes stale more slowly.In Fig. 4, we see that the MERIT ratio <strong>in</strong>creases with respect to the actualpath length. The path length we plot is the average of the actual path lengthsfrom the route trace. The results <strong>in</strong> the figure <strong>in</strong>dicate that when the actual pathlengths computed <strong>by</strong> the AODV rout<strong>in</strong>g protocol are larger, the MERIT ratio isalso higher. AODV computes paths that are longer than the paths computed <strong>by</strong>DSR primarily because DSR has access to significantly greater amount of route<strong>in</strong>formation than AODV because it employs aggressive cach<strong>in</strong>g and promiscuouslisten<strong>in</strong>g. AODV has access to less <strong>in</strong>formation because it ma<strong>in</strong>ta<strong>in</strong>s only oneentry per dest<strong>in</strong>ation <strong>in</strong> its rout<strong>in</strong>g table and relies significantly on a higherfrequency of route discovery flood<strong>in</strong>g to keep its rout<strong>in</strong>g table up to date.When the paths between a source-dest<strong>in</strong>ation pair are longer (more hops),it could result <strong>in</strong> a higher end-to-end delay. Also, when the speed is higher andthe topology changes at a faster rate, there could be a higher end-to-end delay

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!