I was wondering why Analytical methods are inappropriate to evaluate and analysis the performance of MANETs ?
Analytical methods require certain simplification to model and predict the performance. Therefore, they are inappropriate due to inherent complexity and diverse nature of MANETs
After some consideration, simulation was chosen as the method of study to evaluate and analysis the performance of MANETs Particularly, when this research work was undertaken, analytical models with respect to multi-hop MANETs were considerably coarse in nature which made them unsuitable to aid the study of broadcast using flooding with a reasonable degree of accuracy; it should be noted, however, that understanding of multi-hop wireless communications has improved in recent times. In addition, since the range of this study of broadcasting in MANETs involves numerous mobiles nodes, even a moderate deployment of nodes as an experimental test-bed could involve substantial and too expensive cost. As such, simulation was chosen as it provides a reasonable trade-off between the accuracy of observation involved in a test bed implementation and the insight and completeness of understanding provided by analytical modeling
Analytical methods require certain simplification to model and predict the performance. Therefore, they are inappropriate due to inherent complexity and diverse nature of MANETs. Oversimplified models may lead to inaccurate results that are not desirable.
For me the mathematical analysis is the best way to study and prove any scientific idea, however, you may take in consideration many other situations in real-life scientific analysis such as randomness, probability, rare situations, physical situations, physical environment, multidimensional environment, and others, which will rise the complexity of the mathematical analysis, making it harder for you to express and for others to understand.
In other hand analytical simulation tools are based on mathematical analysis, that will carry on the heavy work of real life situations (over your supervision), leaving you only with input-output analysis which will be easy to be expressed and understand (without ignoring real life situations).
this is may because the instability's nature of such networks like nodes speed and locations that prone to change by time. so need to take in to consideration these different parameters.
Thank you Dr.Muneer , Reema , Mohammad and Huda ..
I think there are essentially three techniques for performance evaluation: analytical modelling, simulation, and measurement. At first, measurements may not give accurate results because of the environmental parameters and the time of measurement, which may be unique to the experiment.
Secondly, Analytical modelling usually provides the best insight
into effects of various parameters and their interactions BUT the drawback of analytical modelling is that it requires many simplifications and assumptions.
Hence due to the distributed and dynamic nature of Ad hoc networks , it is difficult to use analytical models to evaluate the performance of ad hoc networks.
Finally, simulations can incorporate more details than analytical modelling, but usually take a long time to develop.
- Martucci, Leonardo Augusto. "Identity and anonymity in ad hoc networks." (2009).
-Srivastava, V., Neel, J. O., MacKenzie, A. B., Menon, R., DaSilva, L. A., Hicks, J. E., ... & Gilles, R. P. (2005). Using game theory to analyze wireless ad hoc networks. IEEE Communications Surveys and Tutorials, 7(1-4), 46-56.
Analytical methods require certain simplification to model and predict the performance. Therefore, they are inappropriate due to inherent complexity and diverse nature of MANETs. Oversimplified models may lead to inaccurate results that are not desirable.
Simulation is economical because it can carry out experiments without the actual hardware. It is flexible because it can, for example, simulate a link with any bandwidth and propagation delay or a router with any queue size and queue management policy. Simulation results are easier to analyse than experimental results because important information at critical points can be easily logged to help researchers diagnose network protocols, Simulation provides a good compromise between complexity and accuracy.
in term of the nature of the MANET that is infrastructure-less it is difficult to be evaluated and analysis by the analytical methods because it can't get the specific results that these methods require
The best method to evaluate the performance of MANET is the simulation by using NS-2 simulator and end-to end delay , packet delivery and packet loss ratio , throughput and jitters for reactive and proactive protocols
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