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Gugrajah_Yuvaan_ Ramesh_2003.pdf

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Conclusion<br />

6.2. Future Work<br />

6.2.1. Load Balancing and Cross-Layer Adaptations<br />

Chapter 6<br />

The simulations results in Chapter 3 show that load balancing and signal monitoring<br />

are advantageous to the performance of the routing protocol. Other methods of<br />

monitoring the environment by allowing the interaction of various layers of the<br />

protocol stack can be investigated. For example, the medium access control protocol<br />

has already been used in some simulations discussed in the literature to provide the<br />

routing protocol with connectivity information. Route selection can benefit from<br />

information gained due to these interactions.<br />

6.2.2. Simulator Mobility Models<br />

Software simulators are used in an attempt to simulate real life statistics. However,<br />

the assumptions that are made, such as arrival statistics, service statistics,<br />

propagation models and mobility models, are questionable. A potential area of<br />

investigation is in the determination of realistic mobility models that would apply to<br />

particular application scenarios. While the random movement models do provide<br />

certain insights in the behaviour of the protocols, the next step is to obtain actual user<br />

mobility traces so that the routing protocols can be evaluated in a more realistic<br />

scenario. Experiments could also provide the required physical layer propagation<br />

models that would allow the simulator to consider more realistic wireless<br />

environments. While too much detail results in slow and cumbersome simulators,<br />

simulations that lack necessary detail can result in misleading or incorrect results.<br />

6.2.3. Analytical Model Assumptions<br />

The Poisson arrival is the fundamental assumption underlying the Erlang Formula.<br />

The reduced load approximation and many other strategies for evaluating networks<br />

rely on this assumption. The importance of this assumption is that the distribution of<br />

the call duration only shows through its mean value in the blocking probability. It is<br />

foreseeable that with long holding times in data networks (which implies infinite<br />

6-4

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