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In this model, motion is only allowed on predefined paths (streets). Thus when moving from one waypoint to another, the node may not be able to proceed in a straight line, but rather must stay on the streets and make turns at intersections. It is easy to see that there is little computational overhead as a direct effect of node mobility. In any of the above models, the computations are simple laws of motion and physics and easy to compute. However, the indirect effects of mobility, specifically the changing neighbor set for packet transmissions, can be significant.

Cls December 6, 2006 15:35 27 CHAPTER 4 Wireless Network Simulation The previous section discussed a number of simulation techniques that have been used or proposed to model computer networks using wired links. As mentioned, an accurate model of the behavior of such a link is quite easy to create, and is computationally efficient. In contrast, models for wireless networks are difficult to construct, difficult to validate, and computationally intensive. This difficulty stems from several factors.

A variation on the random waypoint model is called the specific waypoint model. This is identical to the random waypoint model, excepting that the waypoints are deterministic and selected in advance. This allows for known mobility patterns, such as students moving from one building to another between classes. A third variation is called the Manhattan model. In this model, motion is only allowed on predefined paths (streets). Thus when moving from one waypoint to another, the node may not be able to proceed in a straight line, but rather must stay on the streets and make turns at intersections.

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