The definition of the best may vary according to the region of deployment. For example, if the nodes in the network may move along the roads or streets only, then the street model will be the best. If the nodes may choose only the direction randomly and not the destination then the random direction model is the best. If nodes may choose a random destination with a random speed that may vary from min speed to a max speed, and after arriving at the destination, the mobile node takes a pause and then starts moving again to the next random destination; then random way point model is the best. Similar is true for other models.
The definition of the best may vary according to the region of deployment. For example, if the nodes in the network may move along the roads or streets only, then the street model will be the best. If the nodes may choose only the direction randomly and not the destination then the random direction model is the best. If nodes may choose a random destination with a random speed that may vary from min speed to a max speed, and after arriving at the destination, the mobile node takes a pause and then starts moving again to the next random destination; then random way point model is the best. Similar is true for other models.
If the seen is realistic (e.g campus),so kindly tell me how we can make new mobility models for any scenario...when the movement of the node is (speed is 4-5 km/h).how we can find(mathematically) the angle and speed ,distance traveled by the node.