New approach for mobility management
Integration of clustering technique for QoS Improvement in MANETs networks
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The measurement of mobility in MANETs networks is done by several methods and different ways. The aim here is, at first, define three methods; the first one is based on the change in number of nodes compared to the neighboring ones, the second is in the same framework but is based on the automation of input and output variables, and the last shows the average value and the relative speed for the calculation of the mobility. The second point out the disorder, the high number, and the great mobility of nodes in MANETs networks. These latter are considered to be the major problems in these networ...
The measurement of mobility in MANETs networks is done by several methods and different ways. The aim here is, at first, define three methods; the first one is based on the change in number of nodes compared to the neighboring ones, the second is in the same framework but is based on the automation of input and output variables, and the last shows the average value and the relative speed for the calculation of the mobility. The second point out the disorder, the high number, and the great mobility of nodes in MANETs networks. These latter are considered to be the major problems in these networks. To solve these problems we attempt organizing the network by the clustering technique. This technique helps us to find a parameter which will be integrated into the MPRs selection process of OLSR. Finally, anticipate the unpredictable mobility and the large amounts of traffic generated by each interface nodes that make communication in such a network increasingly difficult to manage. Thus, the routing protocols must be adapted to such conditions. In fact to make the OLSR protocol more energetic, efficient and adaptable to the conditions dictated by the environment of each node.
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