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NEtwork MObility (NEMO) is designed to efficiently deal with the mobility of a set of mobile nodes using Mobile Routers (MRs).
We determine the route expiration time between two connected mobile nodes using global positioning system (GPS).
Communications in mobile opportunistic networks, instead of using the Internet infrastructure, take place upon the establishment of ephemeral contacts among mobile nodes using direct communication.
As in our example clients are expected to be mobile nodes using mobile networks (e.g., 3G and 4G), they may lose their connection any time.
The random packet loss in the wireless channel makes it difficult for mobile nodes using one of those proposals (e.g. TCP CUBIC [32]) to estimate available channel bandwidth and achieve optimal TCP throughput.
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Such mobile nodes use their ability to move in order to maximize the area covered by the network.
So, we estimate the distances between fixed nodes and mobile node, using the following equation: begin{aligned} hat{d_i}= 10^{[P_0 + 10Nlog (d_0) - p_i]/(10N }, end{aligned} (11 where (hat{d_i}) is the estimated distance from mobile node to a fixed node (i).
From the figure, it can be seen that as the network becomes congested, the mobile node using the predicted score at time (t) has advanced warning that the QoS of the network is deteriorating.
In the proposed scheme, each mobile node uses temporary public key pairs to establish pairwise secrets with its neighbors and the pairwise secrets in turn are used to build secure route.
In Figure 10 we assume that the target is located at the origin and results correspond to decision fusion model 2. It can be seen from Figure 10 that when each mobile node uses same speed and same set of direction at each time step, the detection performance with sequential approach fairly matches that of the dynamic programming approach.
(2). Figure 3 Example: a group of five mobile nodes movements using the RPGM model.
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