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The mobile node performs only track-based movement.
Figure 12 shows TCP throughputs for proposed schemes (I and II) against known schemes when a mobile node performs the handover from WLAN to cellular network.
Figure 11 shows TCP throughputs for proposed schemes (I and II) against known schemes when a mobile node performs the handover from cellular network to WLAN.
Figure 13 shows TCP throughputs for proposed schemes (I and II) against known schemes when a mobile node performs the handover from cellular network to WLAN with congestion in the wired part while Figure 14 shows TCP throughputs when a mobile node performs the handover from WLAN to cellular network.
If a mobile node performs handover from 3G cellular network of 1 Mbps to WLAN of 10 Mbps as in Table 1, 50% TCP throughput before handover is translated to 0.5 Mbps while 40% TCP throughput after handover is translated to 4 Mbps.
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Assuming a simple mobility management mechanism based on mobile nodes performing periodic radio channel assessment and switching, we propose a methodology to compute values for specific parameters that enable an optimal (minimum) and bounded duration of the handoff procedure.
In the following figures, we assume that mobile nodes perform sequential node mobility management as discussed in Sections 4.4 and 5.4, since it can be seen that the performance with mobility algorithm based on sequential approach is much closer to that with evaluated based on forward dynamic programming algorithm (see Figure 10 for comparison).
Thus, in this paper, we consider that th mobile node to perform likelihood ratio testing on its observations.
Since each mobile and static node performs their detection problems independent of each other, maximizing over all possible movement plans for will maximize the sum at time.
So a mobile node in GSM network performs a horizontal handover when it moves from one GSM cell/access point to another.
But under varying speed of mobile nodes, the SPAWN performs better than rest of the two protocols.
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