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DSDP organizes the network area into hierarchical regions to reduce service update cost.
The update cost for the object tracking tree will be reduced when TAP is performed.
Thus, the design of the hardware lookup table needs to tradeoff between the implementation cost, lookup performance and update cost.
The simulation results show that the update cost for certain tree construction algorithms can be improved using the center of gravity policy.
The performance of the proposed IN architecture is compared with an IN architecture based on IS-41 with consideration of UPT user personal mobility in terms of call delivery cost and location update cost.
For a given constant Z, the reporting center problem asks for a set of reporting cells of minimum cardinality such that each selected cell has a vicinity of size at most Z so that the update cost is minimized and the locating cost is bounded by Z.
Figure 5 The average update cost (1 100 links).
Therefore, the proposed scheme provides low computation and update cost.
Therefore, the proposed scheme can reduce both the location update cost and the packet tunneling cost.
The location update cost and the packet delivery cost are denoted by CLU and CPD, respectively.
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We give a P2P design that explicitly trades off query cost versus maintenance/update cost.
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