Design and Analysis of Optimal Multi-Level Hierarchical Mobile IPv6 Networks. Amrinder Singh Dept. of Computer Science Virginia Tech. Agenda. Introduction OM-HMIPv6 Analytical Modeling Numerical Results Simulation Validation Conclusion. Introduction.
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Dept. of Computer Science
ρ is the density of MNs
v is the average velocity of MNs
Update Cost to HA caused by MN moving to foreign network
Location cost incurred by crossing from one cell to another
Sum of location update incurred by crossing k-level MAP domain area
ω and η are unit update cost over wired and wireless link respectively
where H is distance between RMAP and AR
and di-1,i =1
α is the unit transmission cost over a wired link
PHA is processing cost at HA
Session Arrival rate is normalized to 1
As SMR , mobility and location cost
As ARs , more levels and location cost
Optimal Hierarchy increases with number of ARs. More importantly an optimal hierarchy level exists
Varying the communication costs does change optimal hierarchy by determining which cost dominates.
Higher SMR means that packet delivery cost dominates the total cost and a lower hierarchy will reduce the total cost. Adaptive scheme will be effective
Mean session length is set to 10. Session arrival rate is normalized to 1.
As SMR , mobility , hence frequency of binding updates
Higher hierarchy implies lower binding cost as more number of LMAPs and IMAPs means binding update does not reach RMAP often
Mobility rate is fixed at 0.001
We need to count how many MAP processings occur when packets are delivered
As SMR , session arrival rate
More packets to deliver
Also cost greater for higher hierarchy
Total cost is the sum of binding update and packet delivery costs
Validates the analytical result that lower SMR means more hierarchical levels while a higher SMR means lower hierarchical levels