A DHCPv6 based MAP selection scheme for hierarchical mobile IPv6

Authors:
Xiaolei Tie;Hancheng Lu;Peilin Hong;Kaiping Xue;Bin Zhu
Affiliations:
The Information Network Lab of EEIS Department, University of Science and Technology of China, Hefei, China;The Information Network Lab of EEIS Department, University of Science and Technology of China, Hefei, China;The Information Network Lab of EEIS Department, University of Science and Technology of China, Hefei, China;The Information Network Lab of EEIS Department, University of Science and Technology of China, Hefei, China;The Information Network Lab of EEIS Department, University of Science and Technology of China, Hefei, China
Venue:
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Year:
2009

Citing 3
Cited 0

The Node Distribution of the Random Waypoint Mobility Model for Wireless Ad Hoc Networks

IEEE Transactions on Mobile Computing
An adaptive mobility anchor point selection scheme in Hierarchical Mobile IPv6 networks

Computer Communications
Dynamic MAP selection scheme in HMIPv6 network

MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

In Hierarchical Mobile IPv6 (HMIPv6), most of existing MAP selection schemes is Mobile Node (MN) based, which implements MAP selection on MN side and supposes all MNs use the same selection algorithm. But in practical environment, MNs usually adopt different MAP selection algorithms, which will disorder the MAP selection and make the performance of entire system hard to achieve as expected. Thus, a Dynamic Host Configuration Protocol for IPv6 (DHCPv6) based framework for MAP selection is proposed, where a DHCPv6 server is deployed to control the MAP selection by allocating proper Regional Care-of-Address (RCoA) for MNs. Moreover, a statistical prediction based MAP selection algorithm is introduced in the framework to reduce the Inter-MAP handoffs and achieve better load control. The algorithm uses Poisson Model to predict the number of MNs which will use MAPs in the future, and then selects a proper MAP based on these predicted quantities. Experimental results show that our proposed scheme significantly reduces the number of Inter-MAP handoffs while a better load control is achieved compared with existing distance-based and mobility-based schemes.