Mobile-IP priority home agents for aerospace and military applications

Ivancic, William D.; Stewart, David; Paulsen, Phillip E.; Bell, Terry; Martin, Lisa C.; Shell, D.

doi:10.1109/aero.2004.1367712

Cited by 4 publications

(4 citation statements)

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“…Mobile IPv6 regional mobility management [13] uses a Regional Anchor Point (RAP) located in the network that the mobile nodes visit in order to optimize routes. In [9], NASA and Cisco investigated multiple home agent setups in an Autonomous System. By assigning priority to home agents, mobile nodes can be associated with a closer home agent.…”

Section: Related Workmentioning

confidence: 99%

Migrating home agents towards internet-scale mobility deployments

Wakikawa

Valadon

Murai

2006

Proceedings of the 2006 ACM CoNEXT Conference on - CoNEXT '06

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While the IETF standardization process of the Mobile IPv6 and Network Mobility (NEMO) protocols is almost complete, their large-scale deployment is not yet possible. With these technologies, in order to hide location changes of the mobile nodes from the rest of the Internet, a specific router called a home agent is used. However, this equipment generates resilience and performance issues such as protocol scalability and longer paths. In order to solve these problems, we describe and analyze a new concept called Home Agent Migration. The main feature of this solution is the distribution of home agents inside the current Internet topology to reduce distances to end-nodes. As is usually done for anycast routing, they advertise the same network prefix from different locations; moreover they also exchange information about their associations with mobile nodes. This produces a Global Mobile eXchange (GMX), an overlay network that efficiently handles data traffic from and to mobile nodes, and operates home agents as would an Internet eXchange Point (IXP). When a correspondent node needs to exchange packets with a mobile node, the data traffic will be intercepted by its closest GMX home agent and redirected to the home agent to which the mobile node is bound.

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Section: Related Workmentioning

confidence: 99%

Migrating home agents towards internet-scale mobility deployments

Wakikawa

Valadon

Murai

2006

Proceedings of the 2006 ACM CoNEXT Conference on - CoNEXT '06

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“…In [8], multiple home agents are set up in an Autonomous System (AS), and each home agent is assigned a priority to help the mobile node to associate with a closer home agent. However, in order to set up the priority list it requires that the mobility pattern of the mobile nodes be known beforehand.…”

Section: Other Related Workmentioning

confidence: 99%

“…There are also research works on dynamic assignment of home agents in order to provide better data paths [7], [8].…”

Section: Other Related Workmentioning

confidence: 99%

SAIL: A scalable approach for wide-area IP mobility

Zhu

Wakikawa

Zhang

2011

2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

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Abstract-The Internet is becoming increasingly mobile, with not only smartphones outnumbering stationary hosts, but also cars, buses, trains and airplanes all coming online. This makes Internet mobility support more important than ever. However the existing standard mobility support protocols, mainly Mobile IPv6 and Network Mobility (NEMO), suffer from triangle routing problem. In this paper we present a new mobility support protocol called SAIL that provides an effective and efficient solution to the triangle routing problem while being completely compatible with Mobile IP. SAIL is built upon the Global HAHA protocol which uses multiple distributed home agents to minimizes triangle routing, but removes its high overhead by one-hop DHT. We evaluate the SAIL design through extensive simulations and our results show that SAIL can provide superior performance over Mobile IP while keeping the overhead low.

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“…Figure 9 shows an architecture whereby five geographically distant HAs are available for use by the MR -a rather extreme case. If for some reason, HA #1 were to become inaccessible, the MR This capability has many applications for military networks or homeland security [15].…”

Section: Robust Networkmentioning

confidence: 99%