Measuring and Improving the Performance of Network Mobility Management in IPv6 Networks

Petander, Henrik; Perera, Eranga; Lan, Kun-Chan; Seneviratne, Aruna

doi:10.1109/jsac.2006.875116

Cited by 70 publications

(28 citation statements)

References 13 publications

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“…Unlike Simple Prefix Delegation, a DHCP client in an MR obtains a prefix from the network it attaches to (a mobile network or a wired network). Petander et al [41] extended Optinet (xOptinet) that reduces signaling by restricting the obtaining of the CoAs to only those nodes that are actively communicating with CN during handoff. Moreover, xOptinet optimizes the route for the LFNs by [42], [43], like NDproxy, MCNs obtain the CoA from the prefix of the foreign access network.…”

Section: B) Neighbor Discovery Proxy (Nd-proxy)mentioning

confidence: 99%

“…However, RO schemes will affect handoff performance due to increased signaling that consumes and competes for bandwidth. To reduce packet loss during handoff, Petander et al [41] propose the use of multiple interfaces during handoff and evaluated a RO scheme along with the improved handoff procedure. Ryu et al [65] proposed a handoff scheme where the HA sends packets to the old and new access routers of a mobile router simultaneously.…”

Section: Future Research Directionsmentioning

confidence: 99%

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Route optimization in network mobility: Solutions, classification, comparison, and future research directions

Shahriar¹,

Atiquzzaman²,

Ivancic

2010

IEEE Commun. Surv. Tutorials

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Abstract-NEtwork MObility (NEMO) handles mobility of a set of mobile nodes in an aggregate way using one or more mobile routers. NEMO introduces several advantages, such as reduced signaling, increased manageability, reduced power consumption and conservation of bandwidth when compared to individual host mobility. NEMO Basic Support Protocol (BSP), the IETF standard for NEMO, suffers from a number of limitations, like inefficient route and increased handoff latency. Most of the recent research efforts on NEMO have concentrated on solving the problem of inefficient route resulting in several route optimization schemes to solve the problem. To choose a route optimization scheme, it is very important to have a quantitative comparison of the available route optimization schemes. The objective of this article is to survey, classify and compare the route optimization schemes proposed in the literature over the last five years. We classify the schemes based on the basic approach for route optimization, and compare the schemes based on protocol overhead, such as header overhead, amount of signalling, and memory requirements. We conclude that performance of the classes of schemes has to be evaluated under criteria such as available bandwidth, topology of the mobile network and mobility type.

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Section: B) Neighbor Discovery Proxy (Nd-proxy)mentioning

confidence: 99%

Section: Future Research Directionsmentioning

confidence: 99%

Route optimization in network mobility: Solutions, classification, comparison, and future research directions

Shahriar¹,

Atiquzzaman²,

Ivancic

2010

IEEE Commun. Surv. Tutorials

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“…Here, MIPv6 has been studied in an experimental testbed using WiMAX and WiFi as underlying link layer technologies. In [7], NEMO is used as a base protocol in a testbed where two different 802.11 interface cards are used in order to perform make-before-break handovers.…”

Section: Related Workmentioning

confidence: 99%

“…In addition, wireless channel loss (i.e., the FER) is modeled as 7 Different proposals related to TCP buffer auto-tuning can be found in [44]. We also assume that the allocated user data rate in both cells is the same (i.e., 31.5 kbit s −1 ) and that all L-DACS 1 specific messages are transmitted without any channel error.…”

Section: Further Assumptionsmentioning

confidence: 99%

Performance Evaluation of Network Mobility Handover over Future Aeronautical Data Link

Ayaz

Hoffmann

Sommer

et al. 2010

2010 IEEE Global Telecommunications Conference GLOBECOM 2010

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The aviation community is currently working on the standardization of data communication systems for the future air traffic management. In this context, International Civil Aviation Organization (ICAO) has initiated a work on standardization of an IPv6-based aeronautical telecommunications network and on future radio access technologies, respectively. In this paper, we integrate L-Band Digital Aeronautical Communications System Option 1 (L-DACS 1), which is one candidate for future radio access technologies, with realistic IPv6-based network layer functionality and analyze the effect of handover delay to the TCP performance. Realistic Frame Error Rate (FER) values obtained from an L-DACS 1 physical layer simulator, which uses a realistic aeronautical channel model, are used in the simulation experiments. In the first stage, we decreased layer 3 handover latency by removing the Duplicate Address Detection (DAD) procedure for address configuration. In the second stage, we introduced a Home Agent (HA)-buffering method, which is used to buffer the traffic (destined to the mobile node) during handover. Transmission completion time is the primary performance metric in our analysis. With the HA-buffering method, the transmission completion time is reduced by at least 10% for the transmission of 110 kB of information over a wireless link with 31.5 kbit s −1 data rate.

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“…We employ a mechanism namely OptiNets RO proposed [3] and implemented [4] in our previous work to enable optimal routing between the Mobile Cache Servers and their Correspondent Nodes. This method relies on the Mobile Router to provide the foreign network prefix to the Mobile Network Nodes.…”

Section: Background and Related Workmentioning

confidence: 99%

Bandwidth fuelling for network mobility

Perera

Petander

Seneviratne

2006

2006 IFIP International Conference on Wireless and Optical Communications Networks

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Measuring and Improving the Performance of Network Mobility Management in IPv6 Networks

Cited by 70 publications

References 13 publications

Route optimization in network mobility: Solutions, classification, comparison, and future research directions

Route optimization in network mobility: Solutions, classification, comparison, and future research directions

Performance Evaluation of Network Mobility Handover over Future Aeronautical Data Link

Bandwidth fuelling for network mobility

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