Network Mobility Route Optimization Solution Space Analysis

Watari, Masafumi; Ng, Chan-Wah; Fan, Zhen; Thubert, Pascal

doi:10.17487/rfc4889

Cited by 72 publications

(41 citation statements)

References 10 publications

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“…The load on the infrastructure imposed by NEMO BSP due to tunneling and the consumption of the network resources by the route optimization schemes have been discussed in RFC 4888 [2] and RFC 4889 [3], respectively. There have been a few of works on cost analysis of NEMO BSP and similar protocols.…”

Section: Literature Reviewmentioning

confidence: 99%

“…An overview of the schemes can be found in [3][4][5]. The schemes trade off between the degree of route optimization…”

Section: Introductionmentioning

confidence: 99%

“…We use the term network mobility cost to refer to those costs incurred for sending packets to the hosts inside a mobile network. The notion of costs used in this paper refers to the use of resources mentioned in [2], [3], and is a number-only relative measure for the schemes; the higher the number, the higher the cost.…”

Section: Introductionmentioning

confidence: 99%

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A Cost Analysis Framework for NEMO Prefix Delegation-Based Schemes

Shahriar

Hossain

Atiquzzaman

2012

IEEE Trans. on Mobile Comput.

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Abstract-Network Mobility (NEMO) is coined for the efficient mobility management of multiple nodes which are moving together as a mobile network. A major limitation of the basic protocol in NEMO is the inefficient route for communication. A number of prefix delegation-based schemes have been proposed in the literature to solve the route optimization problem in NEMO. Approaches used by the schemes trade off delivery of packets through the partially-optimized route with signaling and other processing overheads. Cost of delivering packets through the partially-optimized route along with signaling and other processing cost need to be measured to find out the gain from tradeoff. However, cost analysis performed so far on NEMO protocols consider only the cost of signaling. In this paper, we have developed analytical framework to measure the costs of the basic protocol for NEMO, and four representative prefix delegation-based schemes. Our results show that cost of packet delivery through the partially-optimized route dominates over other costs. Therefore, optimizing the route completely is preferable to reduction of signaling as far as cost of network mobility is concerned. Our framework will help in visualizing the effects of future network expansion on the cost of route optimization schemes of NEMO.

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Section: Literature Reviewmentioning

confidence: 99%

“…An overview of the schemes can be found in [3][4][5]. The schemes trade off between the degree of route optimization…”

Section: Introductionmentioning

confidence: 99%

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A Cost Analysis Framework for NEMO Prefix Delegation-Based Schemes

Shahriar

Hossain

Atiquzzaman

2012

IEEE Trans. on Mobile Comput.

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“…III-A raises several issues that were reported in [36] addition to header overhead (II-C) and Intra RO (III-A) issues as given below. MRs, and CNs are transparent to location change.…”

Section: B Issues In Romentioning

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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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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“…improvement in QoS (such as reduced jitter, delay and packet loss) [3]. Updating both HA and CN with the NCoA is cryptographically secured.…”

mentioning

confidence: 99%

Proactive Route Optimization for Fast Mobile IPv6

Espi

Atkinson

Andonović

et al. 2009

2009 IEEE 70th Vehicular Technology Conference Fall

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Abstract-The Fast Handovers for Mobile IPv6 (FMIPv6) protocol was developed from the experience of MIPv6 and the facilities provided by link layer triggers, allowing for a proactive approach to handover that minimises packet exchange delay and packet loss. After handover, the mobile node may carry out Return Routability with the correspondent node(s) for route optimization. However, this method leaves scope to optimize handover delays derived from the signalling message exchange. This paper proposes an enhancement to FMIPv6, the Proactive Route Optimization for FMIPv6 (PRO-FMIPv6) protocol, which significantly reduces the signalling and thereby improves the overall performance of the handover process. Simulation results suggest a delay reduction up to 50% over other current proposals: the FMIPv6 protocol, Enhanced Route Optimization and Proactive Bindings for FMIPv6.

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Network Mobility Route Optimization Solution Space Analysis

Cited by 72 publications

References 10 publications

A Cost Analysis Framework for NEMO Prefix Delegation-Based Schemes

A Cost Analysis Framework for NEMO Prefix Delegation-Based Schemes

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

Proactive Route Optimization for Fast Mobile IPv6

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