Design and Evaluation of a Novel HIP-Based Network Mobility Protocol

Nováczki, Szabolcs; Bokor, László; Jeney, Gábor; Imre, Sándor

doi:10.4304/jnw.3.1.10-24

Cited by 28 publications

(18 citation statements)

References 40 publications

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“…Independently managing all endto-end associations between MNNs and CNs results in increased complexity and significant cost. For this reason, the HIP-based network mobility management solutions proposed thus far [4][5][6] are based on the delegation of signaling rights concept [7]. This concept refers to the procedure in which a node authorizes another node to perform signaling procedures on its behalf.…”

Section: Related Studymentioning

confidence: 99%

“…Based on this overview, in Section 3 we present our approach, NeMHIP, which is designed to efficiently and securely manage network mobility in ITS scenarios. Section 4 describes the analytical models developed and the assessment conducted to demonstrate that NeMHIP fully satisfies the efficiency requirement of the ITS context because the generated signaling cost over the wireless link is reduced compared with that of other approaches [4]. In Section 5, we present our concluding remarks.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, since wireless access links are used in a network mobility scenario, the amount of signaling transmitted over these links is considered a good parameter for evaluating the efficiency of the signaling protocol. We have defined a mathematical model to compute the signaling cost of NeMHIP, measured in bytes per time unit, and have compared it with the most complete network mobility management solution based on HIP built over the delegation of signaling rights paradigm, that is HIP-NEMO [4].…”

Section: Analytical Signaling Cost Evaluationmentioning

confidence: 99%

See 2 more Smart Citations

Analytical efficiency evaluation of a network mobility management protocol for Intelligent Transportation Systems

Toledo

Higuero

Astorga

et al. 2012

J Wireless Com Network

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One of the major concerns in an Intelligent Transportation System (ITS) scenario, such as that which may be found on a long-distance train service, is the provision of efficient communication services, satisfying users' expectations, and fulfilling even highly demanding application requirements, such as safety-oriented services. In an ITS scenario, it is common to have a significant amount of onboard devices that comprise a cluster of nodes (a mobile network) that demand connectivity to the outside networks. This demand has to be satisfied without service disruption. Consequently, the mobility of the mobile network has to be managed. Due to the nature of mobile networks, efficient and lightweight protocols are desired in the ITS context to ensure adequate service performance. However, the security is also a key factor in this scenario. Since the management of the mobility is essential for providing communications, the protocol for managing this mobility has to be protected. Furthermore, there are safety-oriented services in this scenario, so user application data should also be protected. Nevertheless, providing security is expensive in terms of efficiency. Based on this considerations, we have developed a solution for managing the network mobility for ITS scenarios: the NeMHIP protocol. This approach provides a secure management of network mobility in an efficient manner. In this article, we present this protocol and the strategy developed to maintain its security and efficiency in satisfactory levels. We also present the developed analytical models to analyze quantitatively the efficiency of the protocol. More specifically, we have developed models for assessing it in terms of signaling cost, which demonstrates that NeMHIP generates up to 73.47% less signaling compared to other relevant approaches. Therefore, the results obtained demonstrate that NeMHIP is the most efficient and secure solution for providing communications in mobile network scenarios such as in an ITS context.

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Section: Related Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Analytical Signaling Cost Evaluationmentioning

confidence: 99%

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Analytical efficiency evaluation of a network mobility management protocol for Intelligent Transportation Systems

Toledo

Higuero

Astorga

et al. 2012

J Wireless Com Network

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“…g) HIP-based: A Host Identification Protocol (HIP)-based route optimization is proposed by Novaczki et al [10], [11]. Like MRs in other schemes in delegation class, the mobile Rendezvous Servers (mRSVs) in HIP-NEMO obtain a prefix from the foreign network, and delegate parts of the prefix to attached mRSVs to advertise inside the mobile network which they are in.…”

Section: F) Optimal Path Registration (Opr)mentioning

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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“…Although prefix delegation-based schemes [6][7][8][9][10][11][12][13][14] follow a common approach of delegating prefixes, they differ in degree of optimizing route and the amount of signaling depending on the type of nodes, and in the way prefix is delegated. These differences affect the performance of the schemes, and the overheads arising from the performance gain.…”

Section: Introductionmentioning

confidence: 99%

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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Design and Evaluation of a Novel HIP-Based Network Mobility Protocol

Cited by 28 publications

References 40 publications

Analytical efficiency evaluation of a network mobility management protocol for Intelligent Transportation Systems

Analytical efficiency evaluation of a network mobility management protocol for Intelligent Transportation Systems

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

A Cost Analysis Framework for NEMO Prefix Delegation-Based Schemes

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