DHCPv6 Failover Requirements

Mrugalski, Tomek; Kinnear, Kim

doi:10.17487/rfc7031

Cited by 2 publications

(3 citation statements)

References 3 publications

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“…From the observation, the existing methods work well in a controlled environment (Xi and Cheng-dong, 2017), which is explained in Section 1. In most of the existing methodologies, noise covariance is assumed to be stationary, but it may vary based on the environmental conditions (Mrugalski, 2013). This noise variation factor reduces the accuracy of position estimation.…”

Section: Discussionmentioning

confidence: 99%

An optimal innovation based adaptive estimation Kalman filter for accurate positioning in a vehicular ad-hoc network

Sumithra¹,

Vadivel²

2021

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The vehicular ad-hoc network (VANET) is subject to various attacks because of its dynamic nature and ephemeral character. In VANET, vehicles communicate with each other for safety awareness. The positioning of an unknown vehicle is one of the critical factors to determine the vehicle's trustworthiness. Although some positioning techniques have achieved a high accuracy level in VANET, they suffer from dynamic noise in real-world environments. This drawback leads to inaccuracy and unreliability during vehicle positioning. In this paper, an optimal innovation based adaptive estimation Kalman filter (OIAE-KF) is proposed. This algorithm offers an alternative solution for the basic Kalman filter and the innovation based adaptive estimation Kalman filter (IAE-KF). The proposed algorithm makes use of fusion of the global navigation satellite system (GNSS) and the inertial measurement unit (IMU) to improve its performance. The OIAE-KF works based on the innovation sequence and involves three steps such as establishing the innovation sequence, applying the innovation property, checking the optimality of the Kalman filter and, finally, estimating process noise (Q) and measurement noise (R). An optimal swapping method is introduced for optimality check. The efficiency of the proposed OIAE-KF method is proved by comparing the predictions of the existing methods such as the IAE-KF. The results show that the OIAE-KF performs better than the existing techniques. It improves the accuracy and consistency in VANET positioning.

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Section: Discussionmentioning

confidence: 99%

An optimal innovation based adaptive estimation Kalman filter for accurate positioning in a vehicular ad-hoc network

Sumithra¹,

Vadivel²

2021

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“…Providing address stability across server reinstallations or when a database of previous DHCPv6 address leases is unavailable is of use not only when a DHCPv6 server must be reinstalled or the addresslease database becomes corrupted, but is also of use when implementation constraints (e.g., a DHCPv6 server implementation on an embedded device) make it impossible for a DHCPv6 server implementation to maintain a database of previous DHCPv6 address leases. Additionally, [RFC7031] describes scenarios where multiple DHCPv6 servers are required to run in such a way as to provide increased availability in case of server failures.…”

Section: Introductionmentioning

confidence: 99%

“…The method specified in this document achieves the aforementioned properties by means of a calculated technique as opposed to, e.g., state sharing among DHCPv6 servers. This approach has already been suggested in [RFC7031]. We note that the method described in this document is essentially a DHCPv6 version of the "Method for Generating Semantically Opaque Interface Identifiers with IPv6 Stateless Address Autoconfiguration (SLAAC)" specified in [RFC7217].…”

Section: Introductionmentioning

confidence: 99%

A Method for Generating Semantically Opaque Interface Identifiers (IIDs) with the Dynamic Host Configuration Protocol for IPv6 (DHCPv6)

Liu¹,

Gont²

2016

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This document describes a method for selecting IPv6 Interface Identifiers that can be employed by Dynamic Host Configuration Protocol for IPv6 (DHCPv6) servers when leasing non-temporary IPv6 addresses to DHCPv6 clients. This method is a DHCPv6 server-side algorithm that does not require any updates to the existing DHCPv6 specifications. The aforementioned method results in stable addresses within each subnet, even in the presence of multiple DHCPv6 servers or DHCPv6 server reinstallments. It is a DHCPv6 variant of the method specified in RFC 7217 for IPv6 Stateless Address Autoconfiguration. IESG Note A predecessor to this document was earlier a working group document in the DHC WG. The WG decided to stop further work in this area because such work was not considered useful. The proposal described in this document has an unaddressed failure case that makes it unsuitable for use as the mechanism to provide the claimed failover features for DHCPv6 servers. Specifically, when a DHCPv6 client DECLINEs a provided address there is no recovery mechanism described that will result in the DHCPv6 client obtaining a working IPv6 address.

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DHCPv6 Failover Requirements

Cited by 2 publications

References 3 publications

An optimal innovation based adaptive estimation Kalman filter for accurate positioning in a vehicular ad-hoc network

An optimal innovation based adaptive estimation Kalman filter for accurate positioning in a vehicular ad-hoc network

A Method for Generating Semantically Opaque Interface Identifiers (IIDs) with the Dynamic Host Configuration Protocol for IPv6 (DHCPv6)

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