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Delay tolerance for constrained IPv6 networks

Delay tolerance for constrained IPv6 networks
Delay tolerance for constrained IPv6 networks
Low power sensor networks have traditionally been regarded as not having the capabilities required to connect them to the internet. New research into the Internet of Things has challenged this concept and is opening up new possibilities for sensor network capabilities. Environmental sensor networks are just one of the areas which will greatly benefit from this connectivity improvement. However, there are many challenges to be solved in order to make full and efficient use of these advancements.
One of the major challenges which has been identified is the lack of connectivity when sensors are in low power sleep states. Previous solutions for low power devices have relied on application layer gateways to proxy communications to the sensors, but this restricts the flexibility of the network as it is limited to the capabilities of the proxy. Delay Tolerant Networking (DTN) offers a solution to this problem by allowing sensors to respond and handle communications at their convenience.
This thesis presents and evaluates a novel method and implementation of Delay Tolerant Networking using IPv6 extension headers. The proposed DTN extension header is found to have a significantly lower packet size overhead than other DTN protocols. In addition, the protocol and systems to support it are entirely backwards and forwards compatible with the existing internet infrastructure allowing for it to be incorporated into existing deployments. The developed protocol forms a new state of the art for DTN on constrained sensor networks using end to end IP connectivity. Using this, a new range of low power IoT devices can be developed, featuring long battery lives and reliable connectivity.
University of Southampton
Ward, Tyler
46cd6c5f-7c40-42cc-90f9-b6eea8638e3d
Ward, Tyler
46cd6c5f-7c40-42cc-90f9-b6eea8638e3d
Martinez, Kirk
5f711898-20fc-410e-a007-837d8c57cb18

Ward, Tyler (2017) Delay tolerance for constrained IPv6 networks. University of Southampton, Doctoral Thesis, 133pp.

Record type: Thesis (Doctoral)

Abstract

Low power sensor networks have traditionally been regarded as not having the capabilities required to connect them to the internet. New research into the Internet of Things has challenged this concept and is opening up new possibilities for sensor network capabilities. Environmental sensor networks are just one of the areas which will greatly benefit from this connectivity improvement. However, there are many challenges to be solved in order to make full and efficient use of these advancements.
One of the major challenges which has been identified is the lack of connectivity when sensors are in low power sleep states. Previous solutions for low power devices have relied on application layer gateways to proxy communications to the sensors, but this restricts the flexibility of the network as it is limited to the capabilities of the proxy. Delay Tolerant Networking (DTN) offers a solution to this problem by allowing sensors to respond and handle communications at their convenience.
This thesis presents and evaluates a novel method and implementation of Delay Tolerant Networking using IPv6 extension headers. The proposed DTN extension header is found to have a significantly lower packet size overhead than other DTN protocols. In addition, the protocol and systems to support it are entirely backwards and forwards compatible with the existing internet infrastructure allowing for it to be incorporated into existing deployments. The developed protocol forms a new state of the art for DTN on constrained sensor networks using end to end IP connectivity. Using this, a new range of low power IoT devices can be developed, featuring long battery lives and reliable connectivity.

Text
Final thesis - Version of Record
Available under License University of Southampton Thesis Licence.
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More information

Published date: May 2017
Organisations: University of Southampton, Electronics & Computer Science

Identifiers

Local EPrints ID: 411270
URI: http://eprints.soton.ac.uk/id/eprint/411270
PURE UUID: 71f9df41-479d-49d4-b547-46127532bec5
ORCID for Kirk Martinez: ORCID iD orcid.org/0000-0003-3859-5700

Catalogue record

Date deposited: 16 Jun 2017 16:31
Last modified: 14 Mar 2019 01:51

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