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Scalable wireless sensor networks for dynamic communication environments: simulation and modelling

Scalable wireless sensor networks for dynamic communication environments: simulation and modelling
Scalable wireless sensor networks for dynamic communication environments: simulation and modelling
This thesis explores the deployment of Wireless Sensor Networks (WSNs) on localised maritime events. In particular, it will focus on the deployment of a WSN at sea and estimating what challenges derive from the environment and how they affect communication. This research addresses these challenges through simulation and modelling of communication and environment, evaluating the implications of hardware selection and custom algorithm development. The first part of this thesis consists of the analysis of aspects related to the Medium Access Control layer of the network stack in large-scale networks. These details are commonly hidden from upper layers, thus resulting in misconceptions of real deployment characteristics. Results show that simple solutions have greater advantages when the number of nodes within a cluster increases. The second part considers routing techniques, with focus on energy management and packet delivery. It is shown that, under certain conditions, relaying data can increase energy savings, while at the same time allows a more even distribution of its usage between nodes. The third part describes the development of a custom-made network simulator. It starts by considering realistic radio, channel and interference models to allow a trustworthy simulation of the deployment environment. The MAC and Routing techniques developed thus far are adapted to the simulator in a cross-layer manner. The fourth part consists of adapting the WSN behaviour to the variable weather and topology found in the chosen application scenario. By analysing the algorithms presented in this work, it is possible to find and use the best alternative under any set of environmental conditions. This mechanism, the environment-aware engine, uses both network and sensing data to optimise performance through a set of rules that involve message delivery and distance between origin and cluster head
Barbosa, Pedro
18f265b5-6d18-4cb7-ad34-830c2415f261
Barbosa, Pedro
18f265b5-6d18-4cb7-ad34-830c2415f261
White, Neil
c7be4c26-e419-4e5c-9420-09fc02e2ac9c
Harris, Nicholas
237cfdbd-86e4-4025-869c-c85136f14dfd

Barbosa, Pedro (2011) Scalable wireless sensor networks for dynamic communication environments: simulation and modelling. University of Southampton, School of Electronics and Computer Science, Doctoral Thesis, 207pp.

Record type: Thesis (Doctoral)

Abstract

This thesis explores the deployment of Wireless Sensor Networks (WSNs) on localised maritime events. In particular, it will focus on the deployment of a WSN at sea and estimating what challenges derive from the environment and how they affect communication. This research addresses these challenges through simulation and modelling of communication and environment, evaluating the implications of hardware selection and custom algorithm development. The first part of this thesis consists of the analysis of aspects related to the Medium Access Control layer of the network stack in large-scale networks. These details are commonly hidden from upper layers, thus resulting in misconceptions of real deployment characteristics. Results show that simple solutions have greater advantages when the number of nodes within a cluster increases. The second part considers routing techniques, with focus on energy management and packet delivery. It is shown that, under certain conditions, relaying data can increase energy savings, while at the same time allows a more even distribution of its usage between nodes. The third part describes the development of a custom-made network simulator. It starts by considering realistic radio, channel and interference models to allow a trustworthy simulation of the deployment environment. The MAC and Routing techniques developed thus far are adapted to the simulator in a cross-layer manner. The fourth part consists of adapting the WSN behaviour to the variable weather and topology found in the chosen application scenario. By analysing the algorithms presented in this work, it is possible to find and use the best alternative under any set of environmental conditions. This mechanism, the environment-aware engine, uses both network and sensing data to optimise performance through a set of rules that involve message delivery and distance between origin and cluster head

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More information

Published date: February 2011
Organisations: University of Southampton

Identifiers

Local EPrints ID: 177575
URI: https://eprints.soton.ac.uk/id/eprint/177575
PURE UUID: d73780ac-532e-4a6e-83b5-4dfdfe217e3e
ORCID for Neil White: ORCID iD orcid.org/0000-0003-1532-6452
ORCID for Nicholas Harris: ORCID iD orcid.org/0000-0003-4122-2219

Catalogue record

Date deposited: 20 May 2011 10:37
Last modified: 06 Jun 2018 13:12

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Contributors

Author: Pedro Barbosa
Thesis advisor: Neil White ORCID iD
Thesis advisor: Nicholas Harris ORCID iD

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