Develop A Web-Based Visualisation Platform for Wireless Sensor Network Generation

Han, B; Kong, X; Sandrasegaran, K; Liu, L

Develop A Web-Based Visualisation Platform for Wireless Sensor Network Generation

Han, B Kong, X

Sandrasegaran, K

Liu, L

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Publication Type:: Conference Proceeding
Citation:: ISCIT 2018 - 18th International Symposium on Communication and Information Technology, 2018, pp. 105 - 109
Issue Date:: 2018-12-24

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Field	Value	Language
dc.contributor.author	Han, B	en_US
dc.contributor.author	Kong, X https://orcid.org/0000-0001-7855-858X	en_US
dc.contributor.author	Sandrasegaran, K https://orcid.org/0000-0003-1270-5756	en_US
dc.contributor.author	Liu, L	en_US
dc.date.issued	2018-12-24	en_US
dc.identifier.citation	ISCIT 2018 - 18th International Symposium on Communication and Information Technology, 2018, pp. 105 - 109	en_US
dc.identifier.isbn	9781538684580	en_US
dc.identifier.uri	http://hdl.handle.net/10453/127874
dc.description.abstract	© 2018 IEEE. Wireless sensors provide services and collect data from environment. Some Wireless Sensor Networks (WSN) demand high-Assurance performance such as WSN for military observation. To achieve the expected assurance, WSN constructors deploy the sensors in an experiential manner or using massive redundant nodes which leads to low efficiency and waste of sensor devices due to the unreasonable sensor layout. Although a number of approaches using mathematical algorithms are proposed trying to solve the sensor deployment location and efficiency issues, it still remains very difficult for WSN constructors without mathematical background to utilise these algorithms in calculating sensor positions during the deployment. This paper developed an approach using visualisation platform to make the WSN generation algorithms visible and understandable to constructors. It allows algorithm contributors register their algorithms and enables constructors to explore these algorithms through visualising the calculation configuration and results. An algorithm is implemented to verify the platform in this paper. As more algorithms register in the platform, constructors may have more options to conduct the high-Assurance WSN generation.	en_US
dc.relation.ispartof	ISCIT 2018 - 18th International Symposium on Communication and Information Technology	en_US
dc.relation.isbasedon	10.1109/ISCIT.2018.8588002	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Develop A Web-Based Visualisation Platform for Wireless Sensor Network Generation	en_US
dc.type	Conference Proceeding
utslib.for	0803 Computer Software	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2018 IEEE. Wireless sensors provide services and collect data from environment. Some Wireless Sensor Networks (WSN) demand high-Assurance performance such as WSN for military observation. To achieve the expected assurance, WSN constructors deploy the sensors in an experiential manner or using massive redundant nodes which leads to low efficiency and waste of sensor devices due to the unreasonable sensor layout. Although a number of approaches using mathematical algorithms are proposed trying to solve the sensor deployment location and efficiency issues, it still remains very difficult for WSN constructors without mathematical background to utilise these algorithms in calculating sensor positions during the deployment. This paper developed an approach using visualisation platform to make the WSN generation algorithms visible and understandable to constructors. It allows algorithm contributors register their algorithms and enables constructors to explore these algorithms through visualising the calculation configuration and results. An algorithm is implemented to verify the platform in this paper. As more algorithms register in the platform, constructors may have more options to conduct the high-Assurance WSN generation.

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http://hdl.handle.net/10453/127874