Hdl Handle:
http://hdl.handle.net/10545/620814
Title:
Multi-sensor data fusion in wireless sensor networks for planetary exploration
Authors:
Zhai, Xiaojun ( 0000-0002-1030-8311 ) ; Jing, Hongyuan; Vladimirova, Tanya
Abstract:
The SWIPE (Space Wireless Sensor Networks for Planetary Exploration) project uses Wireless Sensor Networks (WSN) to characterise the surface of the Moon. The envisaged scenario is that hundreds of small wireless sensor nodes dropped onto the Moon surface will collect scientific measurements. An ad-hoc WSN connecting these nodes will propagate the measurement data to sink nodes for uploading to a lunar orbiter and a subsequent transmission to Earth. The data gathered from the sensors will be processed using state-of-the-art data fusion techniques to overcome the restricted energy and bandwidth resources. In this paper, we first provide a short survey of classical data fusion techniques for WSNs. We then introduce data fusion architectures for the SWIPE project. Building on this, we propose data processing algorithms that enable energy conservation and processing efficiency in the proposed SWIPE architectures. The proposed algorithms are evaluated via a series of simulation models. The results show that the proposed algorithms can efficiently reduce the amount of the transmitted scientific data providing a good level of accuracy in the data reconstruction. Furthermore, they are able to correctly evaluate the node health status.
Affiliation:
University of Derby; University of Leicester
Citation:
Zhai, X. et al. (2014) 'Multi-sensor data fusion in wireless sensor networks for planetary exploration', Proceedings of the 2014 NASA/ESA Conference on Adaptive Hardware and Systems (AHS-2014), Leicester, UK, 14-17 July
Publisher:
IEEE
Journal:
Proceedings of the 2014 NASA/ESA Conference on Adaptive Hardware and Systems (AHS-2014)
Issue Date:
14-Jul-2014
URI:
http://hdl.handle.net/10545/620814
DOI:
10.1109/AHS.2014.6880176
Additional Links:
http://ieeexplore.ieee.org/document/6880176/; http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6874772; http://www2.le.ac.uk/conference/previous/ahs2014
Type:
Meetings and Proceedings
Language:
en
ISBN:
9781479953561
Appears in Collections:
Department of Electronics, Computing & Maths

Full metadata record

DC FieldValue Language
dc.contributor.authorZhai, Xiaojunen
dc.contributor.authorJing, Hongyuanen
dc.contributor.authorVladimirova, Tanyaen
dc.date.accessioned2016-11-11T16:20:35Z-
dc.date.available2016-11-11T16:20:35Z-
dc.date.issued2014-07-14-
dc.identifier.citationZhai, X. et al. (2014) 'Multi-sensor data fusion in wireless sensor networks for planetary exploration', Proceedings of the 2014 NASA/ESA Conference on Adaptive Hardware and Systems (AHS-2014), Leicester, UK, 14-17 Julyen
dc.identifier.isbn9781479953561-
dc.identifier.doi10.1109/AHS.2014.6880176-
dc.identifier.urihttp://hdl.handle.net/10545/620814-
dc.description.abstractThe SWIPE (Space Wireless Sensor Networks for Planetary Exploration) project uses Wireless Sensor Networks (WSN) to characterise the surface of the Moon. The envisaged scenario is that hundreds of small wireless sensor nodes dropped onto the Moon surface will collect scientific measurements. An ad-hoc WSN connecting these nodes will propagate the measurement data to sink nodes for uploading to a lunar orbiter and a subsequent transmission to Earth. The data gathered from the sensors will be processed using state-of-the-art data fusion techniques to overcome the restricted energy and bandwidth resources. In this paper, we first provide a short survey of classical data fusion techniques for WSNs. We then introduce data fusion architectures for the SWIPE project. Building on this, we propose data processing algorithms that enable energy conservation and processing efficiency in the proposed SWIPE architectures. The proposed algorithms are evaluated via a series of simulation models. The results show that the proposed algorithms can efficiently reduce the amount of the transmitted scientific data providing a good level of accuracy in the data reconstruction. Furthermore, they are able to correctly evaluate the node health status.en
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/document/6880176/en
dc.relation.urlhttp://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6874772en
dc.relation.urlhttp://www2.le.ac.uk/conference/previous/ahs2014en
dc.subjectWireless sensor networksen
dc.subjectData integrationen
dc.subjectTemperature measurementen
dc.titleMulti-sensor data fusion in wireless sensor networks for planetary explorationen
dc.typeMeetings and Proceedingsen
dc.contributor.departmentUniversity of Derbyen
dc.contributor.departmentUniversity of Leicesteren
dc.identifier.journalProceedings of the 2014 NASA/ESA Conference on Adaptive Hardware and Systems (AHS-2014)en
All Items in UDORA are protected by copyright, with all rights reserved, unless otherwise indicated.