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Multilayer and multi-agent data fusion in WSN
Nanchang Hangkong Univ, Sch Informat Engn, Nanchang, Peoples R China.;Dalarna Univ, Business Intelligence & Informat, Borlange, Sweden..
Nanchang Hangkong Univ, Sch Informat Engn, Nanchang, Peoples R China..
Nanchang Hangkong Univ, Sch Informat Engn, Nanchang, Peoples R China..
Dalarna University, School of Technology and Business Studies, Information Systems.ORCID iD: 0000-0003-3681-8173
2015 (English)In: Web Information Systems Engineering – WISE 2014 Workshops: 15th International Workshops IWCSN 2014, Org2 2014, PCS 2014, and QUAT 2014, Thessaloniki, Greece, October 12-14, 2014, Revised Selected Papers / [ed] Boualem Benatallah, Azer Bestavros, Barbara Catania, Armin Haller, Yannis Manolopoulos, Athena Vakali, Yanchun Zhang, 2015, Vol. 9051, 211-225 p.Conference paper (Refereed)
Abstract [en]

In the wireless sensor networks, the hardware limitations of sensor nodes cause high transmission failure rate. We usually increase the density of nodes to improve the quality of information transmission. However, it is difficult for the limited energy supply, storage, and communication bandwidth to transfer large amount of redundant sensory data. So we use data fusion technology to remove the redundant data as much as possible before the data transmission. Data fusion becomes a research hotspot in recent years. In this paper we propose a multilayer and multi-agent data fusion mode, and analyze the proposed mode performance in three aspects: hops, energy consumption and network delay. The simulation experiments show that, if reasonably suitable parameters, such as the network scale, the number and size of agents, the data processing cost, are selected, the mobile agent mode is much better than the client/server mode.

Place, publisher, year, edition, pages
2015. Vol. 9051, 211-225 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 9051
Keyword [en]
wireless sensor networks, data fusion, multilayer, multi-agent
National Category
Computer Science
Research subject
Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-20283DOI: 10.1007/978-3-319-20370-6_17ISI: 000363774800017ISBN: 978-3-319-20370-6 ISBN: 978-3-319-20369-0 OAI: oai:DiVA.org:du-20283DiVA: diva2:873064
Conference
15th International Conference on Web Information Systems Engineering (WISE), OCT 12-14, 2014, Thessaloniki, GREECE
Available from: 2015-11-23 Created: 2015-11-23 Last updated: 2017-03-31Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
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More styles
Language
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