uu.seUppsala University Publications
Change search
ReferencesLink to record
Permanent link

Direct link
Energy-efficient sensor selection for data quality and load balancing in wireless sensor networks
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science. (ASTRA)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems. (Mobility)
2014 (English)In: Proc. 22nd International Symposium on Quality of Service, IEEE Communications Society, 2014, 338-343 p.Conference paper (Refereed)
Place, publisher, year, edition, pages
IEEE Communications Society, 2014. 338-343 p.
National Category
Computer Science
URN: urn:nbn:se:uu:diva-229594DOI: 10.1109/IWQoS.2014.6914338ISI: 000355927000044ISBN: 978-1-4799-4852-9OAI: oai:DiVA.org:uu-229594DiVA: diva2:737114
IWQoS 2014, May 26–27, Hong Kong, China
Swedish Foundation for Strategic Research , RIT08-0065
Available from: 2014-05-27 Created: 2014-08-11 Last updated: 2015-08-26Bibliographically approved
In thesis
1. Constraint Programming for Wireless Sensor Networks
Open this publication in new window or tab >>Constraint Programming for Wireless Sensor Networks
2015 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

In recent years, wireless sensor networks (WSNs) have grown rapidly and have had a substantial impact in many applications. A WSN is a network that consists of interconnected autonomous nodes that monitor physical and environmental conditions, such as temperature, humidity, pollution, etc. If required, nodes in a WSN can perform actions to affect the environment.

WSNs present an interesting and challenging field of research due to the distributed nature of the network and the limited resources of the nodes. It is necessary for a node in a WSN to be small to enable easy deployment in an environment and consume as little energy as possible to prolong its battery lifetime. There are many challenges in WSNs, such as programming a large number of nodes, designing communication protocols, achieving energy efficiency, respecting limited bandwidth, and operating with limited memory. WSNs are further constrained due to the deployment of the nodes in indoor and outdoor environments and obstacles in the environment.

In this dissertation, we study some of the fundamental optimisation problems related to the programming, coverage, mobility, data collection, and data loss of WSNs, modelled as standalone optimisation problems or as optimisation problems integrated with protocol design. Our proposed solution methods come from various fields of research including constraint programming, integer linear programming, heuristic-based algorithms, and data inference techniques.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2015. 80 p.
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 1219
Constraint programming, wireless sensor networks, optimisation, macroprogramming, task mapping
National Category
Computer Science
Research subject
Computer Science with specialization in Computer Communication
urn:nbn:se:uu:diva-241378 (URN)978-91-554-9144-4 (ISBN)
Public defence
2015-03-13, Room 2446, Polacksbacken, Lägerhyddsvägen 2, Uppsala, 13:00 (English)
Available from: 2015-02-06 Created: 2015-01-12 Last updated: 2015-03-19Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Hassani Bijarbooneh, FarshidNgai, Edith
By organisation
Computing ScienceComputer Systems
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 491 hits
ReferencesLink to record
Permanent link

Direct link