miun.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Fair energy allocation in large-scale and dense sensor networks
Department of Electronics and Telecommunications, Norwegian University of Science and Technology (NTNU), NO-7491 Trondheim, Norway.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media. (Sensor Network Security, STC, SR)
2010 (English)In: GLOBECOM - IEEE Global Telecommunications Conference, IEEE conference proceedings, 2010, article id 5683414Conference paper, Published paper (Refereed)
Abstract [en]

This paper deals with the energy allocation in multi-hop wireless sensor networks. Because the traffic loads are not evenly distributed in a multi-hop wireless sensor network, different sensor nodes usually experience different energy consumption rates. We present Routing Independent Fair Energy-Allocation Scheme (RIFES), which allocates the available energy resource to a sensor node according to its pre-estimated traffic load. Because traffic load is the dominating source of energy consumption, RIFES optimizes the network's lifetime by equalizing all individual nodes' expected energy exhaustion times. Due to the fact that a node's real experienced traffic load may differ to its pre-estimated traffic load in practice, it is hard for RIFES to achieve its theoretical optimal performance. To bridge this gap between theory and practice, this paper also presents several distributed routing algorithms, the use of which prolongs the network's lifetime by balancing the real-experienced traffic loads among neighboring nodes

Place, publisher, year, edition, pages
IEEE conference proceedings, 2010. article id 5683414
Keywords [en]
Available energy; Distributed routing; Distributed routing algorithm; Energy allocation; Energy allocations; Energy consumption rates; Expected energy; Multihop; Neighboring nodes; Optimal performance; Source of energy; Theory and practice; Traffic load distribution; Traffic loads
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:miun:diva-11173DOI: 10.1109/GLOCOM.2010.5683414Scopus ID: 2-s2.0-79551653221ISBN: 978-1-4244-5636-9 (print)OAI: oai:DiVA.org:miun-11173DiVA, id: diva2:290237
Conference
53rd IEEE Global Communications Conference, GLOBECOM 2010; Miami, FL; 6 December 2010 through 10 December 2010
Available from: 2010-01-26 Created: 2010-01-26 Last updated: 2018-01-12Bibliographically approved
In thesis
1. Traffic Analysis, Modeling and Their Applications in Energy-Constrained Wireless Sensor Networks: On Network Optimization and Anomaly Detection
Open this publication in new window or tab >>Traffic Analysis, Modeling and Their Applications in Energy-Constrained Wireless Sensor Networks: On Network Optimization and Anomaly Detection
2010 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Wireless sensor network (WSN) has emerged as a promising technology thanks to the recent advances in electronics, networking, and information processing. A wide range of WSN applications have been proposed such as habitat monitoring, environmental observations and forecasting systems, health monitoring, etc. In these applications, many low power and inexpensive sensor nodes are deployed in a vast space to cooperate as a network.

Although WSN is a promising technology, there is still a great deal of additional research required before it finally becomes a mature technology. This dissertation concentrates on three factors which are holding back the development of WSNs. Firstly, there is a lack of traffic analysis & modeling for WSNs. Secondly, network optimization for WSNs needs more investigation. Thirdly, the development of anomaly detection techniques for WSNs remains a seldomly touched area.

In the field of traffic analysis & modeling for WSNs, this dissertation presents several ways of modeling different aspects relating to WSN traffic, including the modeling of sequence relations among arriving packets, the modeling of a data traffic arrival process for an event-driven WSN, and the modeling of a traffic load distribution for a symmetric dense WSN. These research results enrich the current understanding regarding the traffic dynamics within WSNs, and provide a basis for further work on network optimization and anomaly detection for WSNs.

In the field of network optimization for WSNs, this dissertation presents network optimization models from which network performance bounds can be derived. This dissertation also investigates network performances constrained by the energy resources available in an indentified bottleneck zone. For a symmetric dense WSN, an optimal energy allocation scheme is proposed to minimize the energy waste due to the uneven energy drain among sensor nodes. By modeling the interrelationships among communication traffic, energy consumption and WSN performances, these presented results have efficiently integrated the knowledge on WSN traffic dynamics into the field of network optimization for WSNs.

Finally, in the field of anomaly detection for WSNs, this dissertation uses two examples to demonstrate the feasibility and the ease of detecting sensor network anomalies through the analysis of network traffic. The presented results will serve as an inspiration for the research community to develop more secure and more fault-tolerant WSNs.

Place, publisher, year, edition, pages
Sundsvall: Tryckeriet Mittuniversitetet, 2010. p. 120
Series
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 78
Keywords
Wireless sensor network, traffic analysis, network optimization, anomaly detection
National Category
Information Systems
Identifiers
urn:nbn:se:miun:diva-10690 (URN)978-91-86073-64-0 (ISBN)
Public defence
2010-02-03, L111, Mittuniversitetet, Holmgatan 10, 85170 Sundsvall, Sundsvall, 10:00 (English)
Opponent
Supervisors
Projects
STC
Available from: 2010-01-26 Created: 2009-12-16 Last updated: 2018-01-12Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Wang, QinghuaZhang, Tingting

Search in DiVA

By author/editor
Wang, QinghuaZhang, Tingting
By organisation
Department of Information Technology and Media
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 700 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf