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
Characterizing the traffic load distribution in dense sensor networks
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media. (STC, MediaSense, SensorNetworkSecurity, SensibleReality)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media. (STC, MediaSense, SensorNetworkSecurity, SensibleReality)
2009 (English)In: 3rd International Conference on New Technologies, Mobility and Security, NTMS 2009, IEEE conference proceedings, 2009, p. 5384829-Conference paper, Published paper (Refereed)
Abstract [en]

Traffic load is not evenly distributed over the nodes in a wireless sensor network (WSN). Understanding the traffic load distribution can guide the network-wide energy allocation, direct the design of routing algorithms, and optimize the node deployment in WSNs. In this paper, we consider a dense WSN with nodes uniformly distributed in a disk sensing area, and find the traffic load distribution over the nodes as a function of their distance from the sink. Further, the effects of network scale and routing strategy on traffic load are also investigated. The traffic loads on individual nodes are found to be in direct proportion to the radius of the network and in inverse proportion to the routing hop distance, while independent of network density. The results presented in this paper are verified through extensive simulation experiments.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2009. p. 5384829-
Keywords [en]
Traffic load distribution; Wireless sensor network
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:miun:diva-10285DOI: 10.1109/NTMS.2009.5384829Scopus ID: 2-s2.0-77949815295ISBN: 978-142446273-5 (print)OAI: oai:DiVA.org:miun-10285DiVA, id: diva2:275874
Conference
3rd International Conference on New Technologies, Mobility and Security, NTMS 2009; Cairo; 20 December 2009 through 23 December 2009
Projects
STCAvailable from: 2009-11-09 Created: 2009-11-09 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: 1230 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