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Bottleneck Zone Analysis in Energy-Constrained Wireless Sensor Networks
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media. (SensorNetworkSecurity, SensibleReality)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media. (SensorNetworkSecurity, SensibleReality)
2009 (English)In: IEEE Communications Letters, ISSN 1089-7798, E-ISSN 1558-2558, Vol. 13, no 6, 423-425 p.Article in journal (Refereed) Published
Abstract [en]

In a typical sensor network, nodes around the sink bear more energy consumption than those further away. It is not unusual that limited energy resources available at the nodes around the sink become the bottleneck which confines the whole network's performance. In this article, we firstly formally define the so-called bottleneck zone inside sensor networks. Then, the effect of the bottleneck zone on network performance is investigated by deducting performance bounds limited by the energy resources available inside the bottleneck zone. In this article, both the performance bound in terms of network lifetime and the performance bound in terms of information collection are explored. Finally, the ways by which network deployment parameters may affect the performance bounds are analyzed.

Place, publisher, year, edition, pages
2009. Vol. 13, no 6, 423-425 p.
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:miun:diva-8163DOI: 10.1109/LCOMM.2009.090119ISI: 000267064800019Scopus ID: 2-s2.0-67650658161OAI: oai:DiVA.org:miun-8163DiVA: diva2:133384
Projects
STC - Sensible Things that Communicate
Available from: 2009-01-09 Created: 2009-01-09 Last updated: 2017-10-09Bibliographically 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. 120 p.
Series
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 78
Keyword
Wireless sensor network, traffic analysis, network optimization, anomaly detection
National Category
Information Science
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: 2010-01-26Bibliographically approved

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