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An effort to understand the optimal routing performance in wireless sensor network
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media. (SensibleReality, SensorNetworkSecurity)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media. (SensorBasedServices, SensibleReality, SensorNetworkSecurity)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
Responsible organisation
2008 (English)In: Proceedings of the 22nd International Conference on Advanced Information Networking and Applications: AINA2008, Ginowan City , Okinawa, Japan. 25-28 March 2008, IEEE conference proceedings, 2008, 279-286 p.Conference paper, (Refereed)
Abstract [en]

Wireless sensor network is remarkable for its promising use on human-unattended information collection, such as forest fire monitoring. In order to support efficient communication, many routing algorithms specially designed for such networks have been proposed. However, there is no idea about whether these proposed routing algorithms are already good enough or still have a long way to become “perfect”, since there is currently a lack of understanding about the optimal routing performance. This paper makes a progress in the understanding of the optimal routing performance. Metrics here used to measure the routing performance are the network lifetime finally acquired and the total information finally collected. The condition used to judge the network’s death is defined by the user’s requirement on the guaranteed network information collecting ability. Optimization models based on the metrics and death condition mentioned above are proposed. Experiments show some existing routing proposals already work well when the user’s requirement is strict, but few of them satisfy when the user’s requirement is loose.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2008. 279-286 p.
Keyword [en]
Optimal Routing, Wireless Senson Networks
National Category
Computer Science
Identifiers
URN: urn:nbn:se:miun:diva-4401DOI: 10.1109/AINA.2008.47Local ID: 5320ISBN: 978-0-7695-3095-6 (print)OAI: oai:DiVA.org:miun-4401DiVA: diva2:29433
Conference
IEEE 22nd International Conference on Advanced Information Networking and Applications
Projects
STC - Sensible Things that Communicate
Available from: 2008-09-30 Created: 2009-07-28 Last updated: 2013-03-25Bibliographically 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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Citation style
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