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An effort to understand the optimal routing performance in wireless sensor network
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Institutionen för informationsteknologi och medier. (SensibleReality, SensorNetworkSecurity)
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Institutionen för informationsteknologi och medier. (SensorBasedServices, SensibleReality, SensorNetworkSecurity)
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Institutionen för informationsteknologi och medier.
Ansvarig organisation
2008 (Engelska)Ingår i: 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, s. 279-286Konferensbidrag, Publicerat paper (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
IEEE conference proceedings, 2008. s. 279-286
Nyckelord [en]
Optimal Routing, Wireless Senson Networks
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:miun:diva-4401DOI: 10.1109/AINA.2008.47Scopus ID: 2-s2.0-50249133776Lokalt ID: 5320ISBN: 978-0-7695-3095-6 (tryckt)OAI: oai:DiVA.org:miun-4401DiVA, id: diva2:29433
Konferens
IEEE 22nd International Conference on Advanced Information Networking and Applications
Projekt
STC - Sensible Things that CommunicateTillgänglig från: 2008-09-30 Skapad: 2009-07-28 Senast uppdaterad: 2018-01-12Bibliografiskt granskad
Ingår i avhandling
1. Traffic Analysis, Modeling and Their Applications in Energy-Constrained Wireless Sensor Networks: On Network Optimization and Anomaly Detection
Öppna denna publikation i ny flik eller fönster >>Traffic Analysis, Modeling and Their Applications in Energy-Constrained Wireless Sensor Networks: On Network Optimization and Anomaly Detection
2010 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
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.

Ort, förlag, år, upplaga, sidor
Sundsvall: Tryckeriet Mittuniversitetet, 2010. s. 120
Serie
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 78
Nyckelord
Wireless sensor network, traffic analysis, network optimization, anomaly detection
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik
Identifikatorer
urn:nbn:se:miun:diva-10690 (URN)978-91-86073-64-0 (ISBN)
Disputation
2010-02-03, L111, Mittuniversitetet, Holmgatan 10, 85170 Sundsvall, Sundsvall, 10:00 (Engelska)
Opponent
Handledare
Projekt
STC
Tillgänglig från: 2010-01-26 Skapad: 2009-12-16 Senast uppdaterad: 2018-01-12Bibliografiskt granskad

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Wang, QinghuaZhang, TingtingPettersson, Stefan

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