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Source Traffic Modeling in Wireless Sensor Networks for Target Tracking
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Institutionen för informationsteknologi och medier. (SensibleReality, SensorNetworkSecurity, SensorBasedServices)
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Institutionen för informationsteknologi och medier. (SensibleReality, SensorNetworkSecurity)
2008 (engelsk)Inngår i: The 5th ACM International Symposium on Performance Evaluation of Wireless Ad-Hoc, Sensor, and Ubiquitous Networks (PE-WASUN'08), USA: Association for Computing Machinery (ACM), 2008, s. 96-100Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Researches around wireless sensor network (WSN) were very prolific recently. However, traffic modeling related WSN research was poorly less. In this paper, source traffic dynamics in a simulated target tracking WSN scenario are explored. We find the source traffic arrival process doesn't follow the usually considered Poisson model. Instead, an ON/OFF model is found to be capable of capturing the burst nature of source traffic arrival. Further, we find the measured ON/OFF periods follow the generalized Pareto distribution perfectly. Mathematical analysis also shows a surprising fact: all ON/OFF period distributions in the experiment exhibit short-tail property, which is a nice property that could be exploited by applications such as anomaly detection and node failure detection.

sted, utgiver, år, opplag, sider
USA: Association for Computing Machinery (ACM), 2008. s. 96-100
Emneord [en]
Traffic modeling, sensor network, target tracking
HSV kategori
Identifikatorer
URN: urn:nbn:se:miun:diva-7178DOI: 10.1145/1454609.1454629ISI: 000265662200015Scopus ID: 2-s2.0-63449084079ISBN: 978-1-60558-055-5 (tryckt)ISBN: 978-1-60558-236-8 (tryckt)OAI: oai:DiVA.org:miun-7178DiVA, id: diva2:126890
Konferanse
5th ACM International Symposium on Performance Evaluation of Wireless Ad-Hoc, Sensor, and Ubiquitous Networks, PE-WASUN'08; Vancouver, BC; Canada; 27 October 2008 through 28 October 2008; Code 75730
Prosjekter
STC - Sensible Things that Communicate
Merknad

Electronics design division

Tilgjengelig fra: 2008-11-29 Laget: 2008-11-25 Sist oppdatert: 2016-09-26bibliografisk kontrollert
Inngår i avhandling
1. Traffic Analysis, Modeling and Their Applications in Energy-Constrained Wireless Sensor Networks: On Network Optimization and Anomaly Detection
Åpne denne publikasjonen i ny fane eller vindu >>Traffic Analysis, Modeling and Their Applications in Energy-Constrained Wireless Sensor Networks: On Network Optimization and Anomaly Detection
2010 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
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.

sted, utgiver, år, opplag, sider
Sundsvall: Tryckeriet Mittuniversitetet, 2010. s. 120
Serie
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 78
Emneord
Wireless sensor network, traffic analysis, network optimization, anomaly detection
HSV kategori
Identifikatorer
urn:nbn:se:miun:diva-10690 (URN)978-91-86073-64-0 (ISBN)
Disputas
2010-02-03, L111, Mittuniversitetet, Holmgatan 10, 85170 Sundsvall, Sundsvall, 10:00 (engelsk)
Opponent
Veileder
Prosjekter
STC
Tilgjengelig fra: 2010-01-26 Laget: 2009-12-16 Sist oppdatert: 2018-01-12bibliografisk kontrollert

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