Energy-Efficient and Timely Event Reporting Using Wireless Sensor Networks

Energieeffiziente und rechtzeitige Ereignismeldung mittels drahtloser Sensornetze

  • This thesis investigates the suitability of state-of-the-art protocols for large-scale and long-term environmental event monitoring using wireless sensor networks based on the application scenario of early forest fire detection. By suitable combination of energy-efficient protocol mechanisms a novel communication protocol, referred to as cross-layer message-merging protocol (XLMMP), is developed. Qualitative and quantitative protocol analyses are carried out to confirm that XLMMP is particularly suitable for this application area. The quantitative analysis is mainly based on finite-source retrial queues with multiple unreliable servers. While this queueing model is widely applicable in various research areas even beyond communication networks, this thesis is the first to determine the distribution of the response time in this model. The model evaluation is mainly carried out using Markovian analysis and the method of phases. The obtained quantitative results show that XLMMP is a feasible basis to design scalable wireless sensor networThis thesis investigates the suitability of state-of-the-art protocols for large-scale and long-term environmental event monitoring using wireless sensor networks based on the application scenario of early forest fire detection. By suitable combination of energy-efficient protocol mechanisms a novel communication protocol, referred to as cross-layer message-merging protocol (XLMMP), is developed. Qualitative and quantitative protocol analyses are carried out to confirm that XLMMP is particularly suitable for this application area. The quantitative analysis is mainly based on finite-source retrial queues with multiple unreliable servers. While this queueing model is widely applicable in various research areas even beyond communication networks, this thesis is the first to determine the distribution of the response time in this model. The model evaluation is mainly carried out using Markovian analysis and the method of phases. The obtained quantitative results show that XLMMP is a feasible basis to design scalable wireless sensor networks that (1) may comprise hundreds of thousands of tiny sensor nodes with reduced node complexity, (2) are suitable to monitor an area of tens of square kilometers, (3) achieve a lifetime of several years. The deduced quantifiable relationships between key network parameters — e.g., node size, node density, size of the monitored area, aspired lifetime, and the maximum end-to-end communication delay — enable application-specific optimization of the protocol.show moreshow less

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Metadaten
Author:Patrick Wüchner
URN:urn:nbn:de:bvb:739-opus-27159
Advisor:Meer, Hermann De Meer
Document Type:Doctoral Thesis
Language:English
Year of Completion:2013
Date of Publication (online):2014/02/17
Publishing Institution:Universität Passau
Granting Institution:Universität Passau, Fakultät für Informatik und Mathematik
Date of final exam:2014/02/06
Release Date:2014/02/17
Tag:Communication protocol; Continuous-time Markov chain; Energy efficiency; Finite-source retrial queue; Mathematical modeling; Wireless sensor network
GND Keyword:Drahtloses Sensorsystem; Elektronische Kommunikation; Kommunikationsprotokoll; Markov-Kette; Netzwerk; Protokoll <Datenverarbeitungssystem>
Institutes:Fakultät für Informatik und Mathematik / Mitarbeiter Lehrstuhl/Einrichtung der Fakultät für Informatik und Mathematik
CCS-Classification:C. Computer Systems Organization / C.4 PERFORMANCE OF SYSTEMS
G. Mathematics of Computing / G.3 PROBABILITY AND STATISTICS
J. Computer Applications / J.7 COMPUTERS IN OTHER SYSTEMS (C.3)
C. Computer Systems Organization / C.2 COMPUTER-COMMUNICATION NETWORKS / C.2.1 Network Architecture and Design
C. Computer Systems Organization / C.2 COMPUTER-COMMUNICATION NETWORKS / C.2.2 Network Protocols
G. Mathematics of Computing / G.1 NUMERICAL ANALYSIS / G.1.2 Approximation
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
open_access (DINI-Set):open_access
Licence (German):License LogoStandardbedingung laut Einverständniserklärung

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