2026-09-22T09:08:03Z https://opus4.kobv.de/opus4-uni-passau/oai

oai:kobv.de-opus4-uni-passau:201 2025-08-13 bibliography:false doc-type:PhDThesis status-type:publishedVersion open_access ddc ddc:004

Energy-Efficient and Timely Event Reporting Using Wireless Sensor Networks Energieeffiziente und rechtzeitige Ereignismeldung mittels drahtloser Sensornetze Patrick Wüchner 004 Drahtloses Sensorsystem Netzwerk Elektronische Kommunikation Protokoll <Datenverarbeitungssystem> Kommunikationsprotokoll Markov-Kette Wireless sensor network Energy efficiency Communication protocol Mathematical modeling Continuous-time Markov chain Finite-source retrial queue 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 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. Universität Passau Passau Innstrasse 29, 94032 Passau Meer, Hermann De Meer Prof. Dr. 2014-02-06 2014-02-17 PhDThesis Text publishedVersion urn:nbn:de:bvb:739-opus-27159 application/pdf eng Standardbedingung laut Einverständniserklärung thesis.doctoral Universität Passau Passau Fakultät für Informatik und Mathematik 1 https://opus4.kobv.de/opus4-uni-passau/oai/container/index/docId/201 https://opus4.kobv.de/opus4-uni-passau/frontdoor/index/index/docId/201