The development of wireless sensor networks has reached a point where each individual node of a network may store and deliver a massive amount of (sensor-based) information at once or over time. In the future, massively connected, highly dynamic wireless sensor networks such as vehicle-2-vehicle communication scenarios may hold an even greater information potential. This is mostly due to the increase in node complexity. Consequently, data volumes will become a problem for traditional data aggregation strategies trafficwise as well as with regard to energy efficiency. Therefore, in this thesis, proposed a database aggregation strategy can be used to minimize most of these problems of big data in embedded and wireless sensor networks which enables the efficient use of energy and the handling of large data volumes.
Moreover, evaluated latency and traffic volume in the network based on experiments using sensor platforms.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:31580 |
| Date | 11 September 2018 |
| Creators | Jitta, Srinivasu |
| Contributors | Hardt, Wolfram, Bergelt, René, Hardt, Wolfram, Bergelt, René, Technische Universität Chemnitz |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/acceptedVersion, doc-type:masterThesis, info:eu-repo/semantics/masterThesis, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
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