A genetic algorithm-based solution for efficient in-network sensor data annotation in virtualized Wireless Sensor Networks
| Autor: | Son N. Han, Jagruti Sahoo, Noel Crespi, Imran Khan, Roch Glitho |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
Heuristic (computer science) business.industry Distributed computing 020206 networking & telecommunications Context (language use) 02 engineering and technology Virtualization computer.software_genre Sensor web Key distribution in wireless sensor networks Genetic algorithm 0202 electrical engineering electronic engineering information engineering Mobile wireless sensor network 020201 artificial intelligence & image processing business Wireless sensor network computer Computer network |
| Zdroj: | CCNC |
| DOI: | 10.1109/ccnc.2016.7444798 |
| Popis: | Sharing a deployed Wireless Sensor Network Infrastructure (WSNI), (using virtualization), among multiple, concurrent applications can help realize the true potential of Internet-of-Things (IoT). Virtualized WSNs can be used by multiple applications and services concurrently including semantic applications to help end-users to understand the context of the events and make informed decisions. This paper proposes a heuristic-based genetic algorithm to select capable nodes to perform efficient in-network sensor data annotation in virtualized WSNs. We also present early simulations results. |
| Databáze: | OpenAIRE |
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