Abstract | ||
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This paper looks into application of swarm intelligence (SI) in the Internet of Things (IoT). SI algorithms are well established and applied in well known problems. The IoT processes being data intensive, the quality of IoT services depend a lot on IoT data processing capabilities. With diverse variety and volume of IoT data, SI algorithms like Ant Colony Optimization (ACO) can play an important role in optimizing the IoT processes. We envision the application of ACO in three IoT domains and outline how they can be improved with the same. |
Year | DOI | Venue |
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2017 | 10.1109/ISCE.2017.8355550 | 2017 IEEE International Symposium on Consumer Electronics (ISCE) |
Keywords | Field | DocType |
Internet of Things,Optimization,Swarm Intelligence | Ant colony optimization algorithms,Particle swarm optimization,Data processing,Computer science,Swarm intelligence,Internet of Things,Computer network,Cloud computing | Conference |
ISSN | ISBN | Citations |
2158-3994 | 978-1-5386-2190-5 | 0 |
PageRank | References | Authors |
0.34 | 4 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tanmay Chakraborty | 1 | 0 | 0.34 |
Soumya Kanti Datta | 2 | 249 | 29.23 |