Hybrid Simulation of Energy Management in IoT Edge Computing Surveillance Systems

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Conference Lelio Campanile, Marco Gribaudo, Mauro Iacono, Michele Mastroianni — 2021 · Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Venue & metadata

Journal/Proceedings: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 13104 LNCS
Pages: 345 – 359
Note: Cited by: 3
Author keywords: Edge computing; IoT; Performance evaluation; Surveillance

Abstract

Internet of Things (IoT) is a well established approach used for the implementation of surveillance systems that are suitable for monitoring large portions of territory. Current developments allow the design of battery powered IoT nodes that can communicate over the network with low energy requirements and locally perform some computing and coordination task, besides running sensing and related processing: it is thus possible to implement edge computing oriented solutions on IoT, if the design encompasses both hardware and software elements in terms of sensing, processing, computing, communications and routing energy costs as one of the quality indices of the system. In this paper we propose a modeling approach for edge computing IoT-based monitoring systems energy related characteristics, suitable for the analysis of energy levels of large battery powered monitoring systems with dynamic and reactive computing workloads. © 2021, Springer Nature Switzerland AG.

Keywords

Edge computing Electric batteries Internet of things Low power electronics Network security Security systems ’current Battery powered Computing-task Edge computing Energy requirements Hybrid simulation Lower energies Monitoring system Performances evaluation Surveillance systems Monitoring

Links & artifacts

DOI Publisher

@article{Campanile2021345,
  author = {Campanile, Lelio and Gribaudo, Marco and Iacono, Mauro and Mastroianni, Michele},
  title = {Hybrid Simulation of Energy Management in IoT Edge Computing Surveillance Systems},
  year = {2021},
  journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  volume = {13104 LNCS},
  pages = {345 – 359},
  doi = {10.1007/978-3-030-91825-5_21}
}

Suggested citation

Campanile, L., Gribaudo, M., Iacono, M., & Mastroianni, M. (2021). Hybrid Simulation of Energy Management in IoT Edge Computing Surveillance Systems [Conference paper]. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13104 LNCS, 345–359. https://doi.org/10.1007/978-3-030-91825-5_21

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