Enhancing Energy Efficiency in IoT-NDN via Parameter Optimization

Dennis Papenfuß, Bennet Gerlach, Stefan Fischer and Mohamed Ahmed Hail ()
Additional contact information
Dennis Papenfuß: Insitute of Telematics, University of Lübeck, 23562 Lübeck, Germany
Bennet Gerlach: Insitute of Telematics, University of Lübeck, 23562 Lübeck, Germany
Stefan Fischer: Insitute of Telematics, University of Lübeck, 23562 Lübeck, Germany
Mohamed Ahmed Hail: Insitute of Telematics, University of Lübeck, 23562 Lübeck, Germany

Future Internet, 2024, vol. 16, issue 2, 1-24

Abstract: The IoT encompasses objects, sensors, and everyday items not typically considered computers. IoT devices are subject to severe energy, memory, and computation power constraints. Employing NDN for the IoT is a recent approach to accommodate these issues. To gain a deeper insight into how different network parameters affect energy consumption, analyzing a range of parameters using hyperparameter optimization seems reasonable. The experiments from this work’s ndnSIM-based hyperparameter setup indicate that the data packet size has the most significant impact on energy consumption, followed by the caching scheme, caching strategy, and finally, the forwarding strategy. The energy footprint of these parameters is orders of magnitude apart. Surprisingly, the packet request sequence influences the caching parameters’ energy footprint more than the graph size and topology. Regarding energy consumption, the results indicate that data compression may be more relevant than expected, and caching may be more significant than the forwarding strategy. The framework for ndnSIM developed in this work can be used to simulate NDN networks more efficiently. Furthermore, the work presents a valuable basis for further research on the effect of specific parameter combinations not examined before.

Keywords: IoT; NDN; ndnSIM; ns-3; energy efficiency; caching; optimization; parameter optimization (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1999-5903/16/2/61/pdf (application/pdf)
https://www.mdpi.com/1999-5903/16/2/61/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:16:y:2024:i:2:p:61-:d:1339678

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().