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Collaborative communication and computational design for energy-efficient edge based learning network.
- Source :
-
EURASIP Journal on Wireless Communications & Networking . 8/31/2023, Vol. 2023 Issue 1, p1-16. 16p. - Publication Year :
- 2023
-
Abstract
- In this paper, the potential for conserving energy has been used inside the collaborative network. The purpose of this work is to examine a model of a collaborative mobile cloud with the objective of lowering the total energy consumption of network nodes. This model is made up of many different network nodes, all of which collaborate with one another to build the network. We performed a theoretical examination into the quantity of energy that is used by the nodes when they are functioning as part of the network. In addition, a user grouping and scheduling-based system was established in order to establish when and how users should participate in the creation of the network. This was done so that the system could identify when and how users should contribute to the construction of the network. The proposed methodology took into consideration both the user and the base station components, and it made an effort to strike a balance between reducing the amount of energy that was consumed and ensuring that everyone was treated in an equitable manner. Even with higher delay values, the collaborative method may minimise energy use. The suggested approach uses slower but more energy-efficient nodes by increasing the allowable latency, which reduces energy usage and benefits from the diversity of nodes. The results of the simulation are presented by our proposed method from the perspective of user fairness as well as presenting the advantages of conserving energy that are associated with employing the collaborative strategy. [ABSTRACT FROM AUTHOR]
- Subjects :
- *ENERGY conservation
*ENERGY consumption
*POTENTIAL energy
Subjects
Details
- Language :
- English
- ISSN :
- 16871472
- Volume :
- 2023
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- EURASIP Journal on Wireless Communications & Networking
- Publication Type :
- Academic Journal
- Accession number :
- 171309719
- Full Text :
- https://doi.org/10.1186/s13638-023-02299-4