Abstract
Joint computation is a form of collaborative job execution running at separate physical units, which are previously grouped by their unique functionalities. While existing studies have mainly utilized joint computation with direct coordination between nodes in different segments, it is worth considering another scenario where an additional node within a layer relays data to another layer. As a consequence, the node can serve as an aggregation point for data capture units prior to transmission to the sink node. However, this new arrangement produces additional transmission paths and can thus cause additional energy spending. This pilot study investigates the joint computation problem aiming at optimizing energy consumption. Relevant components, such as computation and communication, are taken into account and modeled into formal representation. A genetic algorithm-based solution is then used as a tool to optimize parameter setup. According to the experiment results, the metaheuristic algorithm has potential to achieve the optimal system configuration, emphasizing the data length that affects the final energy spending on communications. However, the algorithm cannot always guarantee the optimality as it relies on the random variable used in the process.
Original language | English |
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Title of host publication | 2020 Emerging Technology in Computing, Communication and Electronics (ETCCE) |
Publisher | IEEE |
Pages | 1-6 |
Number of pages | 6 |
ISBN (Electronic) | 978-0-7381-2401-8, 978-1-6654-1962-8 |
DOIs | |
Publication status | Published - 21 Dec 2020 |
Event | 2020 International Conference on Emerging Technology in Computing, Communication and Electronics - Dhaka, Bangladesh Duration: 21 Dec 2020 → 22 Dec 2020 https://ritechs.org/ETCCE2020/ |
Publication series
Name | ETCCE 2020 - International Conference on Emerging Technology in Computing, Communication and Electronics |
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Conference
Conference | 2020 International Conference on Emerging Technology in Computing, Communication and Electronics |
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Abbreviated title | ETCCE 2020 |
Country/Territory | Bangladesh |
City | Dhaka |
Period | 21/12/20 → 22/12/20 |
Internet address |
Keywords
- Energy Consumption
- Fog Computing
- Joint Computation
- Multi-hop Network
- Optimization
ASJC Scopus subject areas
- Artificial Intelligence
- Signal Processing
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Computer Science Applications