Energy-efficient task offloading in fog computing for 5G cellular network
The proliferation of IoT devices has introduced challenges, including high delay, increased energy consumption, and heavy load. This paper proposes a new energy-aware task offloading approach to improve energy efficiency and minimize latency in fog computing using the Gale Shapley Stable Marriage Ma...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-02-01
|
| Series: | Engineering Science and Technology, an International Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215098624000144 |
| _version_ | 1827351310326824960 |
|---|---|
| author | Wan Norsyafizan W. Muhamad Syamimi Syahirah Mohd Aris Kaharudin Dimyati Muhammad Awais Javed Azlina Idris Darmawaty Mohd Ali Ezmin Abdullah |
| author_facet | Wan Norsyafizan W. Muhamad Syamimi Syahirah Mohd Aris Kaharudin Dimyati Muhammad Awais Javed Azlina Idris Darmawaty Mohd Ali Ezmin Abdullah |
| author_sort | Wan Norsyafizan W. Muhamad |
| collection | DOAJ |
| description | The proliferation of IoT devices has introduced challenges, including high delay, increased energy consumption, and heavy load. This paper proposes a new energy-aware task offloading approach to improve energy efficiency and minimize latency in fog computing using the Gale Shapley Stable Marriage Matching technique. The proposed Gale Shapley Stable Marriage matching game focuses on one-to-one matching between four mobile devices and four fog nodes. By integrating energy availability and proximity into a single preference function, the algorithm can identify an ideal partner for task offloading that minimizes energy consumption and latency. The simulation results demonstrate that the proposed technique reduces energy usage and latency by 31.36% and 30%, respectively. |
| first_indexed | 2024-03-08T02:01:22Z |
| format | Article |
| id | doaj.art-fb8e6f84f7614c0eb772b8f4a389fccf |
| institution | Directory Open Access Journal |
| issn | 2215-0986 |
| language | English |
| last_indexed | 2024-03-08T02:01:22Z |
| publishDate | 2024-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Engineering Science and Technology, an International Journal |
| spelling | doaj.art-fb8e6f84f7614c0eb772b8f4a389fccf2024-02-14T05:17:27ZengElsevierEngineering Science and Technology, an International Journal2215-09862024-02-0150101628Energy-efficient task offloading in fog computing for 5G cellular networkWan Norsyafizan W. Muhamad0Syamimi Syahirah Mohd Aris1Kaharudin Dimyati2Muhammad Awais Javed3Azlina Idris4Darmawaty Mohd Ali5Ezmin Abdullah6School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia; Corresponding author.School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, MalaysiaDepartment of Electrical Engineering, Faculty of Engineering, Universiti Malaya, 50603 Kuala Lumpur, MalaysiaDepartment of Electrical and Computer Engineering, COMSAT University Islamabad, 455550 Islamabad, PakistanSchool of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, MalaysiaSchool of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, MalaysiaSchool of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, MalaysiaThe proliferation of IoT devices has introduced challenges, including high delay, increased energy consumption, and heavy load. This paper proposes a new energy-aware task offloading approach to improve energy efficiency and minimize latency in fog computing using the Gale Shapley Stable Marriage Matching technique. The proposed Gale Shapley Stable Marriage matching game focuses on one-to-one matching between four mobile devices and four fog nodes. By integrating energy availability and proximity into a single preference function, the algorithm can identify an ideal partner for task offloading that minimizes energy consumption and latency. The simulation results demonstrate that the proposed technique reduces energy usage and latency by 31.36% and 30%, respectively.http://www.sciencedirect.com/science/article/pii/S2215098624000144Fog computing5G networksEnergy efficiencyTask offloadingStable matchingGale Shapley |
| spellingShingle | Wan Norsyafizan W. Muhamad Syamimi Syahirah Mohd Aris Kaharudin Dimyati Muhammad Awais Javed Azlina Idris Darmawaty Mohd Ali Ezmin Abdullah Energy-efficient task offloading in fog computing for 5G cellular network Engineering Science and Technology, an International Journal Fog computing 5G networks Energy efficiency Task offloading Stable matching Gale Shapley |
| title | Energy-efficient task offloading in fog computing for 5G cellular network |
| title_full | Energy-efficient task offloading in fog computing for 5G cellular network |
| title_fullStr | Energy-efficient task offloading in fog computing for 5G cellular network |
| title_full_unstemmed | Energy-efficient task offloading in fog computing for 5G cellular network |
| title_short | Energy-efficient task offloading in fog computing for 5G cellular network |
| title_sort | energy efficient task offloading in fog computing for 5g cellular network |
| topic | Fog computing 5G networks Energy efficiency Task offloading Stable matching Gale Shapley |
| url | http://www.sciencedirect.com/science/article/pii/S2215098624000144 |
| work_keys_str_mv | AT wannorsyafizanwmuhamad energyefficienttaskoffloadinginfogcomputingfor5gcellularnetwork AT syamimisyahirahmohdaris energyefficienttaskoffloadinginfogcomputingfor5gcellularnetwork AT kaharudindimyati energyefficienttaskoffloadinginfogcomputingfor5gcellularnetwork AT muhammadawaisjaved energyefficienttaskoffloadinginfogcomputingfor5gcellularnetwork AT azlinaidris energyefficienttaskoffloadinginfogcomputingfor5gcellularnetwork AT darmawatymohdali energyefficienttaskoffloadinginfogcomputingfor5gcellularnetwork AT ezminabdullah energyefficienttaskoffloadinginfogcomputingfor5gcellularnetwork |