Energy Efficient Data Processing: Integrated Sensing-Communication-Computation Design
In space-air-ground-sea networks, the conventional data processing designs separately considering sensing, communication and computation processes lead to severe wastes of radio, energy, and computation resources. To overcome this drawback, an integrated sensing-communication-computation design is pro-posed in this paper, which aims at realizing energy efficient data processing by jointly determining the data offloading ratio together with the sensing and offloading rates according to the processor profiles of mobile devices and servers. It is proved that the data offloading ratio is determined by the server's processor profile, while the string-pulling algorithms are designed to obtain the optimal sensing and offloading rates. Simulations are conducted to verify the effectiveness of the proposed design.
Authors
- Guangxu Zhu (ORCID: https://orcid.org/0000-0001-9532-9201)
- Ziqin Zhou (ORCID: https://orcid.org/0000-0002-3516-924X)
- Xiaoyang Li (ORCID: https://orcid.org/0000-0003-4899-0835)
- Bingpeng Zhou (ORCID: https://orcid.org/0000-0003-3764-6609)
- Chang Liu (ORCID: https://orcid.org/0000-0002-3914-754X)
- Kaibin Huang (ORCID: https://orcid.org/0000-0001-8773-4629)
Institutions
- Guangdong University of Technology (CN)
- Sun Yat-sen University (CN)
- Shenzhen Research Institute of Big Data (CN)
- Chinese University of Hong Kong, Shenzhen (CN)
- University of Hong Kong (HK)
Publication Details
- Published
- 2025-06-17
- DOI
- https://doi.org/10.1109/vtc2025-spring65109.2025.11174516
- Primary Topic
- Energy Efficient Wireless Sensor Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00