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.

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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
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Energy Efficient Data Processing: Integrated Sensing-Communication-Computation Design

Guangxu Zhu, Ziqin Zhou, Xiaoyang Li, Bingpeng Zhou et al.
Energy Efficient Wireless Sensor Networks
article

Energy Efficient Data Processing: Integrated Sensing-Communication-Computation Design

Guangxu Zhu, Ziqin Zhou, Xiaoyang Li, Bingpeng Zhou, Chang Liu, Kaibin Huang
article en

Abstract

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.

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)
Openalex Percentile: Top 69%
Energy Efficient Wireless Sensor Networks
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Energy Efficient Data Processing: Integrated Sensing-Communication-Computation Design — Guangxu Zhu, Ziqin Zhou, et al. · (2025) | TGRS Research Map | TGRS