Integrated communication-sensing-computation based energy efficient data processing design

Zhou Ziqin; Zhou Shangyu; Han Zidong; Cao Xiaowen; Li Xiaoyang

doi:10.11959/j.issn.1000-0801.2026042

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Integrated communication-sensing-computation based energy efficient data processing design

Topic: Integration of Communication, Sensing, and Computing for 6G | 更新时间：2026-03-02

- Integrated communication-sensing-computation based energy efficient data processing design
- Telecommunications Science Vol. 42, Issue 1, Pages: 35-42(2026)
- 作者机构：
  
  1.南方科技大学工学院，广东深圳 518055
  2.深圳大学电子与信息工程学院，广东深圳 518060
- 作者简介：
- 基金信息：
  
  The Young Elite Scientists Sponsorship Program by CAST(YESS20240364);The Guangdong Provincial Key Laboratory of Future Networks of Intelligence(2022B1212010001);The Shenzhen Science and Technology Program(JCYJ20220530113017039;JCYJ20241202124934046;RCBS20231211090520032)
- DOI：10.11959/j.issn.1000-0801.2026042
  CLC： TN919;TP393
- Received：03 October 2025，
  
  Revised：2025-10-30，
  
  Accepted：19 November 2025，
  
  Published：20 January 2026
- 稿件说明：
移动端阅览
周梓钦,周尚语,韩子栋等.基于通信-感知-计算一体化的高能效数据处理设计[J].电信科学,2026,42(01):35-42.

Zhou Ziqin,Zhou Shangyu,Han Zidong,et al.Integrated communication-sensing-computation based energy efficient data processing design[J].Telecommunications Science,2026,42(01):35-42.
周梓钦,周尚语,韩子栋等.基于通信-感知-计算一体化的高能效数据处理设计[J].电信科学,2026,42(01):35-42. DOI： 10.11959/j.issn.1000-0801.2026042.

Zhou Ziqin,Zhou Shangyu,Han Zidong,et al.Integrated communication-sensing-computation based energy efficient data processing design[J].Telecommunications Science,2026,42(01):35-42. DOI： 10.11959/j.issn.1000-0801.2026042.

摘要

在物联网中，传统的数据处理设计将感知、通信和计算过程分开考虑，导致了无线电、能源和算力资源的严重浪费。为克服这一缺陷，提出了一种通信-感知-计算一体化设计。该设计旨在根据移动设备和服务器的算力配置，对数据感知速率、卸载量和卸载速率进行联合优化，从而实现高能效的数据处理。研究表明，数据卸载率由服务器的算力配置决定，同时基于拉线算法的感知和卸载速率控制可达到能效最优。上述设计的有效性通过仿真进行了验证。

Abstract

Conventional data processing in IoT often treats sensing

communication

and computation as separate tasks

leading to significant inefficiencies in radio

energy

and computational resource usage. To address this limitation

an integrated communication-sensing-computation design was proposed. This approach jointly optimized the data offloading ratio

sensing rate

and transmission rate based on the processing capabilities of both mobile devices and servers

with the goal of maximizing energy efficiency. The analysis revealed that the optimal offloading ratio depends solely on the server’s processor profile. A string-pulling algorithm was further designed to determine the optimal sensing and offloading rates. Simulation results validate the superiority of the proposed design.

关键词

Keywords

references

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Zhou Z Q , Li X Y , You C S , et al . Joint sensing and communication-rate control for energy efficient mobile crowd sensing [J ] . IEEE Transactions on Wireless Communications , 2023 , 22 ( 2 ): 1314 - 1327 .

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