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Peer-Review Record

Heuristic-Based Computing-Aware Routing for Dynamic Networks

Electronics 2025, 14(18), 3724; https://doi.org/10.3390/electronics14183724
by Zhiyi Lin 1,*, Lingjie Wang 1, Wenxin Ning 1, Yuxiang Zhao 1, Li Yu 2 and Jian Jiang 1
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Electronics 2025, 14(18), 3724; https://doi.org/10.3390/electronics14183724
Submission received: 23 August 2025 / Revised: 14 September 2025 / Accepted: 17 September 2025 / Published: 19 September 2025

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

This paper proposes a heuristic-based algorithm (H-CAR) for computing-aware routing in dynamic networks, modeling time-varying node and edge weights based on QoE metrics. The paper is well-structured, clearly defines the problem, and presents an innovative solution. Experimental results convincingly demonstrate the efficiency and accuracy of H-CAR.

A few areas could be strengthened. The paper mentions that the landmark table is "pre-calculated," but does not detail its computational cost or update frequency in dynamic environments. It also highlights the need for "sufficient and high-quality data" without discussing the challenges of obtaining and maintaining such data in real-world scenarios, which is critical for practical implementation.

Author Response

Please refer to the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

The paper studies computing-power-aware routing algorithm. Algorithms are designed and some simulations are implemented. The reviewer has the following comments.

  1. The introduction does not clearly describe the unique challenges of computing-power-aware routing. Many routing algorithms were designed, Dijkstra, A-start. It seems that computing power could just be an item to form a combined weight for these existing algorithms.
  2. The paper also thinks that the proposed solution is a QoE based routing. The paper says – the QoE is evaluated by both the transmission process and computation process. However, both of them are not QoE-related metrics or processes. I suggest that the authors refer to the paper to understand QoE: data-driven QoS and QoE management in smart cities: a tutorial study
  3. There are different math symbols and equations. However, they are not well presented or justified. For example, in π_{u,v,t }= {(u, v1), (u2, v2), . . . , is it u_1in the first item? (3) is also confusing. What are the purposes for (5)-(7)?
  4. Simulations evaluate metrics like accuracy and time cost. How are they related to computing-power-related routing? How are they related to your research motivations?

Author Response

Please refer to the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

Comments and Suggestions for Authors

Thank you for addressing my comments. I have no further comments. 

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