Certified Elimination of Source Candidates Under Capacity, Transit-Time, and Deadline Constraints.

IF 2.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Entropy Pub Date : 2026-09-14 DOI:10.3390/e28091022
Zimeng Wang, Chao Zhao, Chung Chan
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Abstract

Source identification is constrained not only by network connectivity but also by whether a finite message can reach observed nodes before a deadline. We study deterministic source-candidate elimination in directed networks with arc capacities and transit times. A time-expanded construction gives an exact causal network-coding characterization in which a candidate is retained if and only if its temporal min-cut to every required recipient is at least the message size. Rejection is therefore conservative for any weaker compliant routing or replication protocol. We derive an equivalent minimum-cost circulation computation, monotone certificates under parameter uncertainty, and closed-form formulas for bidirected trees, including linear-time evaluation for uniform capacities and an O(|V|log2|V|) centroid decomposition algorithm for heterogeneous capacities. Protocol-generated experiments show zero true-source eliminations and substantial refinement in routing regimes. Held-out calibration supports transfer to unseen networks. On benchmark representations of 40 real backbone topology families with 50 to 197 nodes, mean candidate retention falls from 99.3% under static screening to 25.3% under exact temporal screening, without true-source elimination. A focused RLNC diagnostic attributes weak refinement in coding-rich regimes to the static screen retaining all candidates and to broad temporal feasibility, while decode-before-forward restrictions create a substantially larger protocol gap.

在容量、传输时间和截止日期限制下的候选源的认证消除。
源识别不仅受网络连通性的限制,还受有限消息是否能在截止日期前到达观察节点的限制。研究了具有电弧容量和传输时间的有向网络中的确定性候选源消除问题。一个时间扩展的构造给出了一个精确的因果网络编码特征,其中当且仅当候选对象对每个所需接收者的时间最小切割至少是消息大小时,候选对象才被保留。因此,拒绝对于任何较弱的兼容路由或复制协议都是保守的。我们推导了等效最小代价循环计算,参数不确定性下的单调证明,以及双向树的封闭形式公式,包括均匀容量的线性时间评估和异构容量的O(|V|log2|V|)质心分解算法。协议生成实验显示零真源消除和路由机制的实质性改进。手持校准支持传输到看不见的网络。在具有50到197个节点的40个真实骨干拓扑家族的基准表示中,平均候选保留率从静态筛选下的99.3%下降到精确时间筛选下的25.3%,没有真源消除。集中的RLNC诊断将编码丰富的制度中的弱精化归因于保留所有候选方案的静态屏幕和广泛的时间可行性,而解码前向限制则造成了更大的协议差距。
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来源期刊
Entropy
Entropy PHYSICS, MULTIDISCIPLINARY-
CiteScore
4.90
自引率
11.10%
发文量
1580
审稿时长
21.05 days
期刊介绍: Entropy (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish as much as possible their theoretical and experimental details. There is no restriction on the length of the papers. If there are computation and the experiment, the details must be provided so that the results can be reproduced.
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