多层网络层内共识的时间和能量代价

IF 7.9 2区 计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY IEEE Transactions on Network Science and Engineering Pub Date : 2024-12-20 DOI:10.1109/TNSE.2024.3521224
Dan Rong;Haifeng Dai;Yongzheng Sun;Guanghui Wen
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引用次数: 0

摘要

多层网络表示已被证明能够很好地表征真实网络,并成功地揭示了一些超出单层网络解释能力的潜在现象。尽管内部共识具有独特性和兴奋性,但却很少受到关注。针对多层网络的有限时间层内一致性问题,提出了一种不连续协议。与传统有限时间共识方案只适用于无向或细节平衡网络的结果不同,本文用不连续协议考虑了网络包含有向生成树的更一般情况。另一方面,在不限制网络为驱动响应型或双工型的情况下,假设层间拓扑是单向的。此外,还研究了达成共识所需的时间和精力成本。最后通过算例验证了理论结果。
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Time and Energy Costs for Intra-Layer Consensus of Multi-Layer Networks
Multi-layer network representation has been shown to well characterize real networks, and has revealed some potential phenomenon beyond the interpretation ability of single-layer network successfully. Despite its uniqueness and excitement, intra-layer consensus gets less attention. This paper proposes a discontinuous protocol to address the finite-time intra-layer consensus problem for multi-layer networks. Different from the traditional results of finite-time consensus schemes work only on undirected or detail-balanced networks, a more general case that the network contains a directed spanning tree is considered with a discontinuous protocol. On the other hand, without limiting networks to be of drive-response type or specifically duplexed, the inter-layer topology is assumed to be unidirectional. In addition, both time and energy costs for achieving consensus are studied. Finally, an example is given to verify the theoretical results.
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来源期刊
IEEE Transactions on Network Science and Engineering
IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering
CiteScore
12.60
自引率
9.10%
发文量
393
期刊介绍: The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.
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