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相关论文: Age of Gossip With Time-Varying Topologies

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We consider a source that shares updates with a network of $n$ gossiping nodes. The network's topology switches between two arbitrary topologies, with switching governed by a two-state continuous time Markov chain (CTMC) process.…

信息论 · 计算机科学 2025-04-28 Arunabh Srivastava , Thomas Jacob Maranzatto , Sennur Ulukus

We consider a gossip network consisting of a source generating updates and $n$ nodes connected according to a given graph structure. The source keeps updates of a process, that might be generated or observed, and shares them with the…

信息论 · 计算机科学 2024-05-30 Arunabh Srivastava , Sennur Ulukus

We investigate information accuracy in timeliness-based gossip networks where the source evolves according to a continuous-time Markov chain (CTMC) with $M$ states and disseminates status updates to a network of $n$ nodes. In addition to…

信息论 · 计算机科学 2026-03-03 Emirhan Tekez , Melih Bastopcu , Sinan Gezici

A source node updates its status as a point process and also forwards its updates to a network of observer nodes. Within the network of observers, these updates are forwarded as point processes from node to node. Each node wishes its…

信息论 · 计算机科学 2021-02-08 Roy D. Yates

A gossip network is considered in which a source node updates its status while other nodes in the network aim at keeping track of it as it varies over time. Information gets disseminated by the source sending status updates to the nodes,…

信息论 · 计算机科学 2025-09-26 Irtiza Hasan , Ahmed Arafa

We consider a gossip network consisting of a source generating updates and $n$ nodes connected in a two-dimensional square grid. The source keeps updates of a process, that might be generated or observed, and shares them with the grid…

信息论 · 计算机科学 2023-07-18 Arunabh Srivastava , Sennur Ulukus

We consider gossip networks consisting of a source that maintains the current version of a file, $n$ nodes that use asynchronous gossip mechanisms to disseminate fresh information in the network, and an oblivious adversary who infects the…

信息论 · 计算机科学 2023-01-02 Priyanka Kaswan , Sennur Ulukus

We consider a network consisting of a single source and $n$ receiver nodes that are grouped into $m$ equal size communities, i.e., clusters, where each cluster includes $k$ nodes and is served by a dedicated cluster head. The source node…

信息论 · 计算机科学 2021-07-22 Baturalp Buyukates , Melih Bastopcu , Sennur Ulukus

We consider a gossiping network where a source forwards updates to a set of $n$ gossiping nodes that are placed in an arbitrary graph structure and gossip with their neighbors. In this paper, we analyze how mobility of nodes affects the…

信息论 · 计算机科学 2024-09-27 Arunabh Srivastava , Sennur Ulukus

We consider a network consisting of a single source and $n$ receiver nodes that are grouped into equal-sized clusters. We use cluster heads in each cluster to facilitate communication between the source and the nodes within that cluster.…

信息论 · 计算机科学 2021-09-20 Baturalp Buyukates , Melih Bastopcu , Sennur Ulukus

We consider a semantics-aware communication system, where timeliness is the semantic measure, with a source which maintains the most current version of a file, and a network of $n$ user nodes with the goal to acquire the latest version of…

信息论 · 计算机科学 2023-03-21 Priyanka Kaswan , Sennur Ulukus

We consider a network consisting of $n$ nodes connected in a ring formation and a source that generates updates according to a renewal process and disseminates them to the ring network according to a Poisson process. The nodes in the…

信息论 · 计算机科学 2026-05-07 Arunabh Srivastava , Sennur Ulukus

We introduce models of gossip based communication networks in which each node is simultaneously a sensor, a relay and a user of information. We model the status of ages of information between nodes as a discrete time Markov chain. In this…

概率论 · 数学 2013-10-30 Jori Selen , Yoni Nazarathy , Lachlan L. H. Andrew , Hai L. Vu

Gossiping is a communication mechanism, used for fast information dissemination in a network, where each node of the network randomly shares its information with the neighboring nodes. To characterize the notion of fastness in the context…

信息论 · 计算机科学 2023-12-27 Priyanka Kaswan , Purbesh Mitra , Arunabh Srivastava , Sennur Ulukus

We consider information update systems on a gossip network, which consists of a single source and $n$ receiver nodes. The source encrypts the information into $n$ distinct keys with version stamps, sending a unique key to each node. For…

信息论 · 计算机科学 2024-09-18 Erkan Bayram , Melih Bastopcu , Mohamed-Ali Belabbas , Tamer Başar

We consider a fully connected network consisting of a source that maintains the current version of a file, $n$ nodes that use asynchronous gossip mechanisms to disseminate fresh information in the network, and an adversary who infects the…

信息论 · 计算机科学 2022-05-18 Priyanka Kaswan , Sennur Ulukus

We study networks of gossiping users where a source observing a process sends updates to an underlying graph. Nodes in the graph update their neighbors randomly and nodes always accept packets that have newer information, thus attempting to…

信息论 · 计算机科学 2025-01-23 Thomas Jacob Maranzatto , Arunabh Srivastava , Sennur Ulukus

In this paper we study gossip networks where a source observing a process sends updates to an underlying graph. Nodes in the graph communicate to their neighbors by randomly sending updates. Our interest is studying the version age of…

信息论 · 计算机科学 2025-09-18 Thomas Jacob Maranzatto

We consider a cellular network containing $n$ nodes where nodes within a cell gossip with each other in a fully-connected fashion and a source shares updates with these nodes via a mobile drone. The drone receives source updates and shares…

信息论 · 计算机科学 2026-05-07 Arunabh Srivastava , Sennur Ulukus

In gossip networks, a source node forwards time-stamped updates to a network of observers according to a Poisson process. The observers then update each other on this information according to Poisson processes as well. The Age of…

信息论 · 计算机科学 2024-09-20 Thomas Jacob Maranzatto , Marcus Michelen
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