Analyzing temporal metrics of public transportation for designing scalable delay-tolerant networks

Abstract

Delay-tolerant networks can complement cellular networks to address today's growth in demand for wireless data. We are interested in delay-tolerant networks for reaching out into underserved regions in growing economies, when distributing media and videos from cities to rural areas. To transport the data into these regions, public transportation vehicles equipped with wireless infostations are used instead of a traditional cellular infrastructure. We focus on media distribution in support of entrepreneurs that operate mobile cinemas in rural villages. Temporal metrics of a public transportation network are determined, together with the overall value of exploiting the mobility of participating vehicles. A dense transportation network of Zurich (Switzerland), which is known to operate reliably, is analyzed for the purpose of benchmarking. Nodes are assumed to be bus stations that are temporarily in contact with each other when a bus travels between them. Our analysis provides guidelines to design and build a hierarchical topological structure of similar networks. Figure 1: Media distribution with infostations: A mobile infostation is operated with the help of buses that travel to rural villages. There, the mobile cinema receive updates while in wireless range of mobile infostations.

Evaluating test-retest reliability and sex/age-related effects on temporal clustering coefficient of dynamic functional brain networks

“…The first major contribution of this study is the evaluation of test-retest reliability of temporal clustering coefficient in human brain network for the first time to our knowledge. The temporal clustering coefficient (also named temporal correlation coefficient) has previously been used to characterize the persistence of connections over time in timevarying systems such as the public transportation system (Galati et al, 2013), trade network (Büttner et al, 2016), and the human brain functional networks (Long et al, 2020a;Ren et al, 2017;Sizemore and Bassett, 2018). However, it is unknown about the reliability of this approach when applying to human brains.…”

Analyzing information propagation in a transoceanic aircraft delay tolerant network

“…We believe that it is possible to change the network structure in such a way that those results can be mimicked in other less connected areas of the network. To achieve this, we propose to change the network architecture by equipping a handpicked set of selected nodes with satellite links or high range radio systems, with the purpose of creating a network backbone similar to the ones displayed in [8]. We will further discuss this possibility in the future work section.…”

Methodological evaluation of architectural alternatives for an aeronautical delay tolerant network

“…It is assumed that the mobility of nodes forms communities of related nodes, and those nodes located in central locations within the community are chosen as relays of data. Another interesting approach that makes use of graph analysis in DTN networks is [14], that is based on a public bus transport network, as opposed to previous works which create their graph based on contacts between mobile nodes. In this paper the nodes of the graph are the bus stops, and the edges appear when a bus moves between two stops.…”

“…We conduct this evaluation through the analysis of the graph representation of the network. Graph analysis is an established methodology applied to social networks that has been recently used as a powerful and general tool to forward data in DTNs [12][13][14]. We consider several centrality graph metrics [15], such as degree or betweenness, to determine the smallest possible set of nodes to be equipped with satellite links.…”