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Informational properties of networks under communication constraints

Total Cost €


EC-Contrib. €






Project "InfoNet" data sheet

The following table provides information about the project.


Organization address
address: RAMAT AVIV
city: TEL AVIV
postcode: 69978

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Israel [IL]
 Total cost 1˙474˙375 €
 EC max contribution 1˙474˙375 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2019-STG
 Funding Scheme ERC-STG
 Starting year 2020
 Duration (year-month-day) from 2020-04-01   to  2025-03-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TEL AVIV UNIVERSITY IL (TEL AVIV) coordinator 1˙474˙375.00


 Project objective

Motivated by applications to information networks such as wireless and ad-hoc, this research will explore fundamental informational properties of networks under communication constraints. In the standard approach, the network is assumed to be fully connected and/or the information it carries is treated as a commodity. Here, we will investigate a markedly different paradigm where limitations on the nodes’ connectivity in the network are imposed and pieces of information can be combined. Examples include storage systems in which the links are established by physical proximity or system architecture, as well as low-power wide-area networks for Internet-of-Things applications. We will consider a broad spectrum of models and topics ranging from efficient information encoding and network resiliency to information loss under corrupt nodes to cooperative models and network information accessibility. We will study these topics under specific network families and random networks. While prominently theoretic, the proposed investigation is expected to yield insights and design rules for the construction of information networks, e.g., via new data placement techniques and communication protocols. Moreover, we plan to devote part of our study to practical aspects by implementing and testing the theory developed in real-world networks. Such developments may well lead to a paradigm shift in the design of resource-limited wireless communication systems, and potentially reduce energy consumption, delays, and increase the overall information reliability. Lastly, our motivation stems from the perception that naturally occurring phenomena in general networks are dependent on the information carried by them; this perception is what drives both the research questions we pose and the mathematical model we define. Consequently, the theoretical results are expected to be practical and influential across different disciplines and research areas.

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