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Abstract
The characterization of topological uncertainty in wireless networks using the formalism of graph entropy has received interest in the spatial networks community. In this paper, we develop lower bounds on the entropy of a wireless network by conditioning on potential network observables. Two approaches are considered: 1) conditioning on subgraphs, and 2) conditioning on node positions. The first approach is shown to yield a relatively tight bound on the network entropy. The second yields a loose bound, in general, but it provides insight into the dependence between node positions (modelled using a homogeneous binomial point process in this work) and the network topology.
Original language | English |
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Title of host publication | 2018 16th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2018 |
Number of pages | 6 |
Publication date | May 2018 |
ISBN (Print) | 978-1-5386-4621-2 |
ISBN (Electronic) | 978-3-903176-00-3 |
DOIs | |
Publication status | Published - May 2018 |
Event | 16th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks - Shanghai , China Duration: 7 May 2018 → 11 May 2018 |
Conference
Conference | 16th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks |
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Country/Territory | China |
City | Shanghai |
Period | 07/05/2018 → 11/05/2018 |
Keywords
- Graph entropy
- conditional entropy
- network topology
- random geometric graphs
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Dive into the research topics of 'On the Conditional Entropy of Wireless Networks'. Together they form a unique fingerprint.Projects
- 1 Finished
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Managing Interference in Dense Wireless Networks: An Approach Inspired by the Physics of Large Systems
Badiu, M. A.
01/03/2016 → 28/02/2018
Project: Research