Contact ability based topology control for predictable delay-tolerant networks

Abstract In predictable delay tolerant networks (PDTNs), the network topology is known a priori or can be predicted over time, such as space planet networks and vehicular networks based on public buses or trains. Due to the intermittent connectivity, network partitioning, and long delays in PDTNs, m...

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Autores principales:	Hongsheng Chen, Chunhui Wu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9930dc506d1448099e582c90ca87a6ad
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spelling	oai:doaj.org-article:9930dc506d1448099e582c90ca87a6ad2021-11-21T12:21:13ZContact ability based topology control for predictable delay-tolerant networks10.1038/s41598-021-01864-52045-2322https://doaj.org/article/9930dc506d1448099e582c90ca87a6ad2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01864-5https://doaj.org/toc/2045-2322Abstract In predictable delay tolerant networks (PDTNs), the network topology is known a priori or can be predicted over time, such as space planet networks and vehicular networks based on public buses or trains. Due to the intermittent connectivity, network partitioning, and long delays in PDTNs, most of the researchers mainly focuses on routing and data access research. However, topology control can improve energy effectiveness and increase the communication capacity, thus how to maintain the dynamic topology of PDTNs becomes crucial. In this paper, a contact ability based topology control method for PDTNs is proposed. First, the contact ability is calculated using our contact ability calculation model, and then the PDTNs is modeled as an undirected weighted contact graph which includes spatial and contact ability information. The topology control problem is defined as constructing a minimum spanning tree (MST) that the contact ability of the MST is maximized. We propose two algorithms based on undirected weighted contact graph to solve the defined problem, and compare them with the latest method in terms of energy cost and contact ability. Extensive simulation experiments demonstrate that the proposed algorithms can guarantee data transmission effectively, and reduce the network energy consumption significantly.Hongsheng ChenChunhui WuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Hongsheng Chen Chunhui Wu Contact ability based topology control for predictable delay-tolerant networks
description	Abstract In predictable delay tolerant networks (PDTNs), the network topology is known a priori or can be predicted over time, such as space planet networks and vehicular networks based on public buses or trains. Due to the intermittent connectivity, network partitioning, and long delays in PDTNs, most of the researchers mainly focuses on routing and data access research. However, topology control can improve energy effectiveness and increase the communication capacity, thus how to maintain the dynamic topology of PDTNs becomes crucial. In this paper, a contact ability based topology control method for PDTNs is proposed. First, the contact ability is calculated using our contact ability calculation model, and then the PDTNs is modeled as an undirected weighted contact graph which includes spatial and contact ability information. The topology control problem is defined as constructing a minimum spanning tree (MST) that the contact ability of the MST is maximized. We propose two algorithms based on undirected weighted contact graph to solve the defined problem, and compare them with the latest method in terms of energy cost and contact ability. Extensive simulation experiments demonstrate that the proposed algorithms can guarantee data transmission effectively, and reduce the network energy consumption significantly.
format	article
author	Hongsheng Chen Chunhui Wu
author_facet	Hongsheng Chen Chunhui Wu
author_sort	Hongsheng Chen
title	Contact ability based topology control for predictable delay-tolerant networks
title_short	Contact ability based topology control for predictable delay-tolerant networks
title_full	Contact ability based topology control for predictable delay-tolerant networks
title_fullStr	Contact ability based topology control for predictable delay-tolerant networks
title_full_unstemmed	Contact ability based topology control for predictable delay-tolerant networks
title_sort	contact ability based topology control for predictable delay-tolerant networks
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/9930dc506d1448099e582c90ca87a6ad
work_keys_str_mv	AT hongshengchen contactabilitybasedtopologycontrolforpredictabledelaytolerantnetworks AT chunhuiwu contactabilitybasedtopologycontrolforpredictabledelaytolerantnetworks
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Contact ability based topology control for predictable delay-tolerant networks

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