A Location-Aided Connectivity and Connection Time-Based Clustering Algorithm for HAP-Based Vehicle Ad Hoc Networks

Mengge Cai; Kai Liu

doi:10.1109/IAEAC.2018.8577768

A Location-Aided Connectivity and Connection Time-Based Clustering Algorithm for HAP-Based Vehicle Ad Hoc Networks

Mengge Cai
, Kai Liu

School of Electronic and Information Engineering

Beihang University
Beijing Key Laboratory for Network-based Cooperative Air Traffic Management
Beijing Laboratory for General Aviation Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

The current railway transit information transformation system depends heavily on perfect landside communication facilities, which will face challenges in the region where landside communication infrastructure is underdeveloped. In this paper, we introduce two kinds of high altitude platforms(HAPs), aerostat and unmanned aerial vehicle(UAV) to construct HAP-based vehicle ad hoc network, which is a promising solution to supplement to the undeveloped landside communication infrastructure. A location-aided connectivity and connection time-based clustering algorithm(LCCT-CA), which takes connectivity and connection time into account, is proposed for the network. Simulation results show that the algorithm perform better than traditional algorithms, especially in terms of rapid networking and reliability.

Original language	English
Title of host publication	Proceedings of 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018
Editors	Bing Xu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	702-708
Number of pages	7
ISBN (Electronic)	9781538645086
DOIs	https://doi.org/10.1109/IAEAC.2018.8577768
State	Published - 14 Dec 2018
Event	3rd IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018 - Chongqing, China Duration: 12 Oct 2018 → 14 Oct 2018

Publication series

Name	Proceedings of 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018

Conference

Conference	3rd IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018
Country/Territory	China
City	Chongqing
Period	12/10/18 → 14/10/18

Keywords

clustering algorithm
connection time
connectivity
high altitude platform (HAP)
stablity metric
vehicle ad hoc network(VANET)

Access to Document

10.1109/IAEAC.2018.8577768

Cite this

Cai, M., & Liu, K. (2018). A Location-Aided Connectivity and Connection Time-Based Clustering Algorithm for HAP-Based Vehicle Ad Hoc Networks. In B. Xu (Ed.), Proceedings of 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018 (pp. 702-708). Article 8577768 (Proceedings of 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAEAC.2018.8577768

Cai, Mengge ; Liu, Kai. / A Location-Aided Connectivity and Connection Time-Based Clustering Algorithm for HAP-Based Vehicle Ad Hoc Networks. Proceedings of 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018. editor / Bing Xu. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 702-708 (Proceedings of 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018).

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title = "A Location-Aided Connectivity and Connection Time-Based Clustering Algorithm for HAP-Based Vehicle Ad Hoc Networks",

abstract = "The current railway transit information transformation system depends heavily on perfect landside communication facilities, which will face challenges in the region where landside communication infrastructure is underdeveloped. In this paper, we introduce two kinds of high altitude platforms(HAPs), aerostat and unmanned aerial vehicle(UAV) to construct HAP-based vehicle ad hoc network, which is a promising solution to supplement to the undeveloped landside communication infrastructure. A location-aided connectivity and connection time-based clustering algorithm(LCCT-CA), which takes connectivity and connection time into account, is proposed for the network. Simulation results show that the algorithm perform better than traditional algorithms, especially in terms of rapid networking and reliability.",

keywords = "clustering algorithm, connection time, connectivity, high altitude platform (HAP), stablity metric, vehicle ad hoc network(VANET)",

author = "Mengge Cai and Kai Liu",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 3rd IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018 ; Conference date: 12-10-2018 Through 14-10-2018",

year = "2018",

month = dec,

day = "14",

doi = "10.1109/IAEAC.2018.8577768",

language = "英语",

series = "Proceedings of 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "702--708",

editor = "Bing Xu",

booktitle = "Proceedings of 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018",

address = "美国",

}

Cai, M & Liu, K 2018, A Location-Aided Connectivity and Connection Time-Based Clustering Algorithm for HAP-Based Vehicle Ad Hoc Networks. in B Xu (ed.), Proceedings of 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018., 8577768, Proceedings of 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018, Institute of Electrical and Electronics Engineers Inc., pp. 702-708, 3rd IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018, Chongqing, China, 12/10/18. https://doi.org/10.1109/IAEAC.2018.8577768

A Location-Aided Connectivity and Connection Time-Based Clustering Algorithm for HAP-Based Vehicle Ad Hoc Networks. / Cai, Mengge; Liu, Kai.
Proceedings of 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018. ed. / Bing Xu. Institute of Electrical and Electronics Engineers Inc., 2018. p. 702-708 8577768 (Proceedings of 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Location-Aided Connectivity and Connection Time-Based Clustering Algorithm for HAP-Based Vehicle Ad Hoc Networks

AU - Cai, Mengge

AU - Liu, Kai

PY - 2018/12/14

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N2 - The current railway transit information transformation system depends heavily on perfect landside communication facilities, which will face challenges in the region where landside communication infrastructure is underdeveloped. In this paper, we introduce two kinds of high altitude platforms(HAPs), aerostat and unmanned aerial vehicle(UAV) to construct HAP-based vehicle ad hoc network, which is a promising solution to supplement to the undeveloped landside communication infrastructure. A location-aided connectivity and connection time-based clustering algorithm(LCCT-CA), which takes connectivity and connection time into account, is proposed for the network. Simulation results show that the algorithm perform better than traditional algorithms, especially in terms of rapid networking and reliability.

AB - The current railway transit information transformation system depends heavily on perfect landside communication facilities, which will face challenges in the region where landside communication infrastructure is underdeveloped. In this paper, we introduce two kinds of high altitude platforms(HAPs), aerostat and unmanned aerial vehicle(UAV) to construct HAP-based vehicle ad hoc network, which is a promising solution to supplement to the undeveloped landside communication infrastructure. A location-aided connectivity and connection time-based clustering algorithm(LCCT-CA), which takes connectivity and connection time into account, is proposed for the network. Simulation results show that the algorithm perform better than traditional algorithms, especially in terms of rapid networking and reliability.

KW - clustering algorithm

KW - connection time

KW - connectivity

KW - high altitude platform (HAP)

KW - stablity metric

KW - vehicle ad hoc network(VANET)

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BT - Proceedings of 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018

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PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Cai M, Liu K. A Location-Aided Connectivity and Connection Time-Based Clustering Algorithm for HAP-Based Vehicle Ad Hoc Networks. In Xu B, editor, Proceedings of 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 702-708. 8577768. (Proceedings of 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2018). doi: 10.1109/IAEAC.2018.8577768

A Location-Aided Connectivity and Connection Time-Based Clustering Algorithm for HAP-Based Vehicle Ad Hoc Networks

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