Green energy and content-aware data transmissions in maritime wireless communication networks

In this paper, we investigate the network throughput and energy sustainability of green-energy-powered maritime wireless communication networks. Specifically, we study how to optimize the schedule of data traffic tasks to maximize the network throughput with Worldwide Interoperability for Microw...

Full description

Saved in:
Bibliographic Details
Main Authors: Yang, Tingting, Zheng, Zhongming, Liang, Hao, Deng, Ruilong, Cheng, Nan, Shen, Xuemin
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2015
Subjects:
Online Access:https://hdl.handle.net/10356/79399
http://hdl.handle.net/10220/25709
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-79399
record_format dspace
spelling sg-ntu-dr.10356-793992020-03-07T13:57:23Z Green energy and content-aware data transmissions in maritime wireless communication networks Yang, Tingting Zheng, Zhongming Liang, Hao Deng, Ruilong Cheng, Nan Shen, Xuemin School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems In this paper, we investigate the network throughput and energy sustainability of green-energy-powered maritime wireless communication networks. Specifically, we study how to optimize the schedule of data traffic tasks to maximize the network throughput with Worldwide Interoperability for Microwave Access (WiMAX) technology. To this end, we formulate it as an optimization problem to maximize weight of the total delivered data packets, while ensuring that harvested energy can successfully support transmission tasks. The formulated energy and content aware vessel throughput maximize problem (EVTMP) is proved to be NP-complete. We propose a green energy and content aware data transmission framework that incorporates the energy limitation of both infostations and Delay Tolerant Network (DTN) throw-boxes. The green energy buffer is modeled G=G=1 queue, and two heuristic algorithms are designed to optimize the transmission throughput and energy sustainability. Extensive simulations demonstrate that our proposed algorithms can provide simple yet efficient solutions in a maritime wireless communication network with sustainable energy. Accepted version 2015-06-01T10:06:19Z 2019-12-06T13:24:25Z 2015-06-01T10:06:19Z 2019-12-06T13:24:25Z 2014 2014 Journal Article Yang, T., Zheng, Z., Liang, H., Deng, R., Cheng, N., & Shen, X. (2014). Green energy and content-aware data transmissions in maritime wireless communication networks. IEEE Transactions on Intelligent Transportation Systems, 16(2), 751-762. 1524-9050 https://hdl.handle.net/10356/79399 http://hdl.handle.net/10220/25709 10.1109/TITS.2014.2343958 en IEEE transactions on intelligent transportation systems © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/TITS.2014.2343958]. 12 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems
Yang, Tingting
Zheng, Zhongming
Liang, Hao
Deng, Ruilong
Cheng, Nan
Shen, Xuemin
Green energy and content-aware data transmissions in maritime wireless communication networks
description In this paper, we investigate the network throughput and energy sustainability of green-energy-powered maritime wireless communication networks. Specifically, we study how to optimize the schedule of data traffic tasks to maximize the network throughput with Worldwide Interoperability for Microwave Access (WiMAX) technology. To this end, we formulate it as an optimization problem to maximize weight of the total delivered data packets, while ensuring that harvested energy can successfully support transmission tasks. The formulated energy and content aware vessel throughput maximize problem (EVTMP) is proved to be NP-complete. We propose a green energy and content aware data transmission framework that incorporates the energy limitation of both infostations and Delay Tolerant Network (DTN) throw-boxes. The green energy buffer is modeled G=G=1 queue, and two heuristic algorithms are designed to optimize the transmission throughput and energy sustainability. Extensive simulations demonstrate that our proposed algorithms can provide simple yet efficient solutions in a maritime wireless communication network with sustainable energy.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Yang, Tingting
Zheng, Zhongming
Liang, Hao
Deng, Ruilong
Cheng, Nan
Shen, Xuemin
format Article
author Yang, Tingting
Zheng, Zhongming
Liang, Hao
Deng, Ruilong
Cheng, Nan
Shen, Xuemin
author_sort Yang, Tingting
title Green energy and content-aware data transmissions in maritime wireless communication networks
title_short Green energy and content-aware data transmissions in maritime wireless communication networks
title_full Green energy and content-aware data transmissions in maritime wireless communication networks
title_fullStr Green energy and content-aware data transmissions in maritime wireless communication networks
title_full_unstemmed Green energy and content-aware data transmissions in maritime wireless communication networks
title_sort green energy and content-aware data transmissions in maritime wireless communication networks
publishDate 2015
url https://hdl.handle.net/10356/79399
http://hdl.handle.net/10220/25709
_version_ 1681039795345686528