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...
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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 |
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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 |
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1681039795345686528 |