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 Microwave...
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| Veröffentlicht in: | IEEE transactions on intelligent transportation systems 2015-04, Vol.16 (2), p.751-762 |
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| creator | Yang, Tingting Zheng, Zhongming Liang, Hao Deng, Ruilong Cheng, Nan Shen, Xuemin |
| 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 technology. To this end, we formulate it as an optimization problem to maximize the 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 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 throw boxes. The green energy buffer is modeled as a 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. |
| doi_str_mv | 10.1109/TITS.2014.2343958 |
| format | Article |
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Specifically, we study how to optimize the schedule of data traffic tasks to maximize the network throughput with Worldwide Interoperability for Microwave Access technology. To this end, we formulate it as an optimization problem to maximize the 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 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 throw boxes. The green energy buffer is modeled as a G/G/1 queue, and two heuristic algorithms are designed to optimize the transmission throughput and energy sustainability. 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(IEEE) Apr 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c542t-f80cf1c7155c00c19bffe0d7ee12bdb4dd05ca71e40b7c0e9bccf2eddef75f263</citedby><cites>FETCH-LOGICAL-c542t-f80cf1c7155c00c19bffe0d7ee12bdb4dd05ca71e40b7c0e9bccf2eddef75f263</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6894603$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27903,27904,54736</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6894603$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Yang, Tingting</creatorcontrib><creatorcontrib>Zheng, Zhongming</creatorcontrib><creatorcontrib>Liang, Hao</creatorcontrib><creatorcontrib>Deng, Ruilong</creatorcontrib><creatorcontrib>Cheng, Nan</creatorcontrib><creatorcontrib>Shen, Xuemin</creatorcontrib><title>Green Energy and Content-Aware Data Transmissions in Maritime Wireless Communication Networks</title><title>IEEE transactions on intelligent transportation systems</title><addtitle>TITS</addtitle><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 technology. To this end, we formulate it as an optimization problem to maximize the 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 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 throw boxes. The green energy buffer is modeled as a 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.</description><subject>Algorithm design and analysis</subject><subject>Algorithms</subject><subject>Clean energy</subject><subject>Data transmission</subject><subject>Diffusion approximation</subject><subject>Energy transmission</subject><subject>Green products</subject><subject>Heuristic</subject><subject>leaky bucket</subject><subject>Maritime</subject><subject>maritime wideband communication</subject><subject>Networks</subject><subject>Renewable energy</subject><subject>Streaming media</subject><subject>Sustainability</subject><subject>sustainable energy</subject><subject>Throughput</subject><subject>WiMAX</subject><subject>Wireless communication</subject><subject>Wireless communications</subject><subject>Wireless networks</subject><issn>1524-9050</issn><issn>1558-0016</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqNkcFKAzEQhhdRsFYfQLwEvHjZmmSTzeZYaq2FqgcrnmTJZieS2s3WZJfStzel4sGTpxmG7x9m-JLkkuARIVjeLufLlxHFhI1oxjLJi6NkQDgvUoxJfrzvKUsl5vg0OQthFaeMEzJI3mcewKGpA_-xQ8rVaNK6DlyXjrfKA7pTnUJLr1xobAi2dQFZhx6Vt51tAL1ZD2sIIaaapndWqy4y6Am6bes_w3lyYtQ6wMVPHSav99Pl5CFdPM_mk_Ei1ZzRLjUF1oZoEQ_WGGsiK2MA1wKA0KquWF1jrpUgwHAlNAZZaW0o1DUYwQ3Ns2Fyc9i78e1XD6Er47Ua1mvloO1DSXIpBKeZlP9AhZAZK6iI6PUfdNX23sVHIlVwIrngWaTIgdK-DcGDKTfeNsrvSoLLvZty76bcuyl_3MTM1SFjAeCXzwvJcpxl3x2ei-4</recordid><startdate>20150401</startdate><enddate>20150401</enddate><creator>Yang, Tingting</creator><creator>Zheng, Zhongming</creator><creator>Liang, Hao</creator><creator>Deng, Ruilong</creator><creator>Cheng, Nan</creator><creator>Shen, Xuemin</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Extensive simulations demonstrate that our proposed algorithms can provide simple yet efficient solutions in a maritime wireless communication network with sustainable energy.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TITS.2014.2343958</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Algorithm design and analysis Algorithms Clean energy Data transmission Diffusion approximation Energy transmission Green products Heuristic leaky bucket Maritime maritime wideband communication Networks Renewable energy Streaming media Sustainability sustainable energy Throughput WiMAX Wireless communication Wireless communications Wireless networks |
| title | Green Energy and Content-Aware Data Transmissions in Maritime Wireless Communication Networks |
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