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Future mobile network management with attractor selection
Several task forces have been working on how to design the future Internet and it is high time for research work to move a step forward to networks on a large scale. In this paper, we propose a future mobile network architecture on a combination of OpenFlow and the attractor selection method to achi...
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creator | Motoyoshi, G. Wakamiya, N. Murata, M. |
description | Several task forces have been working on how to design the future Internet and it is high time for research work to move a step forward to networks on a large scale. In this paper, we propose a future mobile network architecture on a combination of OpenFlow and the attractor selection method to achieve scalability and energy conservation. In addition, we propose novel approaches to wireless network management by extending the attractor selection mechanism in route calculation and signaling cost for energy conservation. First, each mobile node selects the best suited interfaces in accordance with instantaneous live traffic volume. Then, network devices select the best cluster to join to reduce handover signaling cost. Through autonomous decision of each mobile node and network device, the whole wireless network can be managed in an energy efficient and robust manner. |
doi_str_mv | 10.1109/WONS.2012.6152230 |
format | conference_proceeding |
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Through autonomous decision of each mobile node and network device, the whole wireless network can be managed in an energy efficient and robust manner.</description><subject>adaptive clustering</subject><subject>Attractor selection</subject><subject>Computer architecture</subject><subject>energy conservation</subject><subject>Internet</subject><subject>Mathematical model</subject><subject>Mobile communication</subject><subject>Mobile computing</subject><subject>multi-interface selection</subject><subject>OpenFlow</subject><subject>Switches</subject><subject>the future mobile network</subject><isbn>1457717212</isbn><isbn>9781457717215</isbn><isbn>1457717220</isbn><isbn>9781457717208</isbn><isbn>9781457717222</isbn><isbn>1457717204</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpFj81KAzEUhSMiqG0fQNzkBWbMvUkmM0sp1grFLix0WTKZG43Oj2RSim_vgAXP4jt8mwOHsTsQOYCoHvbb17ccBWBegEaU4oLdgtLGgEEUl_8CeM0W4_gpphRmQnnDqtUxHSPxbqhDS7yndBriF-9sb9-poz7xU0gf3KYUrUtD5CO15FIY-jm78rYdaXHuGdutnnbLdbbZPr8sHzdZqETKbGmNdd6BQ40FUi3QV0qS0nJSlKrUGo0jT7KpG2F80XitpKYaoRRg5Yzd_80GIjp8x9DZ-HM4P5W_67RHeA</recordid><startdate>201201</startdate><enddate>201201</enddate><creator>Motoyoshi, G.</creator><creator>Wakamiya, N.</creator><creator>Murata, M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201201</creationdate><title>Future mobile network management with attractor selection</title><author>Motoyoshi, G. ; Wakamiya, N. ; Murata, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-a8a7acfc1c25262eb02f943e45326223485527cefe3dbd07f6df5435eb21801a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>adaptive clustering</topic><topic>Attractor selection</topic><topic>Computer architecture</topic><topic>energy conservation</topic><topic>Internet</topic><topic>Mathematical model</topic><topic>Mobile communication</topic><topic>Mobile computing</topic><topic>multi-interface selection</topic><topic>OpenFlow</topic><topic>Switches</topic><topic>the future mobile network</topic><toplevel>online_resources</toplevel><creatorcontrib>Motoyoshi, G.</creatorcontrib><creatorcontrib>Wakamiya, N.</creatorcontrib><creatorcontrib>Murata, M.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Motoyoshi, G.</au><au>Wakamiya, N.</au><au>Murata, M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Future mobile network management with attractor selection</atitle><btitle>2012 9th Annual Conference on Wireless On-Demand Network Systems and Services (WONS)</btitle><stitle>WONS</stitle><date>2012-01</date><risdate>2012</risdate><spage>27</spage><epage>30</epage><pages>27-30</pages><isbn>1457717212</isbn><isbn>9781457717215</isbn><eisbn>1457717220</eisbn><eisbn>9781457717208</eisbn><eisbn>9781457717222</eisbn><eisbn>1457717204</eisbn><abstract>Several task forces have been working on how to design the future Internet and it is high time for research work to move a step forward to networks on a large scale. In this paper, we propose a future mobile network architecture on a combination of OpenFlow and the attractor selection method to achieve scalability and energy conservation. In addition, we propose novel approaches to wireless network management by extending the attractor selection mechanism in route calculation and signaling cost for energy conservation. First, each mobile node selects the best suited interfaces in accordance with instantaneous live traffic volume. Then, network devices select the best cluster to join to reduce handover signaling cost. Through autonomous decision of each mobile node and network device, the whole wireless network can be managed in an energy efficient and robust manner.</abstract><pub>IEEE</pub><doi>10.1109/WONS.2012.6152230</doi><tpages>4</tpages></addata></record> |
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ispartof | 2012 9th Annual Conference on Wireless On-Demand Network Systems and Services (WONS), 2012, p.27-30 |
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subjects | adaptive clustering Attractor selection Computer architecture energy conservation Internet Mathematical model Mobile communication Mobile computing multi-interface selection OpenFlow Switches the future mobile network |
title | Future mobile network management with attractor selection |
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