On Multi Agent based modeling and control in large scale wireless communication systems for improved resource allocation performance
The goal of this paper is to investigate the application of the Multi Agent technology in modeling and simulating large scale wireless communication systems. There are very few studies using the multi agent concept as an alternative approach for designing and simulating resource allocation in cellul...
Gespeichert in:
| Veröffentlicht in: | Telecommunication systems 2013-03, Vol.52 (3), p.1657-1675 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1675 |
|---|---|
| container_issue | 3 |
| container_start_page | 1657 |
| container_title | Telecommunication systems |
| container_volume | 52 |
| creator | Papazoglou, P. M. Karras, D. A. Papademetriou, R. C. |
| description | The goal of this paper is to investigate the application of the Multi Agent technology in modeling and simulating large scale wireless communication systems. There are very few studies using the multi agent concept as an alternative approach for designing and simulating resource allocation in cellular systems and especially in large scale ones. Thus, a novel modeling methodology of wireless network services exploiting multi agent technology and investigating in depth critical agent issues is proposed in this paper. It is shown that the multi agent concept proves to be a suitable solution for modeling and implementing cellular network services simulation even in the case of large scale wireless networks. The whole investigation is divided in two phases: (a) multi agent modeling analysis and (b) multi agent model development for controlling network performance. Simulation results show the effectiveness of the proposed multi agent model when is applied in combination with the state of the art event scheduling mechanism. |
| doi_str_mv | 10.1007/s11235-011-9658-2 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1417911846</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1417911846</sourcerecordid><originalsourceid>FETCH-LOGICAL-c349t-8950b91f9fe467d409adbfc256c8c5bf34429efd3eb8e830ecef7979d48adeb83</originalsourceid><addsrcrecordid>eNp1kUFr3DAQhU1JoUnaH9CboJde3Ggs2ZaOIaRJISGX9ixkebQoyNJWY7fk3h9eLZtDCOQkofne441e03wG_g04Hy8IoBN9ywFaPfSq7d41p9CPXatlDyf1zkG1Ug3yQ3NG9Mj5QaVPm38Pid1vcQ3scodpZZMlnNmSZ4wh7ZhNM3M5rSVHFhKLtuyQkbMR2d9QMCJRnS_LloKza8iJ0ROtuBDzubCw7Ev-U_0KUt6KQ2ZjzM_gHktlFpscfmzeexsJPz2f582v79c_r27bu4ebH1eXd60TUq-t0j2fNHjtUQ7jLLm28-Rd1w9OuX7yQspOo58FTgqV4OjQj3rUs1R2rm_ivPl69K2xfm9Iq1kCOYzRJswbGZAwagAlh4p-eYU-1g1STWdAjCB6IbiuFBwpVzJRQW_2JSy2PBng5vDD5tiLqb2YQy-mq5ruqKHKph2WF85viv4D2d6TcQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1371353309</pqid></control><display><type>article</type><title>On Multi Agent based modeling and control in large scale wireless communication systems for improved resource allocation performance</title><source>SpringerLink Journals</source><creator>Papazoglou, P. M. ; Karras, D. A. ; Papademetriou, R. C.</creator><creatorcontrib>Papazoglou, P. M. ; Karras, D. A. ; Papademetriou, R. C.</creatorcontrib><description>The goal of this paper is to investigate the application of the Multi Agent technology in modeling and simulating large scale wireless communication systems. There are very few studies using the multi agent concept as an alternative approach for designing and simulating resource allocation in cellular systems and especially in large scale ones. Thus, a novel modeling methodology of wireless network services exploiting multi agent technology and investigating in depth critical agent issues is proposed in this paper. It is shown that the multi agent concept proves to be a suitable solution for modeling and implementing cellular network services simulation even in the case of large scale wireless networks. The whole investigation is divided in two phases: (a) multi agent modeling analysis and (b) multi agent model development for controlling network performance. Simulation results show the effectiveness of the proposed multi agent model when is applied in combination with the state of the art event scheduling mechanism.</description><identifier>ISSN: 1018-4864</identifier><identifier>EISSN: 1572-9451</identifier><identifier>DOI: 10.1007/s11235-011-9658-2</identifier><language>eng</language><publisher>Boston: Springer US</publisher><subject>Analysis ; Artificial Intelligence ; Business and Management ; Cellular ; Cellular communication ; Computer Communication Networks ; Computer simulation ; Electric communication systems ; Investigations ; IT in Business ; Multiagent systems ; Network management systems ; Probability Theory and Stochastic Processes ; Resource allocation ; Scheduling ; Simulation ; Studies ; Telecommunications systems ; User services ; Wireless communication systems ; Wireless communications ; Wireless networks</subject><ispartof>Telecommunication systems, 2013-03, Vol.52 (3), p.1657-1675</ispartof><rights>Springer Science+Business Media, LLC 2011</rights><rights>Springer Science+Business Media New York 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c349t-8950b91f9fe467d409adbfc256c8c5bf34429efd3eb8e830ecef7979d48adeb83</citedby><cites>FETCH-LOGICAL-c349t-8950b91f9fe467d409adbfc256c8c5bf34429efd3eb8e830ecef7979d48adeb83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11235-011-9658-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11235-011-9658-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Papazoglou, P. M.</creatorcontrib><creatorcontrib>Karras, D. A.</creatorcontrib><creatorcontrib>Papademetriou, R. C.</creatorcontrib><title>On Multi Agent based modeling and control in large scale wireless communication systems for improved resource allocation performance</title><title>Telecommunication systems</title><addtitle>Telecommun Syst</addtitle><description>The goal of this paper is to investigate the application of the Multi Agent technology in modeling and simulating large scale wireless communication systems. There are very few studies using the multi agent concept as an alternative approach for designing and simulating resource allocation in cellular systems and especially in large scale ones. Thus, a novel modeling methodology of wireless network services exploiting multi agent technology and investigating in depth critical agent issues is proposed in this paper. It is shown that the multi agent concept proves to be a suitable solution for modeling and implementing cellular network services simulation even in the case of large scale wireless networks. The whole investigation is divided in two phases: (a) multi agent modeling analysis and (b) multi agent model development for controlling network performance. Simulation results show the effectiveness of the proposed multi agent model when is applied in combination with the state of the art event scheduling mechanism.</description><subject>Analysis</subject><subject>Artificial Intelligence</subject><subject>Business and Management</subject><subject>Cellular</subject><subject>Cellular communication</subject><subject>Computer Communication Networks</subject><subject>Computer simulation</subject><subject>Electric communication systems</subject><subject>Investigations</subject><subject>IT in Business</subject><subject>Multiagent systems</subject><subject>Network management systems</subject><subject>Probability Theory and Stochastic Processes</subject><subject>Resource allocation</subject><subject>Scheduling</subject><subject>Simulation</subject><subject>Studies</subject><subject>Telecommunications systems</subject><subject>User services</subject><subject>Wireless communication systems</subject><subject>Wireless communications</subject><subject>Wireless networks</subject><issn>1018-4864</issn><issn>1572-9451</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kUFr3DAQhU1JoUnaH9CboJde3Ggs2ZaOIaRJISGX9ixkebQoyNJWY7fk3h9eLZtDCOQkofne441e03wG_g04Hy8IoBN9ywFaPfSq7d41p9CPXatlDyf1zkG1Ug3yQ3NG9Mj5QaVPm38Pid1vcQ3scodpZZMlnNmSZ4wh7ZhNM3M5rSVHFhKLtuyQkbMR2d9QMCJRnS_LloKza8iJ0ROtuBDzubCw7Ev-U_0KUt6KQ2ZjzM_gHktlFpscfmzeexsJPz2f582v79c_r27bu4ebH1eXd60TUq-t0j2fNHjtUQ7jLLm28-Rd1w9OuX7yQspOo58FTgqV4OjQj3rUs1R2rm_ivPl69K2xfm9Iq1kCOYzRJswbGZAwagAlh4p-eYU-1g1STWdAjCB6IbiuFBwpVzJRQW_2JSy2PBng5vDD5tiLqb2YQy-mq5ruqKHKph2WF85viv4D2d6TcQ</recordid><startdate>20130301</startdate><enddate>20130301</enddate><creator>Papazoglou, P. M.</creator><creator>Karras, D. A.</creator><creator>Papademetriou, R. C.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7SP</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M2P</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20130301</creationdate><title>On Multi Agent based modeling and control in large scale wireless communication systems for improved resource allocation performance</title><author>Papazoglou, P. M. ; Karras, D. A. ; Papademetriou, R. C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c349t-8950b91f9fe467d409adbfc256c8c5bf34429efd3eb8e830ecef7979d48adeb83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Analysis</topic><topic>Artificial Intelligence</topic><topic>Business and Management</topic><topic>Cellular</topic><topic>Cellular communication</topic><topic>Computer Communication Networks</topic><topic>Computer simulation</topic><topic>Electric communication systems</topic><topic>Investigations</topic><topic>IT in Business</topic><topic>Multiagent systems</topic><topic>Network management systems</topic><topic>Probability Theory and Stochastic Processes</topic><topic>Resource allocation</topic><topic>Scheduling</topic><topic>Simulation</topic><topic>Studies</topic><topic>Telecommunications systems</topic><topic>User services</topic><topic>Wireless communication systems</topic><topic>Wireless communications</topic><topic>Wireless networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Papazoglou, P. M.</creatorcontrib><creatorcontrib>Karras, D. A.</creatorcontrib><creatorcontrib>Papademetriou, R. C.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global</collection><collection>Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Telecommunication systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Papazoglou, P. M.</au><au>Karras, D. A.</au><au>Papademetriou, R. C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>On Multi Agent based modeling and control in large scale wireless communication systems for improved resource allocation performance</atitle><jtitle>Telecommunication systems</jtitle><stitle>Telecommun Syst</stitle><date>2013-03-01</date><risdate>2013</risdate><volume>52</volume><issue>3</issue><spage>1657</spage><epage>1675</epage><pages>1657-1675</pages><issn>1018-4864</issn><eissn>1572-9451</eissn><abstract>The goal of this paper is to investigate the application of the Multi Agent technology in modeling and simulating large scale wireless communication systems. There are very few studies using the multi agent concept as an alternative approach for designing and simulating resource allocation in cellular systems and especially in large scale ones. Thus, a novel modeling methodology of wireless network services exploiting multi agent technology and investigating in depth critical agent issues is proposed in this paper. It is shown that the multi agent concept proves to be a suitable solution for modeling and implementing cellular network services simulation even in the case of large scale wireless networks. The whole investigation is divided in two phases: (a) multi agent modeling analysis and (b) multi agent model development for controlling network performance. Simulation results show the effectiveness of the proposed multi agent model when is applied in combination with the state of the art event scheduling mechanism.</abstract><cop>Boston</cop><pub>Springer US</pub><doi>10.1007/s11235-011-9658-2</doi><tpages>19</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1018-4864 |
| ispartof | Telecommunication systems, 2013-03, Vol.52 (3), p.1657-1675 |
| issn | 1018-4864 1572-9451 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1417911846 |
| source | SpringerLink Journals |
| subjects | Analysis Artificial Intelligence Business and Management Cellular Cellular communication Computer Communication Networks Computer simulation Electric communication systems Investigations IT in Business Multiagent systems Network management systems Probability Theory and Stochastic Processes Resource allocation Scheduling Simulation Studies Telecommunications systems User services Wireless communication systems Wireless communications Wireless networks |
| title | On Multi Agent based modeling and control in large scale wireless communication systems for improved resource allocation performance |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T08%3A21%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=On%20Multi%20Agent%20based%20modeling%20and%20control%20in%20large%20scale%20wireless%20communication%20systems%20for%20improved%20resource%20allocation%20performance&rft.jtitle=Telecommunication%20systems&rft.au=Papazoglou,%20P.%20M.&rft.date=2013-03-01&rft.volume=52&rft.issue=3&rft.spage=1657&rft.epage=1675&rft.pages=1657-1675&rft.issn=1018-4864&rft.eissn=1572-9451&rft_id=info:doi/10.1007/s11235-011-9658-2&rft_dat=%3Cproquest_cross%3E1417911846%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1371353309&rft_id=info:pmid/&rfr_iscdi=true |