Secure and reliable routing in cognitive radio networks
Due to the mobility of node and different spectrum availability pattern, CR networks are frequently divided into unpredictable partitions. Usually, these partitions are irregularly connected; hence, secure and reliable routing becomes major issue for these types of network. In order to overcome thes...
Gespeichert in:
| Veröffentlicht in: | Wireless networks 2017-08, Vol.23 (6), p.1689-1696 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1696 |
|---|---|
| container_issue | 6 |
| container_start_page | 1689 |
| container_title | Wireless networks |
| container_volume | 23 |
| creator | Prasanna Venkatesan, K. J. Vijayarangan, V. |
| description | Due to the mobility of node and different spectrum availability pattern, CR networks are frequently divided into unpredictable partitions. Usually, these partitions are irregularly connected; hence, secure and reliable routing becomes major issue for these types of network. In order to overcome these issues, we propose a secure and reliable routing in CRN based on distributed Boltzmann–Gibbs learning algorithm. This algorithm is implemented for relay node selection phase. In addition, the authentication is done based on secure routing distributed Boltzmann–Gibbs learning algorithm. We consider the metrics such as trust value and total delay for the successful and reliable transmission of the packet. Also, in order to increase the reliability, we implement LDPC code at the time of relay node selection phase. The proposed code helps to cancel any kind of electronic interference and channel noise interference. |
| doi_str_mv | 10.1007/s11276-016-1212-4 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1916951592</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1916951592</sourcerecordid><originalsourceid>FETCH-LOGICAL-c316t-f6e13f1f53a56fef26227663cf777e5b0e690b2fab11c0246e101a71de799e7b3</originalsourceid><addsrcrecordid>eNp1kMFKAzEQhoMoWKsP4G3Bc3Qm6SbNUYpaoeBBPYfsdlJSa7Ymu4pvb8p68OJphuH7Z4aPsUuEawTQNxlRaMUBFUeBgs-O2ARrLfgcjTouPQjBAeT8lJ3lvAWAuTRmwvQztUOiysV1lWgXXLOjKnVDH-KmCrFqu00MffgsQ7cOXRWp_-rSWz5nJ97tMl381il7vb97WSz56unhcXG74q1E1XOvCKVHX0tXK09eKFHeVLL1WmuqGyBloBHeNYgtiFnBAZ3GNWljSDdyyq7GvfvUfQyUe7vthhTLSYsGlamxNqJQOFJt6nJO5O0-hXeXvi2CPfixox9b_NiDHzsrGTFmcmHjhtKfzf-GfgBUP2cU</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1916951592</pqid></control><display><type>article</type><title>Secure and reliable routing in cognitive radio networks</title><source>Springer Nature - Complete Springer Journals</source><creator>Prasanna Venkatesan, K. J. ; Vijayarangan, V.</creator><creatorcontrib>Prasanna Venkatesan, K. J. ; Vijayarangan, V.</creatorcontrib><description>Due to the mobility of node and different spectrum availability pattern, CR networks are frequently divided into unpredictable partitions. Usually, these partitions are irregularly connected; hence, secure and reliable routing becomes major issue for these types of network. In order to overcome these issues, we propose a secure and reliable routing in CRN based on distributed Boltzmann–Gibbs learning algorithm. This algorithm is implemented for relay node selection phase. In addition, the authentication is done based on secure routing distributed Boltzmann–Gibbs learning algorithm. We consider the metrics such as trust value and total delay for the successful and reliable transmission of the packet. Also, in order to increase the reliability, we implement LDPC code at the time of relay node selection phase. The proposed code helps to cancel any kind of electronic interference and channel noise interference.</description><identifier>ISSN: 1022-0038</identifier><identifier>EISSN: 1572-8196</identifier><identifier>DOI: 10.1007/s11276-016-1212-4</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Algorithms ; Channel noise ; Cognitive radio ; Communications Engineering ; Computer Communication Networks ; Computer networks ; Electrical Engineering ; Engineering ; Interference ; IT in Business ; Machine learning ; Networks ; Partitions ; Relay ; Reliability ; Routing (telecommunications) ; Wireless networks</subject><ispartof>Wireless networks, 2017-08, Vol.23 (6), p.1689-1696</ispartof><rights>Springer Science+Business Media New York 2016</rights><rights>Wireless Networks is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-f6e13f1f53a56fef26227663cf777e5b0e690b2fab11c0246e101a71de799e7b3</citedby><cites>FETCH-LOGICAL-c316t-f6e13f1f53a56fef26227663cf777e5b0e690b2fab11c0246e101a71de799e7b3</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/s11276-016-1212-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11276-016-1212-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Prasanna Venkatesan, K. J.</creatorcontrib><creatorcontrib>Vijayarangan, V.</creatorcontrib><title>Secure and reliable routing in cognitive radio networks</title><title>Wireless networks</title><addtitle>Wireless Netw</addtitle><description>Due to the mobility of node and different spectrum availability pattern, CR networks are frequently divided into unpredictable partitions. Usually, these partitions are irregularly connected; hence, secure and reliable routing becomes major issue for these types of network. In order to overcome these issues, we propose a secure and reliable routing in CRN based on distributed Boltzmann–Gibbs learning algorithm. This algorithm is implemented for relay node selection phase. In addition, the authentication is done based on secure routing distributed Boltzmann–Gibbs learning algorithm. We consider the metrics such as trust value and total delay for the successful and reliable transmission of the packet. Also, in order to increase the reliability, we implement LDPC code at the time of relay node selection phase. The proposed code helps to cancel any kind of electronic interference and channel noise interference.</description><subject>Algorithms</subject><subject>Channel noise</subject><subject>Cognitive radio</subject><subject>Communications Engineering</subject><subject>Computer Communication Networks</subject><subject>Computer networks</subject><subject>Electrical Engineering</subject><subject>Engineering</subject><subject>Interference</subject><subject>IT in Business</subject><subject>Machine learning</subject><subject>Networks</subject><subject>Partitions</subject><subject>Relay</subject><subject>Reliability</subject><subject>Routing (telecommunications)</subject><subject>Wireless networks</subject><issn>1022-0038</issn><issn>1572-8196</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kMFKAzEQhoMoWKsP4G3Bc3Qm6SbNUYpaoeBBPYfsdlJSa7Ymu4pvb8p68OJphuH7Z4aPsUuEawTQNxlRaMUBFUeBgs-O2ARrLfgcjTouPQjBAeT8lJ3lvAWAuTRmwvQztUOiysV1lWgXXLOjKnVDH-KmCrFqu00MffgsQ7cOXRWp_-rSWz5nJ97tMl381il7vb97WSz56unhcXG74q1E1XOvCKVHX0tXK09eKFHeVLL1WmuqGyBloBHeNYgtiFnBAZ3GNWljSDdyyq7GvfvUfQyUe7vthhTLSYsGlamxNqJQOFJt6nJO5O0-hXeXvi2CPfixox9b_NiDHzsrGTFmcmHjhtKfzf-GfgBUP2cU</recordid><startdate>20170801</startdate><enddate>20170801</enddate><creator>Prasanna Venkatesan, K. J.</creator><creator>Vijayarangan, V.</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>8AO</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>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>20170801</creationdate><title>Secure and reliable routing in cognitive radio networks</title><author>Prasanna Venkatesan, K. J. ; Vijayarangan, V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-f6e13f1f53a56fef26227663cf777e5b0e690b2fab11c0246e101a71de799e7b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Algorithms</topic><topic>Channel noise</topic><topic>Cognitive radio</topic><topic>Communications Engineering</topic><topic>Computer Communication Networks</topic><topic>Computer networks</topic><topic>Electrical Engineering</topic><topic>Engineering</topic><topic>Interference</topic><topic>IT in Business</topic><topic>Machine learning</topic><topic>Networks</topic><topic>Partitions</topic><topic>Relay</topic><topic>Reliability</topic><topic>Routing (telecommunications)</topic><topic>Wireless networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Prasanna Venkatesan, K. J.</creatorcontrib><creatorcontrib>Vijayarangan, V.</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>ProQuest Pharma Collection</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</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 China</collection><collection>ProQuest Central Basic</collection><jtitle>Wireless networks</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Prasanna Venkatesan, K. J.</au><au>Vijayarangan, V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Secure and reliable routing in cognitive radio networks</atitle><jtitle>Wireless networks</jtitle><stitle>Wireless Netw</stitle><date>2017-08-01</date><risdate>2017</risdate><volume>23</volume><issue>6</issue><spage>1689</spage><epage>1696</epage><pages>1689-1696</pages><issn>1022-0038</issn><eissn>1572-8196</eissn><abstract>Due to the mobility of node and different spectrum availability pattern, CR networks are frequently divided into unpredictable partitions. Usually, these partitions are irregularly connected; hence, secure and reliable routing becomes major issue for these types of network. In order to overcome these issues, we propose a secure and reliable routing in CRN based on distributed Boltzmann–Gibbs learning algorithm. This algorithm is implemented for relay node selection phase. In addition, the authentication is done based on secure routing distributed Boltzmann–Gibbs learning algorithm. We consider the metrics such as trust value and total delay for the successful and reliable transmission of the packet. Also, in order to increase the reliability, we implement LDPC code at the time of relay node selection phase. The proposed code helps to cancel any kind of electronic interference and channel noise interference.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11276-016-1212-4</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1022-0038 |
| ispartof | Wireless networks, 2017-08, Vol.23 (6), p.1689-1696 |
| issn | 1022-0038 1572-8196 |
| language | eng |
| recordid | cdi_proquest_journals_1916951592 |
| source | Springer Nature - Complete Springer Journals |
| subjects | Algorithms Channel noise Cognitive radio Communications Engineering Computer Communication Networks Computer networks Electrical Engineering Engineering Interference IT in Business Machine learning Networks Partitions Relay Reliability Routing (telecommunications) Wireless networks |
| title | Secure and reliable routing in cognitive radio networks |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-12T22%3A46%3A27IST&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=Secure%20and%20reliable%20routing%20in%20cognitive%20radio%20networks&rft.jtitle=Wireless%20networks&rft.au=Prasanna%20Venkatesan,%20K.%20J.&rft.date=2017-08-01&rft.volume=23&rft.issue=6&rft.spage=1689&rft.epage=1696&rft.pages=1689-1696&rft.issn=1022-0038&rft.eissn=1572-8196&rft_id=info:doi/10.1007/s11276-016-1212-4&rft_dat=%3Cproquest_cross%3E1916951592%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=1916951592&rft_id=info:pmid/&rfr_iscdi=true |