Comparison of ETX and HOP count metrics using Glomosim simulator
Routing protocols for wireless mesh networks (WMN) are traditionally focused on finding paths with the minimum hop count. In WMN the main goal is to achieve as the best possible quality and efficiency of data transmission between source and destination nodes as possible. To achieve such transmission...
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| creator | Malnar, M.Z. Neskovic, N.J. |
| description | Routing protocols for wireless mesh networks (WMN) are traditionally focused on finding paths with the minimum hop count. In WMN the main goal is to achieve as the best possible quality and efficiency of data transmission between source and destination nodes as possible. To achieve such transmission, different parameters (power consumption, packet loss, delay, etc.) influencing data transmission need to be optimized. A routing algorithm should select better paths by taking the quality of wireless links into account. In this paper performances of two routing algorithms ETX (expected transmission count) and HOP count metric are analized and compared. Simulation results are obtained from practical implementation of ETX metric in Glomosim simulator. |
| doi_str_mv | 10.1109/TELSKS.2009.5339402 |
| format | Conference Proceeding |
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Simulation results are obtained from practical implementation of ETX metric in Glomosim simulator.</description><subject>Data communication</subject><subject>Delay</subject><subject>Energy consumption</subject><subject>Expected transmission count</subject><subject>HOP count</subject><subject>Mesh networks</subject><subject>Network topology</subject><subject>Propagation losses</subject><subject>Routing protocol</subject><subject>Routing protocols</subject><subject>Throughput</subject><subject>Wireless application protocol</subject><subject>Wireless mesh networks</subject><isbn>9781424443826</isbn><isbn>1424443822</isbn><isbn>9781424443833</isbn><isbn>1424443830</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVUM1Kw0AYXJGCWvMEvewLJH77m92bEmIrBio0B29lN93ISpIt2eTg2xtpLw4MwzDDHAahDYGMENBPdVkd3g8ZBdCZYExzoDco0bkinHLOmWLs9p-ncoUe_uoaqKTsDiUxfsOCJZQ0v0fPRejPZvQxDDi0uKw_sRlOeLf_wE2Yhwn3bhp9E_Ec_fCFt13oQ_Q9Xjh3ZgrjI1q1posuueoa1a9lXezSar99K16q1GuYUqKNM_ykpDBUUO6AEGVza01LhRXCSmkUVYpBK60WzsnGKicaB5q2AnLD1mhzmfXOueN59L0Zf47XD9gv2tJNKg</recordid><startdate>200910</startdate><enddate>200910</enddate><creator>Malnar, M.Z.</creator><creator>Neskovic, N.J.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200910</creationdate><title>Comparison of ETX and HOP count metrics using Glomosim simulator</title><author>Malnar, M.Z. ; Neskovic, N.J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-19aea4d865a2524e0118b7bbaf25b55b66a828830f6b95ee6cb8e5ce092f507a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Data communication</topic><topic>Delay</topic><topic>Energy consumption</topic><topic>Expected transmission count</topic><topic>HOP count</topic><topic>Mesh networks</topic><topic>Network topology</topic><topic>Propagation losses</topic><topic>Routing protocol</topic><topic>Routing protocols</topic><topic>Throughput</topic><topic>Wireless application protocol</topic><topic>Wireless mesh networks</topic><toplevel>online_resources</toplevel><creatorcontrib>Malnar, M.Z.</creatorcontrib><creatorcontrib>Neskovic, N.J.</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>Malnar, M.Z.</au><au>Neskovic, N.J.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Comparison of ETX and HOP count metrics using Glomosim simulator</atitle><btitle>2009 9th International Conference on Telecommunication in Modern Satellite, Cable, and Broadcasting Services</btitle><stitle>TELSKS</stitle><date>2009-10</date><risdate>2009</risdate><spage>85</spage><epage>88</epage><pages>85-88</pages><isbn>9781424443826</isbn><isbn>1424443822</isbn><eisbn>9781424443833</eisbn><eisbn>1424443830</eisbn><abstract>Routing protocols for wireless mesh networks (WMN) are traditionally focused on finding paths with the minimum hop count. In WMN the main goal is to achieve as the best possible quality and efficiency of data transmission between source and destination nodes as possible. To achieve such transmission, different parameters (power consumption, packet loss, delay, etc.) influencing data transmission need to be optimized. A routing algorithm should select better paths by taking the quality of wireless links into account. In this paper performances of two routing algorithms ETX (expected transmission count) and HOP count metric are analized and compared. Simulation results are obtained from practical implementation of ETX metric in Glomosim simulator.</abstract><pub>IEEE</pub><doi>10.1109/TELSKS.2009.5339402</doi><tpages>4</tpages></addata></record> |
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| ispartof | 2009 9th International Conference on Telecommunication in Modern Satellite, Cable, and Broadcasting Services, 2009, p.85-88 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Data communication Delay Energy consumption Expected transmission count HOP count Mesh networks Network topology Propagation losses Routing protocol Routing protocols Throughput Wireless application protocol Wireless mesh networks |
| title | Comparison of ETX and HOP count metrics using Glomosim simulator |
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