Wireless Sensor Networks for Energy And Distance-Based LEACH Clustering Algorithm
LEACH algorithm as a classic clustering algorithm is widely used in wireless sensor networks, but not consider the number of cluster head, monitoring areas and other factors, the network greatly consumes huge reduce the life cycle of the network. To this defects, on the basis of the optimal covering...
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Veröffentlicht in: | International journal of advancements in computing technology 2012-09, Vol.4 (16), p.279-286 |
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description | LEACH algorithm as a classic clustering algorithm is widely used in wireless sensor networks, but not consider the number of cluster head, monitoring areas and other factors, the network greatly consumes huge reduce the life cycle of the network. To this defects, on the basis of the optimal covering theorem in Wang, propose a kind of CDE-LEACH algorithm, it is in the base station to pre-built "data table" to storage optimal coverage location coordinates of the ideal cluster head, and to combine with the guarantee of minimum network energy consumption goal to select the optimal cluster head, and to improve the LEACH algorithm randomly selected the drawbacks of the cluster head. On experimental simulation platform of the Matalab7.0,the CED-of LEACH algorithm simulation, compared with LEACH algorithm results, the network energy consumption is greatly reduced, and extend the network life cycle. |
doi_str_mv | 10.4156/ijact.vol4.issue16.32 |
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To this defects, on the basis of the optimal covering theorem in Wang, propose a kind of CDE-LEACH algorithm, it is in the base station to pre-built "data table" to storage optimal coverage location coordinates of the ideal cluster head, and to combine with the guarantee of minimum network energy consumption goal to select the optimal cluster head, and to improve the LEACH algorithm randomly selected the drawbacks of the cluster head. On experimental simulation platform of the Matalab7.0,the CED-of LEACH algorithm simulation, compared with LEACH algorithm results, the network energy consumption is greatly reduced, and extend the network life cycle.</description><identifier>ISSN: 2005-8039</identifier><identifier>EISSN: 2233-9337</identifier><identifier>DOI: 10.4156/ijact.vol4.issue16.32</identifier><language>eng</language><subject>Algorithms ; Clusters ; Computer simulation ; Energy consumption ; Life cycle engineering ; Networks ; Optimization ; Remote sensors</subject><ispartof>International journal of advancements in computing technology, 2012-09, Vol.4 (16), p.279-286</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c201t-f81fa4cce518f72c89483113c4add72351d31a0146581ea7a88d3c191ae4e43</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27929,27930</link.rule.ids></links><search><creatorcontrib>Li, Zhanping</creatorcontrib><title>Wireless Sensor Networks for Energy And Distance-Based LEACH Clustering Algorithm</title><title>International journal of advancements in computing technology</title><description>LEACH algorithm as a classic clustering algorithm is widely used in wireless sensor networks, but not consider the number of cluster head, monitoring areas and other factors, the network greatly consumes huge reduce the life cycle of the network. To this defects, on the basis of the optimal covering theorem in Wang, propose a kind of CDE-LEACH algorithm, it is in the base station to pre-built "data table" to storage optimal coverage location coordinates of the ideal cluster head, and to combine with the guarantee of minimum network energy consumption goal to select the optimal cluster head, and to improve the LEACH algorithm randomly selected the drawbacks of the cluster head. On experimental simulation platform of the Matalab7.0,the CED-of LEACH algorithm simulation, compared with LEACH algorithm results, the network energy consumption is greatly reduced, and extend the network life cycle.</description><subject>Algorithms</subject><subject>Clusters</subject><subject>Computer simulation</subject><subject>Energy consumption</subject><subject>Life cycle engineering</subject><subject>Networks</subject><subject>Optimization</subject><subject>Remote sensors</subject><issn>2005-8039</issn><issn>2233-9337</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNotkEFLw0AUhBdRsGh_gpCjl9R9u5tkc4yxWqEoUsHjsmxe6tY0qfsSpf_e1HYuMwPDHD7GboDPFCTpnd9Y189-ukbNPNGAkM6kOGMTIaSMcymz8zFznsSay_ySTYk2fFSecYBkwt4-fMAGiaIVttSF6AX73y58UVSPZd5iWO-joq2iB0-9bR3G95awipbzolxEZTNQj8G366ho1l3w_ef2ml3UtiGcnvyKrR7n7-UiXr4-PZfFMnaCQx_XGmqrnMMEdJ0Jp3OlJYB0ylZVJmQClQTLQaWJBrSZ1bqSDnKwqFDJK3Z7fN2F7ntA6s3Wk8OmsS12AxlQItdpKlMxTpPj1IWOKGBtdsFvbdgb4ObA0PwzNAeG5sTQSCH_ABZzaNs</recordid><startdate>201209</startdate><enddate>201209</enddate><creator>Li, Zhanping</creator><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>201209</creationdate><title>Wireless Sensor Networks for Energy And Distance-Based LEACH Clustering Algorithm</title><author>Li, Zhanping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c201t-f81fa4cce518f72c89483113c4add72351d31a0146581ea7a88d3c191ae4e43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Algorithms</topic><topic>Clusters</topic><topic>Computer simulation</topic><topic>Energy consumption</topic><topic>Life cycle engineering</topic><topic>Networks</topic><topic>Optimization</topic><topic>Remote sensors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Zhanping</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>International journal of advancements in computing technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Zhanping</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Wireless Sensor Networks for Energy And Distance-Based LEACH Clustering Algorithm</atitle><jtitle>International journal of advancements in computing technology</jtitle><date>2012-09</date><risdate>2012</risdate><volume>4</volume><issue>16</issue><spage>279</spage><epage>286</epage><pages>279-286</pages><issn>2005-8039</issn><eissn>2233-9337</eissn><abstract>LEACH algorithm as a classic clustering algorithm is widely used in wireless sensor networks, but not consider the number of cluster head, monitoring areas and other factors, the network greatly consumes huge reduce the life cycle of the network. To this defects, on the basis of the optimal covering theorem in Wang, propose a kind of CDE-LEACH algorithm, it is in the base station to pre-built "data table" to storage optimal coverage location coordinates of the ideal cluster head, and to combine with the guarantee of minimum network energy consumption goal to select the optimal cluster head, and to improve the LEACH algorithm randomly selected the drawbacks of the cluster head. On experimental simulation platform of the Matalab7.0,the CED-of LEACH algorithm simulation, compared with LEACH algorithm results, the network energy consumption is greatly reduced, and extend the network life cycle.</abstract><doi>10.4156/ijact.vol4.issue16.32</doi><tpages>8</tpages></addata></record> |
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source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
subjects | Algorithms Clusters Computer simulation Energy consumption Life cycle engineering Networks Optimization Remote sensors |
title | Wireless Sensor Networks for Energy And Distance-Based LEACH Clustering Algorithm |
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