Performance analysis of various hierarchical routing protocols using spatial correlation

•The performance of SCLEACH, SCPEGASIS, SCTEEN is analyzed.•Single report is enough to transfer to the sink, to avoid redundant reports.•Proposed protocols have been compared with k-d tree algorithm.•Five parameters are considered for the analysis.SCHRP model takes less time to measure the parameter...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Measurement : journal of the International Measurement Confederation 2019-10, Vol.144, p.44-51
Hauptverfasser: Kalaivaani, P.T., Krishnamoorthy, Raja
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 51
container_issue
container_start_page 44
container_title Measurement : journal of the International Measurement Confederation
container_volume 144
creator Kalaivaani, P.T.
Krishnamoorthy, Raja
description •The performance of SCLEACH, SCPEGASIS, SCTEEN is analyzed.•Single report is enough to transfer to the sink, to avoid redundant reports.•Proposed protocols have been compared with k-d tree algorithm.•Five parameters are considered for the analysis.SCHRP model takes less time to measure the parameters of the network. In Wireless Sensor Networks (WSNs), the most significant task is to gather the data from the sensor nodes available in specific region available in event sensing field. The nodes in WSNs are energy constrained. To enhance the lifetime of WSNs, energy efficient protocols are needed. Spatial Correlation based Low Energy Adaptive Clustering Hierarchy (SCLEACH), Spatial Correlation based Power-efficient Gathering in Sensor Information Systems (SCPEGASIS), Spatial Correlation based Threshold Sensitive Energy Efficient Sensor Network Protocol (SCTEEN) are well-designed solutions to rectify this problem. These protocols minimize the overall dissipation by means of individual sensor nodes located in the network. Spatial correlation based Hierarchical Routing Protocols (SCHRP) adapt clustering concept and enhance the energy efficiency and the performance of over all network. The Performance of SCHRP model is compared with existing LEACH and PEGASIS, TEEN protocols and results have been taken for various parameters such as End-to-End delay, Packet drop, Packet delivery ratio, Throughput, Energy Efficiency and Energy Consumption. The proposed SCLEACH has 6.35% higher energy efficiency than the existing LEACH protocol. The impact of the proposed protocols are evaluated using various parameters and compared with k-d tree algorithm. The importance of spatial correlation based routing concept is analyzed with respect to k-d tree algorithm and the simulation results have been taken using Network Simulator tool.
doi_str_mv 10.1016/j.measurement.2018.11.084
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2255739563</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0263224118311321</els_id><sourcerecordid>2255739563</sourcerecordid><originalsourceid>FETCH-LOGICAL-c349t-4eaa76f46a7363af3a648632679d2fd24af0e5e2e1277c3767dec949f5d117a53</originalsourceid><addsrcrecordid>eNqNkE1LAzEQhoMoWKv_YcXzrvnapHuU4hcU9KDQWxiyE5tlu6nJbqH_3pR68OhpZpj3HeZ9CLlltGKUqfuu2iKkKeIWh7HilC0qxiq6kGdkxhZalJLx9TmZUa5Eyblkl-QqpY5SqkSjZmT9jtGFuIXBYgED9IfkUxFcsYfow5SKjccI0W68hb6IYRr98FXsYhiDDX0qpnSc0w5Gn_c2xIh97sNwTS4c9AlvfuucfD49fixfytXb8-vyYVVaIZuxlAiglZMKtFACnAAlF0pwpZuWu5ZLcBRr5Mi41lZopVu0jWxc3TKmoRZzcne6m3_6njCNpgtTzEGS4byutWhqJbKqOalsDClFdGYX_RbiwTBqjiBNZ_6ANEeQhjGTQWbv8uTFHGOfcZhkPWZerY9oR9MG_48rPz2ghKM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2255739563</pqid></control><display><type>article</type><title>Performance analysis of various hierarchical routing protocols using spatial correlation</title><source>Elsevier ScienceDirect Journals Complete</source><creator>Kalaivaani, P.T. ; Krishnamoorthy, Raja</creator><creatorcontrib>Kalaivaani, P.T. ; Krishnamoorthy, Raja</creatorcontrib><description>•The performance of SCLEACH, SCPEGASIS, SCTEEN is analyzed.•Single report is enough to transfer to the sink, to avoid redundant reports.•Proposed protocols have been compared with k-d tree algorithm.•Five parameters are considered for the analysis.SCHRP model takes less time to measure the parameters of the network. In Wireless Sensor Networks (WSNs), the most significant task is to gather the data from the sensor nodes available in specific region available in event sensing field. The nodes in WSNs are energy constrained. To enhance the lifetime of WSNs, energy efficient protocols are needed. Spatial Correlation based Low Energy Adaptive Clustering Hierarchy (SCLEACH), Spatial Correlation based Power-efficient Gathering in Sensor Information Systems (SCPEGASIS), Spatial Correlation based Threshold Sensitive Energy Efficient Sensor Network Protocol (SCTEEN) are well-designed solutions to rectify this problem. These protocols minimize the overall dissipation by means of individual sensor nodes located in the network. Spatial correlation based Hierarchical Routing Protocols (SCHRP) adapt clustering concept and enhance the energy efficiency and the performance of over all network. The Performance of SCHRP model is compared with existing LEACH and PEGASIS, TEEN protocols and results have been taken for various parameters such as End-to-End delay, Packet drop, Packet delivery ratio, Throughput, Energy Efficiency and Energy Consumption. The proposed SCLEACH has 6.35% higher energy efficiency than the existing LEACH protocol. The impact of the proposed protocols are evaluated using various parameters and compared with k-d tree algorithm. The importance of spatial correlation based routing concept is analyzed with respect to k-d tree algorithm and the simulation results have been taken using Network Simulator tool.</description><identifier>ISSN: 0263-2241</identifier><identifier>EISSN: 1873-412X</identifier><identifier>DOI: 10.1016/j.measurement.2018.11.084</identifier><language>eng</language><publisher>London: Elsevier Ltd</publisher><subject>Algorithms ; Clustering ; Computer simulation ; Correlation analysis ; Energy consumption ; Energy dissipation ; Nodes ; Parameters ; Power efficiency ; Protocol ; Protocol (computers) ; Remote sensors ; Routing ; SCHRP ; SCLEACH ; SCPEGASIS ; SCTEEN ; Sensors ; Wireless networks ; Wireless sensor networks ; Wireless Sensor Networks (WSNs)</subject><ispartof>Measurement : journal of the International Measurement Confederation, 2019-10, Vol.144, p.44-51</ispartof><rights>2018 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Oct 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c349t-4eaa76f46a7363af3a648632679d2fd24af0e5e2e1277c3767dec949f5d117a53</citedby><cites>FETCH-LOGICAL-c349t-4eaa76f46a7363af3a648632679d2fd24af0e5e2e1277c3767dec949f5d117a53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.measurement.2018.11.084$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,45974</link.rule.ids></links><search><creatorcontrib>Kalaivaani, P.T.</creatorcontrib><creatorcontrib>Krishnamoorthy, Raja</creatorcontrib><title>Performance analysis of various hierarchical routing protocols using spatial correlation</title><title>Measurement : journal of the International Measurement Confederation</title><description>•The performance of SCLEACH, SCPEGASIS, SCTEEN is analyzed.•Single report is enough to transfer to the sink, to avoid redundant reports.•Proposed protocols have been compared with k-d tree algorithm.•Five parameters are considered for the analysis.SCHRP model takes less time to measure the parameters of the network. In Wireless Sensor Networks (WSNs), the most significant task is to gather the data from the sensor nodes available in specific region available in event sensing field. The nodes in WSNs are energy constrained. To enhance the lifetime of WSNs, energy efficient protocols are needed. Spatial Correlation based Low Energy Adaptive Clustering Hierarchy (SCLEACH), Spatial Correlation based Power-efficient Gathering in Sensor Information Systems (SCPEGASIS), Spatial Correlation based Threshold Sensitive Energy Efficient Sensor Network Protocol (SCTEEN) are well-designed solutions to rectify this problem. These protocols minimize the overall dissipation by means of individual sensor nodes located in the network. Spatial correlation based Hierarchical Routing Protocols (SCHRP) adapt clustering concept and enhance the energy efficiency and the performance of over all network. The Performance of SCHRP model is compared with existing LEACH and PEGASIS, TEEN protocols and results have been taken for various parameters such as End-to-End delay, Packet drop, Packet delivery ratio, Throughput, Energy Efficiency and Energy Consumption. The proposed SCLEACH has 6.35% higher energy efficiency than the existing LEACH protocol. The impact of the proposed protocols are evaluated using various parameters and compared with k-d tree algorithm. The importance of spatial correlation based routing concept is analyzed with respect to k-d tree algorithm and the simulation results have been taken using Network Simulator tool.</description><subject>Algorithms</subject><subject>Clustering</subject><subject>Computer simulation</subject><subject>Correlation analysis</subject><subject>Energy consumption</subject><subject>Energy dissipation</subject><subject>Nodes</subject><subject>Parameters</subject><subject>Power efficiency</subject><subject>Protocol</subject><subject>Protocol (computers)</subject><subject>Remote sensors</subject><subject>Routing</subject><subject>SCHRP</subject><subject>SCLEACH</subject><subject>SCPEGASIS</subject><subject>SCTEEN</subject><subject>Sensors</subject><subject>Wireless networks</subject><subject>Wireless sensor networks</subject><subject>Wireless Sensor Networks (WSNs)</subject><issn>0263-2241</issn><issn>1873-412X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNqNkE1LAzEQhoMoWKv_YcXzrvnapHuU4hcU9KDQWxiyE5tlu6nJbqH_3pR68OhpZpj3HeZ9CLlltGKUqfuu2iKkKeIWh7HilC0qxiq6kGdkxhZalJLx9TmZUa5Eyblkl-QqpY5SqkSjZmT9jtGFuIXBYgED9IfkUxFcsYfow5SKjccI0W68hb6IYRr98FXsYhiDDX0qpnSc0w5Gn_c2xIh97sNwTS4c9AlvfuucfD49fixfytXb8-vyYVVaIZuxlAiglZMKtFACnAAlF0pwpZuWu5ZLcBRr5Mi41lZopVu0jWxc3TKmoRZzcne6m3_6njCNpgtTzEGS4byutWhqJbKqOalsDClFdGYX_RbiwTBqjiBNZ_6ANEeQhjGTQWbv8uTFHGOfcZhkPWZerY9oR9MG_48rPz2ghKM</recordid><startdate>201910</startdate><enddate>201910</enddate><creator>Kalaivaani, P.T.</creator><creator>Krishnamoorthy, Raja</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>201910</creationdate><title>Performance analysis of various hierarchical routing protocols using spatial correlation</title><author>Kalaivaani, P.T. ; Krishnamoorthy, Raja</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c349t-4eaa76f46a7363af3a648632679d2fd24af0e5e2e1277c3767dec949f5d117a53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Algorithms</topic><topic>Clustering</topic><topic>Computer simulation</topic><topic>Correlation analysis</topic><topic>Energy consumption</topic><topic>Energy dissipation</topic><topic>Nodes</topic><topic>Parameters</topic><topic>Power efficiency</topic><topic>Protocol</topic><topic>Protocol (computers)</topic><topic>Remote sensors</topic><topic>Routing</topic><topic>SCHRP</topic><topic>SCLEACH</topic><topic>SCPEGASIS</topic><topic>SCTEEN</topic><topic>Sensors</topic><topic>Wireless networks</topic><topic>Wireless sensor networks</topic><topic>Wireless Sensor Networks (WSNs)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kalaivaani, P.T.</creatorcontrib><creatorcontrib>Krishnamoorthy, Raja</creatorcontrib><collection>CrossRef</collection><jtitle>Measurement : journal of the International Measurement Confederation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kalaivaani, P.T.</au><au>Krishnamoorthy, Raja</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Performance analysis of various hierarchical routing protocols using spatial correlation</atitle><jtitle>Measurement : journal of the International Measurement Confederation</jtitle><date>2019-10</date><risdate>2019</risdate><volume>144</volume><spage>44</spage><epage>51</epage><pages>44-51</pages><issn>0263-2241</issn><eissn>1873-412X</eissn><abstract>•The performance of SCLEACH, SCPEGASIS, SCTEEN is analyzed.•Single report is enough to transfer to the sink, to avoid redundant reports.•Proposed protocols have been compared with k-d tree algorithm.•Five parameters are considered for the analysis.SCHRP model takes less time to measure the parameters of the network. In Wireless Sensor Networks (WSNs), the most significant task is to gather the data from the sensor nodes available in specific region available in event sensing field. The nodes in WSNs are energy constrained. To enhance the lifetime of WSNs, energy efficient protocols are needed. Spatial Correlation based Low Energy Adaptive Clustering Hierarchy (SCLEACH), Spatial Correlation based Power-efficient Gathering in Sensor Information Systems (SCPEGASIS), Spatial Correlation based Threshold Sensitive Energy Efficient Sensor Network Protocol (SCTEEN) are well-designed solutions to rectify this problem. These protocols minimize the overall dissipation by means of individual sensor nodes located in the network. Spatial correlation based Hierarchical Routing Protocols (SCHRP) adapt clustering concept and enhance the energy efficiency and the performance of over all network. The Performance of SCHRP model is compared with existing LEACH and PEGASIS, TEEN protocols and results have been taken for various parameters such as End-to-End delay, Packet drop, Packet delivery ratio, Throughput, Energy Efficiency and Energy Consumption. The proposed SCLEACH has 6.35% higher energy efficiency than the existing LEACH protocol. The impact of the proposed protocols are evaluated using various parameters and compared with k-d tree algorithm. The importance of spatial correlation based routing concept is analyzed with respect to k-d tree algorithm and the simulation results have been taken using Network Simulator tool.</abstract><cop>London</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.measurement.2018.11.084</doi><tpages>8</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0263-2241
ispartof Measurement : journal of the International Measurement Confederation, 2019-10, Vol.144, p.44-51
issn 0263-2241
1873-412X
language eng
recordid cdi_proquest_journals_2255739563
source Elsevier ScienceDirect Journals Complete
subjects Algorithms
Clustering
Computer simulation
Correlation analysis
Energy consumption
Energy dissipation
Nodes
Parameters
Power efficiency
Protocol
Protocol (computers)
Remote sensors
Routing
SCHRP
SCLEACH
SCPEGASIS
SCTEEN
Sensors
Wireless networks
Wireless sensor networks
Wireless Sensor Networks (WSNs)
title Performance analysis of various hierarchical routing protocols using spatial correlation
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T13%3A50%3A14IST&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=Performance%20analysis%20of%20various%20hierarchical%20routing%20protocols%20using%20spatial%20correlation&rft.jtitle=Measurement%20:%20journal%20of%20the%20International%20Measurement%20Confederation&rft.au=Kalaivaani,%20P.T.&rft.date=2019-10&rft.volume=144&rft.spage=44&rft.epage=51&rft.pages=44-51&rft.issn=0263-2241&rft.eissn=1873-412X&rft_id=info:doi/10.1016/j.measurement.2018.11.084&rft_dat=%3Cproquest_cross%3E2255739563%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=2255739563&rft_id=info:pmid/&rft_els_id=S0263224118311321&rfr_iscdi=true