A Clustering-Based Data Collection Wireless Sensor Network Using Concurrent Transmission
This paper presents a clustering-based data collection protocol for wireless sensor networks. Constructive interference-based flooding presents a novel way to achieve global synchronization, yet its communication mechanism requires that each message's transmission involves a flooding process ac...
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| Veröffentlicht in: | IEEE access 2024, Vol.12, p.135398-135410 |
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| creator | Liu, Jinzhi Liu, Yezhan Zhang, Yang |
| description | This paper presents a clustering-based data collection protocol for wireless sensor networks. Constructive interference-based flooding presents a novel way to achieve global synchronization, yet its communication mechanism requires that each message's transmission involves a flooding process across the whole network, which suffers from scalability problems, especially for a densely deployed network. Additionally, an increase in the number of transmitting nodes compromises concurrent transmission reliability. This work aims to tackle these problems from a clustering perspective. Firstly, we improved the time synchronization method proposed by constructive inference-based flooding to make it applicable to our protocol. Then, we designed a heuristic algorithm from the balance and connectivity viewpoints to carry out network clustering simultaneously during the data collection process. The prototype was implemented on Tmote Sky sensor nodes. Extensive simulations using the Contiki operating system and experiments on a deployed testbed have verified that the protocol can achieve almost 100% data collection with lower energy consumption. |
| doi_str_mv | 10.1109/ACCESS.2024.3462743 |
| format | Article |
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Constructive interference-based flooding presents a novel way to achieve global synchronization, yet its communication mechanism requires that each message's transmission involves a flooding process across the whole network, which suffers from scalability problems, especially for a densely deployed network. Additionally, an increase in the number of transmitting nodes compromises concurrent transmission reliability. This work aims to tackle these problems from a clustering perspective. Firstly, we improved the time synchronization method proposed by constructive inference-based flooding to make it applicable to our protocol. Then, we designed a heuristic algorithm from the balance and connectivity viewpoints to carry out network clustering simultaneously during the data collection process. The prototype was implemented on Tmote Sky sensor nodes. Extensive simulations using the Contiki operating system and experiments on a deployed testbed have verified that the protocol can achieve almost 100% data collection with lower energy consumption.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2024.3462743</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Algorithms ; Clustering ; Clustering methods ; Concurrent transmission ; constructive interference (CI) ; Data collection ; Energy consumption ; Heuristic methods ; Interference ; LoRa ; Network reliability ; Nodes ; Protocols ; Routing ; Sensors ; Synchronization ; Time division multiple access ; time division multiple access (TDMA) ; Time synchronization ; wireless sensor network (WSN) ; Wireless sensor networks</subject><ispartof>IEEE access, 2024, Vol.12, p.135398-135410</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c289t-c87eab046d313bc07783a41668d98f3d2618a2dc959eaa9d4e8c1b5dba7a78293</cites><orcidid>0000-0002-3979-830X ; 0009-0000-1415-9213</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10681426$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,860,2096,4010,27610,27900,27901,27902,54908</link.rule.ids></links><search><creatorcontrib>Liu, Jinzhi</creatorcontrib><creatorcontrib>Liu, Yezhan</creatorcontrib><creatorcontrib>Zhang, Yang</creatorcontrib><title>A Clustering-Based Data Collection Wireless Sensor Network Using Concurrent Transmission</title><title>IEEE access</title><addtitle>Access</addtitle><description>This paper presents a clustering-based data collection protocol for wireless sensor networks. Constructive interference-based flooding presents a novel way to achieve global synchronization, yet its communication mechanism requires that each message's transmission involves a flooding process across the whole network, which suffers from scalability problems, especially for a densely deployed network. Additionally, an increase in the number of transmitting nodes compromises concurrent transmission reliability. This work aims to tackle these problems from a clustering perspective. Firstly, we improved the time synchronization method proposed by constructive inference-based flooding to make it applicable to our protocol. Then, we designed a heuristic algorithm from the balance and connectivity viewpoints to carry out network clustering simultaneously during the data collection process. The prototype was implemented on Tmote Sky sensor nodes. Extensive simulations using the Contiki operating system and experiments on a deployed testbed have verified that the protocol can achieve almost 100% data collection with lower energy consumption.</description><subject>Algorithms</subject><subject>Clustering</subject><subject>Clustering methods</subject><subject>Concurrent transmission</subject><subject>constructive interference (CI)</subject><subject>Data collection</subject><subject>Energy consumption</subject><subject>Heuristic methods</subject><subject>Interference</subject><subject>LoRa</subject><subject>Network reliability</subject><subject>Nodes</subject><subject>Protocols</subject><subject>Routing</subject><subject>Sensors</subject><subject>Synchronization</subject><subject>Time division multiple access</subject><subject>time division multiple access (TDMA)</subject><subject>Time synchronization</subject><subject>wireless sensor network (WSN)</subject><subject>Wireless sensor networks</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNkV1LwzAUhosoOOZ-gV4UvO5sPpqPy1mnDoZebEPvQpqcjc6umUmH-O_NrMhyk3B4n-cE3iS5RvkYoVzeTcpyuliMcY7pmFCGOSVnyQAjJjNSEHZ-8r5MRiFs83hEHBV8kLxP0rI5hA583W6yex3Apg-602npmgZMV7s2fas9NBBCuoA2OJ--QPfl_Ee6CpGJwdYcvIe2S5det2FXhxCpq-RirZsAo797mKwep8vyOZu_Ps3KyTwzWMguM4KDrnLKLEGkMjnngmiKGBNWijWxmCGhsTWykKC1tBSEQVVhK801F1iSYTLrvdbprdr7eqf9t3K6Vr8D5zdK-642DShmJBhRyaOZQiGFtbySnImc4MKsIbpue9feu88DhE5t3cG38fuKIIQxpgizmCJ9yngXgof1_1aUq2Mjqm9EHRtRf41E6qanagA4IZhANEp_AEv1h7k</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Liu, Jinzhi</creator><creator>Liu, Yezhan</creator><creator>Zhang, Yang</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-3979-830X</orcidid><orcidid>https://orcid.org/0009-0000-1415-9213</orcidid></search><sort><creationdate>2024</creationdate><title>A Clustering-Based Data Collection Wireless Sensor Network Using Concurrent Transmission</title><author>Liu, Jinzhi ; Liu, Yezhan ; Zhang, Yang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c289t-c87eab046d313bc07783a41668d98f3d2618a2dc959eaa9d4e8c1b5dba7a78293</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Algorithms</topic><topic>Clustering</topic><topic>Clustering methods</topic><topic>Concurrent transmission</topic><topic>constructive interference (CI)</topic><topic>Data collection</topic><topic>Energy consumption</topic><topic>Heuristic methods</topic><topic>Interference</topic><topic>LoRa</topic><topic>Network reliability</topic><topic>Nodes</topic><topic>Protocols</topic><topic>Routing</topic><topic>Sensors</topic><topic>Synchronization</topic><topic>Time division multiple access</topic><topic>time division multiple access (TDMA)</topic><topic>Time synchronization</topic><topic>wireless sensor network (WSN)</topic><topic>Wireless sensor networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Jinzhi</creatorcontrib><creatorcontrib>Liu, Yezhan</creatorcontrib><creatorcontrib>Zhang, Yang</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials 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><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Jinzhi</au><au>Liu, Yezhan</au><au>Zhang, Yang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Clustering-Based Data Collection Wireless Sensor Network Using Concurrent Transmission</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><date>2024</date><risdate>2024</risdate><volume>12</volume><spage>135398</spage><epage>135410</epage><pages>135398-135410</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>This paper presents a clustering-based data collection protocol for wireless sensor networks. 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| subjects | Algorithms Clustering Clustering methods Concurrent transmission constructive interference (CI) Data collection Energy consumption Heuristic methods Interference LoRa Network reliability Nodes Protocols Routing Sensors Synchronization Time division multiple access time division multiple access (TDMA) Time synchronization wireless sensor network (WSN) Wireless sensor networks |
| title | A Clustering-Based Data Collection Wireless Sensor Network Using Concurrent Transmission |
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