{"id":"https://openalex.org/W4307939250","doi":"https://doi.org/10.3390/s22218291","title":"rSEM: System-Entropy-Measure-Guided Routing Algorithm for Industrial Wireless Sensor Networks","display_name":"rSEM: System-Entropy-Measure-Guided Routing Algorithm for Industrial Wireless Sensor Networks","publication_year":2022,"publication_date":"2022-10-29","ids":{"openalex":"https://openalex.org/W4307939250","doi":"https://doi.org/10.3390/s22218291","pmid":"https://pubmed.ncbi.nlm.nih.gov/36365989"},"language":"en","primary_location":{"id":"doi:10.3390/s22218291","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22218291","pdf_url":"https://www.mdpi.com/1424-8220/22/21/8291/pdf?version=1667800208","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/21/8291/pdf?version=1667800208","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025725441","display_name":"Xiaoxiong Xiong","orcid":"https://orcid.org/0000-0002-7554-469X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxiong Xiong","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China"],"raw_orcid":"https://orcid.org/0000-0002-7554-469X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103148449","display_name":"Chao Dong","orcid":"https://orcid.org/0000-0003-3212-1045"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Dong","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China"],"raw_orcid":"https://orcid.org/0000-0003-3212-1045","affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008455605","display_name":"Kai Niu","orcid":"https://orcid.org/0000-0002-8076-1867"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Niu","raw_affiliation_strings":["Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China"],"raw_orcid":"https://orcid.org/0000-0002-8076-1867","affiliations":[{"raw_affiliation_string":"Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103148449"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.2852,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58712762,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"22","issue":"21","first_page":"8291","last_page":"8291"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10246","display_name":"Mobile Ad Hoc Networks","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6072433590888977},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6069555878639221},{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.564980685710907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5135931968688965},{"id":"https://openalex.org/keywords/routing-algorithm","display_name":"Routing algorithm","score":0.5017032623291016},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.49983859062194824},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.4644162058830261},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.4418637454509735},{"id":"https://openalex.org/keywords/dijkstras-algorithm","display_name":"Dijkstra's algorithm","score":0.4221423864364624},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3754611313343048},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.35637426376342773},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3427601456642151},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.28692904114723206},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.28113341331481934},{"id":"https://openalex.org/keywords/routing-protocol","display_name":"Routing protocol","score":0.2493215799331665},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23971417546272278},{"id":"https://openalex.org/keywords/shortest-path-problem","display_name":"Shortest path problem","score":0.1895943284034729},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.18929311633110046},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1877656877040863}],"concepts":[{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6072433590888977},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6069555878639221},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.564980685710907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5135931968688965},{"id":"https://openalex.org/C2984173633","wikidata":"https://www.wikidata.org/wiki/Q22725","display_name":"Routing algorithm","level":4,"score":0.5017032623291016},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.49983859062194824},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.4644162058830261},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.4418637454509735},{"id":"https://openalex.org/C173870130","wikidata":"https://www.wikidata.org/wiki/Q8548","display_name":"Dijkstra's algorithm","level":4,"score":0.4221423864364624},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3754611313343048},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.35637426376342773},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3427601456642151},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28692904114723206},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.28113341331481934},{"id":"https://openalex.org/C104954878","wikidata":"https://www.wikidata.org/wiki/Q1648707","display_name":"Routing protocol","level":3,"score":0.2493215799331665},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23971417546272278},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.1895943284034729},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.18929311633110046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1877656877040863},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s22218291","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22218291","pdf_url":"https://www.mdpi.com/1424-8220/22/21/8291/pdf?version=1667800208","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36365989","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36365989","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:b55135e688cc4cff9c612fb375bd6a36","is_oa":true,"landing_page_url":"https://doaj.org/article/b55135e688cc4cff9c612fb375bd6a36","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 21, p 8291 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/21/8291/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22218291","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 21; Pages: 8291","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9654926","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9654926","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22218291","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22218291","pdf_url":"https://www.mdpi.com/1424-8220/22/21/8291/pdf?version=1667800208","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8899999856948853}],"awards":[{"id":"https://openalex.org/G6780184771","display_name":null,"funder_award_id":"92067202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6819493237","display_name":"\u9762\u54116G\u7684\u6781\u5316\u7f16\u7801\u7406\u8bba\u7814\u7a76","funder_award_id":"62071058","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4307939250.pdf"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1940299996","https://openalex.org/W1967713312","https://openalex.org/W1992501341","https://openalex.org/W2167999619","https://openalex.org/W2169528473","https://openalex.org/W2605344455","https://openalex.org/W2771152181","https://openalex.org/W2906975670","https://openalex.org/W2965353777","https://openalex.org/W3006348122","https://openalex.org/W3132964697"],"related_works":["https://openalex.org/W2136735429","https://openalex.org/W170547082","https://openalex.org/W2587876411","https://openalex.org/W2358332176","https://openalex.org/W4229950834","https://openalex.org/W4301044568","https://openalex.org/W2322343330","https://openalex.org/W2615810221","https://openalex.org/W1536482519","https://openalex.org/W2349623602"],"abstract_inverted_index":{"In":[0,135],"this":[1],"paper,":[2],"a":[3,36,97,170],"new":[4,171],"system":[5,21,43,67,77],"entropy":[6,22,44,68],"measure":[7,23,45],"is":[8,86,96,118,142,152],"used":[9],"to":[10,65,100,159,189],"optimize":[11],"the":[12,20,25,42,49,53,56,66,72,75,82,89,92,102,108,112,116,120,137,140,150,161,174,179,184,190,197],"routing":[13,33,38,177],"algorithm":[14,39,99],"in":[15,119,129],"power":[16,109,164,198],"consumption.":[17,165],"We":[18],"introduce":[19],"into":[24],"problem":[26],"of":[27,81,91,111,123,127,139,147,176,194],"industrial":[28],"wireless":[29],"sensor":[30],"networks":[31,155],"(iWSNs)":[32],"and":[34,59,70,132,163],"propose":[35],"high-performance":[37],"guided":[40],"by":[41,115],"(rSEM).":[46],"Based":[47],"on":[48,196],"cluster":[50,57,60,83,93],"iWSNs":[51,73,113],"architecture,":[52],"rSEM":[54,117,141,151,167],"selects":[55],"heads":[58],"member":[61,94],"nodes":[62],"successively,":[63],"according":[64,188],"measure,":[69],"constructs":[71],"with":[74],"minimum":[76],"entropy.":[78],"The":[79,104,166],"method":[80,90],"head":[84],"selection":[85,95],"traversal,":[87],"while":[88],"greedy":[98],"reduce":[101],"complexity.":[103],"experiments":[105],"show":[106],"that":[107,126,146,156],"consumption":[110,199],"generated":[114],"same":[121],"order":[122],"magnitude":[124],"as":[125],"Dijkstra":[128],"both":[130,160],"2D":[131],"3D":[133],"scenarios.":[134],"addition,":[136],"delay":[138,162,201],"slightly":[143],"higher":[144],"than":[145],"LEACH.":[148],"Therefore,":[149],"suitable":[153],"for":[154,173,178],"are":[157],"sensitive":[158],"puts":[168],"forward":[169],"idea":[172],"design":[175],"next-generation":[180],"iWSNs,":[181],"which":[182],"improves":[183],"overall":[185],"network":[186,191],"performance":[187,202],"topology,":[192],"instead":[193],"relying":[195],"or":[200],"only.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}