{"id":"https://openalex.org/W3019840244","doi":"https://doi.org/10.1109/civemsa45640.2019.9071631","title":"Impact of Sink Node Placement on Partial Connectivity in Wireless Sensor Networks","display_name":"Impact of Sink Node Placement on Partial Connectivity in Wireless Sensor Networks","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W3019840244","doi":"https://doi.org/10.1109/civemsa45640.2019.9071631","mag":"3019840244"},"language":"en","primary_location":{"id":"doi:10.1109/civemsa45640.2019.9071631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa45640.2019.9071631","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100377647","display_name":"Yun Wang","orcid":"https://orcid.org/0000-0002-9732-9245"},"institutions":[{"id":"https://openalex.org/I24648388","display_name":"Bradley University","ror":"https://ror.org/04kmeaw70","country_code":"US","type":"education","lineage":["https://openalex.org/I24648388"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yun Wang","raw_affiliation_strings":["Department of Computer Science and Information Systems, Bradley University, Peoria, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Systems, Bradley University, Peoria, IL, USA","institution_ids":["https://openalex.org/I24648388"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100377647"],"corresponding_institution_ids":["https://openalex.org/I24648388"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.25981521,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9994999766349792,"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":0.9955999851226807,"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/computer-science","display_name":"Computer science","score":0.7784925699234009},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.742155909538269},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5992838144302368},{"id":"https://openalex.org/keywords/sink","display_name":"Sink (geography)","score":0.5360854864120483},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.43124523758888245},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4159192442893982},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.40939557552337646},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33135485649108887},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0988951325416565}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7784925699234009},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.742155909538269},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5992838144302368},{"id":"https://openalex.org/C143050476","wikidata":"https://www.wikidata.org/wiki/Q194502","display_name":"Sink (geography)","level":2,"score":0.5360854864120483},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.43124523758888245},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4159192442893982},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.40939557552337646},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33135485649108887},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0988951325416565},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/civemsa45640.2019.9071631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa45640.2019.9071631","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W621107957","https://openalex.org/W1497907522","https://openalex.org/W1840310868","https://openalex.org/W1918250237","https://openalex.org/W1987877930","https://openalex.org/W2002847913","https://openalex.org/W2018438786","https://openalex.org/W2048184324","https://openalex.org/W2052426738","https://openalex.org/W2053296532","https://openalex.org/W2062990420","https://openalex.org/W2093567314","https://openalex.org/W2101709734","https://openalex.org/W2106335692","https://openalex.org/W2116894174","https://openalex.org/W2117768029","https://openalex.org/W2132174536","https://openalex.org/W2161386350","https://openalex.org/W2168452204","https://openalex.org/W2218244416","https://openalex.org/W2391320618","https://openalex.org/W2793402334","https://openalex.org/W2801476520"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W1567818861","https://openalex.org/W2987774938","https://openalex.org/W4256492088","https://openalex.org/W2079312091","https://openalex.org/W2064117466","https://openalex.org/W2607179100"],"abstract_inverted_index":{"Network":[0],"connectivity":[1,37,57,95,105,132,150],"as":[2,137],"a":[3,31,40,60,143],"fundamental":[4],"issue":[5],"in":[6,26,59,84,101,206,212],"WSNs":[7],"has":[8],"been":[9],"attracting":[10],"researchers'":[11],"attention":[12],"for":[13,42,217],"decades,":[14],"primarily":[15],"focusing":[16],"on":[17,129],"strategies":[18],"to":[19,46,50,79,89,103,147,166,178,189],"achieve":[20],"or":[21],"maintain":[22],"full":[23,36,104,140],"connectivity.":[24],"However,":[25],"practice,":[27],"sensor":[28,160],"isolation":[29],"is":[30,38,142,172,187],"state":[32],"of":[33,70,122,151,194],"normality,":[34],"and":[35,74,81,96,114,126,133,181,211,221],"not":[39],"requirement":[41],"many":[43],"WSN":[44,219],"applications":[45],"operate":[47],"successfully.":[48],"Due":[49],"this,":[51],"this":[52],"paper":[53],"investigates":[54],"the":[55,67,71,91,97,119,123,130,149,159,169,175,179,195,199],"partial":[56,94,135],"problem":[58],"randomly":[61],"deployed":[62],"WSN,":[63],"taking":[64],"into":[65],"consideration":[66],"particular":[68],"function":[69],"sink":[72,124,170],"node":[73,125,171],"its":[75,127],"skewed":[76],"placement":[77,128],"due":[78],"environmental":[80],"terrain":[82],"factors":[83],"network":[85,99,131,176,201,215],"deployment.":[86],"We":[87],"strive":[88],"identify":[90],"tradeoffs":[92],"between":[93],"required":[98],"parameters":[100,216],"contrast":[102],"under":[106,198],"various":[107],"circumstances.":[108],"Through":[109],"mathematically":[110],"modeling,":[111],"theoretical":[112],"analysis":[113],"simulation":[115],"evaluations,":[116],"we":[117,156],"demonstrate":[118],"significant":[120],"impact":[121],"that":[134,158,182],"connectivity,":[136,141],"compared":[138],"with":[139],"more":[144,185],"appropriate":[145,208],"metric":[146],"assess":[148],"random":[152],"WSNs.":[153],"For":[154],"example,":[155],"show":[157],"connection":[161],"rate":[162],"drops":[163],"from":[164,174],"98.8%":[165],"72.5%":[167],"when":[168],"relocated":[173],"center":[177],"border":[180],"1.367":[183],"times":[184],"energy":[186],"needed":[188],"connect":[190],"less":[191],"than":[192],"4%":[193],"remote":[196],"sensors,":[197],"studied":[200],"settings.":[202],"The":[203],"results":[204],"help":[205],"defining":[207],"performance":[209],"metrics":[210],"selecting":[213],"critical":[214],"real-life":[218],"design":[220],"implementation.":[222]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
