{"id":"https://openalex.org/W2803858411","doi":"https://doi.org/10.1109/ciss.2018.8362259","title":"An integer linear program for mixed-weight open locating-dominating sets","display_name":"An integer linear program for mixed-weight open locating-dominating sets","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2803858411","doi":"https://doi.org/10.1109/ciss.2018.8362259","mag":"2803858411"},"language":"en","primary_location":{"id":"doi:10.1109/ciss.2018.8362259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2018.8362259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 52nd Annual Conference on Information Sciences and Systems (CISS)","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/A5091727708","display_name":"Robin M. Givens","orcid":"https://orcid.org/0000-0001-6595-4399"},"institutions":[{"id":"https://openalex.org/I182555378","display_name":"Randolph\u2013Macon College","ror":"https://ror.org/03zstcc67","country_code":"US","type":"education","lineage":["https://openalex.org/I182555378"]},{"id":"https://openalex.org/I907500627","display_name":"Ashland (United States)","ror":"https://ror.org/006nxzf98","country_code":"US","type":"company","lineage":["https://openalex.org/I907500627"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robin M. Givens","raw_affiliation_strings":["Randolph Macon College, Ashland, VA, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Randolph Macon College, Ashland, VA, US","institution_ids":["https://openalex.org/I182555378","https://openalex.org/I907500627"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061827291","display_name":"Rex K. Kincaid","orcid":null},"institutions":[{"id":"https://openalex.org/I16285277","display_name":"William & Mary","ror":"https://ror.org/03hsf0573","country_code":"US","type":"education","lineage":["https://openalex.org/I16285277"]},{"id":"https://openalex.org/I267592682","display_name":"Williams (United States)","ror":"https://ror.org/007zhvp17","country_code":"US","type":"company","lineage":["https://openalex.org/I267592682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rex K. Kincaid","raw_affiliation_strings":["College of William and Mary, Williamsburg, VA, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of William and Mary, Williamsburg, VA, US","institution_ids":["https://openalex.org/I16285277","https://openalex.org/I267592682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086524085","display_name":"Weizhen Mao","orcid":"https://orcid.org/0009-0001-7038-9803"},"institutions":[{"id":"https://openalex.org/I16285277","display_name":"William & Mary","ror":"https://ror.org/03hsf0573","country_code":"US","type":"education","lineage":["https://openalex.org/I16285277"]},{"id":"https://openalex.org/I267592682","display_name":"Williams (United States)","ror":"https://ror.org/007zhvp17","country_code":"US","type":"company","lineage":["https://openalex.org/I267592682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weizhen Mao","raw_affiliation_strings":["Dept. of Computer Science, College of William & Mary, Williamsburg, Virginia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, College of William & Mary, Williamsburg, Virginia","institution_ids":["https://openalex.org/I16285277","https://openalex.org/I267592682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077977616","display_name":"Gexin Yu","orcid":"https://orcid.org/0000-0001-5898-7344"},"institutions":[{"id":"https://openalex.org/I16285277","display_name":"William & Mary","ror":"https://ror.org/03hsf0573","country_code":"US","type":"education","lineage":["https://openalex.org/I16285277"]},{"id":"https://openalex.org/I267592682","display_name":"Williams (United States)","ror":"https://ror.org/007zhvp17","country_code":"US","type":"company","lineage":["https://openalex.org/I267592682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gexin Yu","raw_affiliation_strings":["Dept. of Mathematics, College of William & Mary, Williamsburg, Virginia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Mathematics, College of William & Mary, Williamsburg, Virginia","institution_ids":["https://openalex.org/I16285277","https://openalex.org/I267592682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1976,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55662908,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"46","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":0.9977999925613403,"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":0.9977999925613403,"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/T10246","display_name":"Mobile Ad Hoc Networks","score":0.9814000129699707,"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/T11106","display_name":"Data Management and Algorithms","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6215691566467285},{"id":"https://openalex.org/keywords/minimum-weight","display_name":"Minimum weight","score":0.529848575592041},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5141463875770569},{"id":"https://openalex.org/keywords/integer","display_name":"Integer (computer science)","score":0.4714924991130829},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4527360498905182},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45054659247398376},{"id":"https://openalex.org/keywords/random-graph","display_name":"Random graph","score":0.43990641832351685},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.4293062388896942},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4285314083099365},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4279378056526184},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.42086803913116455},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.41547149419784546},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.4099424183368683},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3373836874961853},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.1492311656475067},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13418394327163696}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6215691566467285},{"id":"https://openalex.org/C2778945305","wikidata":"https://www.wikidata.org/wiki/Q6865502","display_name":"Minimum weight","level":2,"score":0.529848575592041},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5141463875770569},{"id":"https://openalex.org/C97137487","wikidata":"https://www.wikidata.org/wiki/Q729138","display_name":"Integer (computer science)","level":2,"score":0.4714924991130829},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4527360498905182},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45054659247398376},{"id":"https://openalex.org/C47458327","wikidata":"https://www.wikidata.org/wiki/Q910404","display_name":"Random graph","level":3,"score":0.43990641832351685},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.4293062388896942},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4285314083099365},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4279378056526184},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.42086803913116455},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.41547149419784546},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.4099424183368683},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3373836874961853},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.1492311656475067},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13418394327163696},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciss.2018.8362259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2018.8362259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 52nd Annual Conference on Information Sciences and Systems (CISS)","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":20,"referenced_works":["https://openalex.org/W1488160674","https://openalex.org/W1974773302","https://openalex.org/W1986332593","https://openalex.org/W1999495882","https://openalex.org/W2007572995","https://openalex.org/W2065210330","https://openalex.org/W2068262188","https://openalex.org/W2070722739","https://openalex.org/W2122528004","https://openalex.org/W2127949150","https://openalex.org/W2143225719","https://openalex.org/W2149472588","https://openalex.org/W2150495820","https://openalex.org/W2287147025","https://openalex.org/W2309179828","https://openalex.org/W2337432568","https://openalex.org/W2613009137","https://openalex.org/W2739598182","https://openalex.org/W2963139974","https://openalex.org/W6696112117"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W3123050985"],"abstract_inverted_index":{"Mixed-weight":[0],"open":[1],"locating-dominating":[2],"sets":[3],"(mixed-weight":[4],"OLD-sets)":[5],"model":[6],"systems":[7],"that":[8],"use":[9,28,54],"sensors":[10,29],"of":[11,30,92],"multiple":[12],"strengths":[13],"to":[14,48,57,79],"locate":[15],"and":[16,42,53],"detect":[17],"problems":[18],"in":[19,62,75],"a":[20],"network.":[21],"Randomly-distributed":[22],"wireless":[23],"sensor":[24],"networks,":[25],"which":[26],"often":[27],"different":[31],"strengths,":[32],"can":[33],"be":[34],"modeled":[35],"by":[36,83],"random":[37,63,76,80],"geometric":[38,64,81],"graphs.":[39,65],"We":[40,66],"build":[41],"study":[43],"an":[44],"Integer":[45],"Linear":[46],"Program":[47],"solve":[49],"for":[50,72,89],"mixed-weight":[51,59,73],"OLD-sets":[52,74],"greedy":[55],"algorithms":[56],"generate":[58],"OLD-set":[60],"estimates":[61],"also":[67],"extend":[68],"our":[69],"previous":[70],"results":[71],"graphs":[77,82],"[6]":[78],"estimating":[84],"the":[85,90,93],"probabilistic":[86],"upper":[87],"bound":[88],"size":[91],"set.":[94]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
