{"id":"https://openalex.org/W2885516346","doi":"https://doi.org/10.1145/3225058.3225079","title":"Heterogeneous Wireless Charger Placement with Obstacles","display_name":"Heterogeneous Wireless Charger Placement with Obstacles","publication_year":2018,"publication_date":"2018-08-08","ids":{"openalex":"https://openalex.org/W2885516346","doi":"https://doi.org/10.1145/3225058.3225079","mag":"2885516346"},"language":"en","primary_location":{"id":"doi:10.1145/3225058.3225079","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3225058.3225079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th International Conference on Parallel Processing","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/A5100357607","display_name":"Xiaoyu Wang","orcid":"https://orcid.org/0000-0002-5198-5108"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyu Wang","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003181030","display_name":"Haipeng Dai","orcid":"https://orcid.org/0000-0003-0545-8187"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haipeng Dai","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100415467","display_name":"Weijun Wang","orcid":"https://orcid.org/0000-0002-9545-3322"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijun Wang","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101513130","display_name":"Jiaqi Zheng","orcid":"https://orcid.org/0000-0001-8403-9655"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Zheng","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428808","display_name":"Guihai Chen","orcid":"https://orcid.org/0000-0002-6934-1685"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guihai Chen","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038791483","display_name":"Wanchun Dou","orcid":"https://orcid.org/0000-0003-4833-2023"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanchun Dou","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065158162","display_name":"Xiaobing Wu","orcid":"https://orcid.org/0000-0002-2823-2634"},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Xiaobing Wu","raw_affiliation_strings":["University of Canterbury New Zealand"],"affiliations":[{"raw_affiliation_string":"University of Canterbury New Zealand","institution_ids":["https://openalex.org/I185492890"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100357607"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":1.9313,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.86882149,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":1.0,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9972000122070312,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9884999990463257,"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/submodular-set-function","display_name":"Submodular set function","score":0.7238768935203552},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.6464364528656006},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.6091262102127075},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6072235703468323},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.5560864806175232},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5249345898628235},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5001304149627686},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.4803415536880493},{"id":"https://openalex.org/keywords/matroid","display_name":"Matroid","score":0.4523731470108032},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45023617148399353},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4418475031852722},{"id":"https://openalex.org/keywords/monotone-polygon","display_name":"Monotone polygon","score":0.41393423080444336},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28665947914123535},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.1634119153022766}],"concepts":[{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.7238768935203552},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.6464364528656006},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.6091262102127075},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6072235703468323},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.5560864806175232},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5249345898628235},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5001304149627686},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.4803415536880493},{"id":"https://openalex.org/C106286213","wikidata":"https://www.wikidata.org/wiki/Q898572","display_name":"Matroid","level":2,"score":0.4523731470108032},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45023617148399353},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4418475031852722},{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.41393423080444336},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28665947914123535},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.1634119153022766},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3225058.3225079","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3225058.3225079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th International Conference on Parallel Processing","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":22,"referenced_works":["https://openalex.org/W1519481","https://openalex.org/W1134161919","https://openalex.org/W1550139518","https://openalex.org/W1576820654","https://openalex.org/W1589208139","https://openalex.org/W1599297475","https://openalex.org/W1981310772","https://openalex.org/W1994586606","https://openalex.org/W2116385515","https://openalex.org/W2129866531","https://openalex.org/W2166165118","https://openalex.org/W2169883866","https://openalex.org/W2488111582","https://openalex.org/W2562146766","https://openalex.org/W2605933929","https://openalex.org/W2729979704","https://openalex.org/W2735279974","https://openalex.org/W2758449705","https://openalex.org/W2760845069","https://openalex.org/W2786556725","https://openalex.org/W2787460569","https://openalex.org/W6684380187"],"related_works":["https://openalex.org/W4320232260","https://openalex.org/W4252399622","https://openalex.org/W1499990180","https://openalex.org/W4241672388","https://openalex.org/W4321600307","https://openalex.org/W4251076636","https://openalex.org/W4398796424","https://openalex.org/W2352672974","https://openalex.org/W2402949237","https://openalex.org/W3204684126"],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2],"the":[3,48,57,61,86,92,114,123,147,151,188,205],"problem":[4,148],"of":[5,17,28,39,50,104,136,153,175,190],"Heterogeneous":[6],"wIreless":[7],"charger":[8],"Placement":[9],"with":[10,35,172],"Obstacles":[11],"(HIPO),":[12],"i.e.,":[13,42],"given":[14,37],"a":[15,23,36,80,101,128,133,155,161,167],"number":[16],"heterogeneous":[18,33],"rechargeable":[19,62],"devices":[20,63],"distributed":[21],"on":[22,56,212],"2D":[24],"plane":[25,58],"where":[26],"obstacles":[27],"arbitrary":[29],"shapes":[30],"exist,":[31],"deploying":[32],"chargers":[34,105],"cardinality":[38],"each":[40],"type,":[41],"determining":[43],"their":[44],"positions":[45],"and":[46,90,183,193],"orientations,":[47],"combination":[49],"which":[51,100,165],"we":[52,75,112,145],"name":[53],"as":[54],"strategies,":[55],"such":[59],"that":[60,201],"achieve":[64],"maximized":[65],"charging":[66,73,88,109],"utility.":[67],"After":[68],"presenting":[69],"our":[70,191,202],"practical":[71],"directional":[72],"model,":[74],"first":[76],"propose":[77,113],"to":[78,84,121,127,160,170,186],"use":[79],"piecewise":[81],"constant":[82,107],"function":[83,158],"approximate":[85],"nonlinear":[87],"power,":[89],"divide":[91],"whole":[93],"area":[94],"into":[95],"multi-feasible":[96,141],"geometric":[97,142],"areas":[98],"in":[99,150],"certain":[102],"type":[103],"have":[106],"approximated":[108],"power.":[110],"Next,":[111],"Practical":[115],"Dominating":[116],"Coverage":[117],"Set":[118],"extraction":[119],"algorithm":[120,169,192,203],"reduce":[122],"unlimited":[124],"solution":[125],"space":[126],"limited":[129],"one":[130],"by":[131,208],"exacting":[132],"finite":[134],"set":[135],"candidate":[137],"strategies":[138],"for":[139],"all":[140],"areas.":[143],"Finally,":[144],"prove":[146],"falls":[149],"realm":[152],"maximizing":[154],"monotone":[156],"submodular":[157],"subject":[159],"partition":[162],"matroid":[163],"constraint,":[164],"allows":[166],"greedy":[168],"solve":[171],"approximation":[173],"ratio":[174],"1/2":[176],"--":[177],"\u03f5.":[178],"We":[179],"conduct":[180],"both":[181],"simulations":[182],"field":[184],"experiments":[185],"evaluate":[187],"performance":[189],"other":[194],"five":[195],"comparison":[196,206],"algorithms.":[197],"The":[198],"results":[199],"show":[200],"outperforms":[204],"algorithms":[207],"at":[209],"least":[210],"33.49%":[211],"average.":[213]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}