{"id":"https://openalex.org/W2159701074","doi":"https://doi.org/10.1109/icip.2009.5413843","title":"Optimized energy allocation in battery powered image sensor networks","display_name":"Optimized energy allocation in battery powered image sensor networks","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2159701074","doi":"https://doi.org/10.1109/icip.2009.5413843","mag":"2159701074"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2009.5413843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413843","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100582950","display_name":"Chao Yu","orcid":"https://orcid.org/0000-0002-8525-5920"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chao Yu","raw_affiliation_strings":["Electrical and Computer Engineering Department, University of Rochester, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100705959","display_name":"Gaurav Sharma","orcid":"https://orcid.org/0000-0001-9735-9519"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gaurav Sharma","raw_affiliation_strings":["Electrical and Computer Engineering Department, University of Rochester, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I5388228"],"apc_list":null,"apc_paid":null,"fwci":0.2703,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.50850012,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6077","issue":null,"first_page":"3461","last_page":"3464"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9991000294685364,"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/T13553","display_name":"Age of Information Optimization","score":0.9908000230789185,"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/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7512295842170715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6895147562026978},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.6368067264556885},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.5994670391082764},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5789768695831299},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.484982967376709},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.44690391421318054},{"id":"https://openalex.org/keywords/stochastic-geometry","display_name":"Stochastic geometry","score":0.4422725439071655},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3759436011314392},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2300930917263031},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20402729511260986},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.19782084226608276},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.12358930706977844},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10730868577957153}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7512295842170715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6895147562026978},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.6368067264556885},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.5994670391082764},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5789768695831299},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.484982967376709},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.44690391421318054},{"id":"https://openalex.org/C31243852","wikidata":"https://www.wikidata.org/wiki/Q1666739","display_name":"Stochastic geometry","level":2,"score":0.4422725439071655},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3759436011314392},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2300930917263031},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20402729511260986},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.19782084226608276},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.12358930706977844},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10730868577957153},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2009.5413843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413843","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.154.3183","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.154.3183","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ece.rochester.edu/~gsharma/papers/YuOptimPowerAllocICIP2009_0003461.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8999999761581421,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1870542990","https://openalex.org/W1976595761","https://openalex.org/W2000917592","https://openalex.org/W2033819227","https://openalex.org/W2037092248","https://openalex.org/W2095614026","https://openalex.org/W2096907427","https://openalex.org/W2099641228","https://openalex.org/W2099853900","https://openalex.org/W2103930556","https://openalex.org/W2133753977","https://openalex.org/W2154730439","https://openalex.org/W3021282624","https://openalex.org/W6650671845"],"related_works":["https://openalex.org/W2023833916","https://openalex.org/W4389820878","https://openalex.org/W3132963729","https://openalex.org/W1607049962","https://openalex.org/W1975451135","https://openalex.org/W3182131123","https://openalex.org/W1985655499","https://openalex.org/W2406192116","https://openalex.org/W2624044939","https://openalex.org/W2890570089"],"abstract_inverted_index":{"We":[0,65,143],"investigate":[1],"energy":[2,102,139,164],"allocation":[3,103,165],"strategies":[4,100],"in":[5,58],"image":[6,37],"sensor":[7,40],"networks":[8],"for":[9,81,101,130,135],"the":[10,14,19,48,56,67,78,82,85,91,105,109,126,131,137,141,162],"purpose":[11],"of":[12,47,87,128,161],"maximizing":[13],"network":[15,68,111],"operational":[16],"lifetime.":[17,112],"For":[18],"application":[20],"scenarios":[21],"that":[22,75,107,122],"we":[23,97],"consider,":[24],"visual":[25,63],"coverage":[26,43,79,129],"over":[27,44,90],"a":[28,45,52,71,118,155],"monitored":[29,49,92],"region":[30,50,134],"is":[31,140,167],"obtained":[32],"by":[33,169],"deploying":[34],"wireless,":[35],"battery-powered":[36],"sensors.":[38],"Each":[39],"camera":[41],"provides":[42],"part":[46],"and":[51,84],"central":[53],"processor":[54],"coordinates":[55],"sensors":[57,83,106],"order":[59],"to":[60,117,124,154],"gather":[61],"required":[62],"data.":[64],"characterize":[66],"lifetime":[69],"as":[70],"stochastic":[72],"random":[73],"variable":[74],"depends":[76],"upon":[77],"geometry":[80],"distribution":[86],"data":[88],"requests":[89],"region.":[93],"Using":[94],"this":[95,145],"characterization":[96],"consider":[98],"optimized":[99],"among":[104],"maximize":[108,125],"expected":[110],"The":[113,159],"formulation":[114],"naturally":[115],"leads":[116],"max-min":[119],"optimization":[120],"problem":[121,146],"aims":[123],"duration":[127],"most":[132],"critical":[133],"which":[136],"available":[138],"least.":[142],"transform":[144],"into":[147],"an":[148],"equivalent":[149],"linear":[150],"programming":[151],"problem,":[152],"leading":[153],"computationally":[156],"efficient":[157],"solution.":[158],"effectiveness":[160],"proposed":[163],"strategy":[166],"validated":[168],"simulations.":[170]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}