{"id":"https://openalex.org/W4255700130","doi":"https://doi.org/10.1109/ipsn.2005.1440959","title":"Experiences and directions in pushpin computing","display_name":"Experiences and directions in pushpin computing","publication_year":2005,"publication_date":"2005-06-15","ids":{"openalex":"https://openalex.org/W4255700130","doi":"https://doi.org/10.1109/ipsn.2005.1440959"},"language":"en","primary_location":{"id":"doi:10.1109/ipsn.2005.1440959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipsn.2005.1440959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005.","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/A5063640275","display_name":"Joshua Lifton","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142372","display_name":"Human Media","ror":"https://ror.org/04072nk43","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142372"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"J. Lifton","raw_affiliation_strings":["Responsive Environments Group, MIT Media Laboratory, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Responsive Environments Group, MIT Media Laboratory, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210142372"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039159017","display_name":"Michael Broxton","orcid":"https://orcid.org/0009-0006-3701-2322"},"institutions":[{"id":"https://openalex.org/I4210142372","display_name":"Human Media","ror":"https://ror.org/04072nk43","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142372"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Broxton","raw_affiliation_strings":["Responsive Environments Group, MIT Media Laboratory, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Responsive Environments Group, MIT Media Laboratory, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210142372"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086159548","display_name":"Joseph A. Paradiso","orcid":"https://orcid.org/0000-0002-0719-7104"},"institutions":[{"id":"https://openalex.org/I4210142372","display_name":"Human Media","ror":"https://ror.org/04072nk43","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142372"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.A. Paradiso","raw_affiliation_strings":["Responsive Environments Group, MIT Media Laboratory, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Responsive Environments Group, MIT Media Laboratory, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210142372"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063640275"],"corresponding_institution_ids":["https://openalex.org/I4210142372"],"apc_list":null,"apc_paid":null,"fwci":0.7786,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.7955566,"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":"416","last_page":"421"},"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/T12784","display_name":"Modular Robots and Swarm Intelligence","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/testbed","display_name":"Testbed","score":0.8888481855392456},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.781291663646698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.732265293598175},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6176867485046387},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5833236575126648},{"id":"https://openalex.org/keywords/key-distribution-in-wireless-sensor-networks","display_name":"Key distribution in wireless sensor networks","score":0.5622769594192505},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.5325666069984436},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5086694359779358},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.36854952573776245},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.36611419916152954},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16299280524253845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16001424193382263},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15433120727539062}],"concepts":[{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.8888481855392456},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.781291663646698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.732265293598175},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6176867485046387},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5833236575126648},{"id":"https://openalex.org/C41971633","wikidata":"https://www.wikidata.org/wiki/Q6398155","display_name":"Key distribution in wireless sensor networks","level":4,"score":0.5622769594192505},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.5325666069984436},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5086694359779358},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.36854952573776245},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.36611419916152954},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16299280524253845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16001424193382263},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15433120727539062},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ipsn.2005.1440959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipsn.2005.1440959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.69.3978","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.69.3978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.media.mit.edu/resenv/pubs/papers/2005-04-liftonspots.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1495488645","https://openalex.org/W1502922344","https://openalex.org/W1544179036","https://openalex.org/W1572765954","https://openalex.org/W1578361968","https://openalex.org/W2078914775","https://openalex.org/W2103247260","https://openalex.org/W2116604485","https://openalex.org/W2124705135","https://openalex.org/W2148990184","https://openalex.org/W2157178484","https://openalex.org/W2278662406","https://openalex.org/W6677440068"],"related_works":["https://openalex.org/W1975451135","https://openalex.org/W917005982","https://openalex.org/W2148549110","https://openalex.org/W2295628284","https://openalex.org/W2890570089","https://openalex.org/W3095958166","https://openalex.org/W2129477171","https://openalex.org/W2593729912","https://openalex.org/W3148968234","https://openalex.org/W2012250365"],"abstract_inverted_index":{"Over":[0],"the":[1,11,81,94],"last":[2],"three":[3],"years":[4],"we":[5],"have":[6,89],"built":[7],"and":[8,45,56,66,77,100],"experimented":[9],"with":[10],"Pushpin":[12,19,40],"computing":[13],"wireless":[14,25,97],"sensor":[15,26,69,98],"network":[16,27],"platform.":[17],"The":[18,39],"platform":[20],"is":[21],"a":[22,36],"tabletop":[23],"multihop":[24],"testbed":[28],"comprised":[29],"of":[30,53,93,96],"100":[31],"nodes":[32],"arbitrarily":[33],"placed":[34],"within":[35],"one-square-meter":[37],"area.":[38],"platform's":[41],"concise":[42],"form":[43],"factor":[44],"extreme":[46],"node":[47],"density":[48],"allow":[49],"for":[50],"fine-grained":[51],"control":[52],"its":[54],"environment":[55],"immediate":[57],"user":[58],"interaction,":[59],"thereby":[60],"uniquely":[61],"situating":[62],"it":[63],"between":[64],"simulated":[65],"real":[67],"world":[68],"networks.":[70],"This":[71],"paper":[72],"details":[73],"our":[74,91],"salient":[75],"successes":[76],"lessons":[78],"learned":[79],"along":[80],"way.":[82],"We":[83],"also":[84],"discuss":[85],"how":[86],"these":[87],"experiences":[88],"shaped":[90],"vision":[92],"future":[95],"networks":[99],"some":[101],"concrete":[102],"research":[103],"directions":[104],"to":[105],"follow.":[106]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}