{"id":"https://openalex.org/W2526583782","doi":"https://doi.org/10.1109/iwcmc.2016.7577151","title":"Efficient connectivity preserving clustering protocol for mobile sensor network","display_name":"Efficient connectivity preserving clustering protocol for mobile sensor network","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2526583782","doi":"https://doi.org/10.1109/iwcmc.2016.7577151","mag":"2526583782"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc.2016.7577151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2016.7577151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Wireless Communications and Mobile Computing Conference (IWCMC)","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/A5003891724","display_name":"Jihed Eddine Said","orcid":null},"institutions":[{"id":"https://openalex.org/I154799132","display_name":"Universit\u00e9 de Moncton","ror":"https://ror.org/029tnqt29","country_code":"CA","type":"education","lineage":["https://openalex.org/I154799132"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Jihed Eddine Said","raw_affiliation_strings":["Dept. of Computer Science, University of Moncton, Canada"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Moncton, Canada","institution_ids":["https://openalex.org/I154799132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111912045","display_name":"Jalal Almhana","orcid":null},"institutions":[{"id":"https://openalex.org/I154799132","display_name":"Universit\u00e9 de Moncton","ror":"https://ror.org/029tnqt29","country_code":"CA","type":"education","lineage":["https://openalex.org/I154799132"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jalal Almhana","raw_affiliation_strings":["Dept. of Computer Science, University of Moncton, Canada"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Moncton, Canada","institution_ids":["https://openalex.org/I154799132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033924647","display_name":"Lutful Karim","orcid":"https://orcid.org/0000-0001-6800-4313"},"institutions":[{"id":"https://openalex.org/I61412661","display_name":"Seneca Polytechnic","ror":"https://ror.org/04qgh9k98","country_code":"CA","type":"education","lineage":["https://openalex.org/I61412661"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Lutful Karim","raw_affiliation_strings":["Seneca College Applied Arts and Technology, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"Seneca College Applied Arts and Technology, Toronto, Canada","institution_ids":["https://openalex.org/I61412661"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003891724"],"corresponding_institution_ids":["https://openalex.org/I154799132"],"apc_list":null,"apc_paid":null,"fwci":0.5791,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72380017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"752","last_page":"756"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9998000264167786,"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":0.9998000264167786,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9995999932289124,"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":0.9988999962806702,"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":0.7980204820632935},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7725369930267334},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.7557702660560608},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.6923741102218628},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5497121214866638},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.47562268376350403},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4160054326057434},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4085385203361511},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34446263313293457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19781982898712158},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.17539596557617188},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.15875491499900818}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7980204820632935},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7725369930267334},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.7557702660560608},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6923741102218628},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5497121214866638},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.47562268376350403},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4160054326057434},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4085385203361511},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34446263313293457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19781982898712158},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.17539596557617188},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.15875491499900818}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc.2016.7577151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2016.7577151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Wireless Communications and Mobile Computing Conference (IWCMC)","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":19,"referenced_works":["https://openalex.org/W170020907","https://openalex.org/W1507420146","https://openalex.org/W1673310716","https://openalex.org/W1982071711","https://openalex.org/W2020196185","https://openalex.org/W2032526999","https://openalex.org/W2044321764","https://openalex.org/W2059015379","https://openalex.org/W2074472645","https://openalex.org/W2105710533","https://openalex.org/W2119432433","https://openalex.org/W2126379392","https://openalex.org/W2130403046","https://openalex.org/W2140701037","https://openalex.org/W2544269775","https://openalex.org/W3143233598","https://openalex.org/W6630306969","https://openalex.org/W6678584415","https://openalex.org/W6729284184"],"related_works":["https://openalex.org/W3163639875","https://openalex.org/W2364999035","https://openalex.org/W4226497289","https://openalex.org/W2966681114","https://openalex.org/W3176449234","https://openalex.org/W2353158678","https://openalex.org/W2767235736","https://openalex.org/W2045002201","https://openalex.org/W4225278791","https://openalex.org/W4322502698"],"abstract_inverted_index":{"Ensuring":[0],"connectivity":[1,21,110,149],"among":[2,111],"mobile":[3],"nodes":[4,40,105],"is":[5,100],"significantly":[6],"important":[7],"to":[8,24,33,108],"the":[9,18,25,28,90,116,120,134],"success":[10],"of":[11,20,27,93,97,119,148],"many":[12],"critical":[13],"applications,":[14],"like":[15],"military,":[16],"where":[17],"loss":[19,160],"can":[22],"lead":[23],"failure":[26],"mission":[29],"and":[30,71,144,157],"also":[31],"proved":[32],"be":[34],"challenging":[35],"in":[36,49,68,88,146],"particular":[37],"when":[38],"mobiles":[39],"have":[41],"heterogeneous":[42],"mobility":[43,128],"pattern":[44],"i.e.,":[45],"they":[46],"are":[47,74,106],"moving":[48],"several":[50],"directions":[51],"at":[52],"different":[53,127],"speeds.":[54],"In":[55,76],"this":[56],"paper,":[57],"we":[58,79],"propose":[59],"a":[60,94],"new":[61],"Heterogonous":[62],"Mobility":[63],"Pattern":[64],"Clustering":[65,84],"(HMPC)":[66],"algorithm":[67],"which":[69,89],"spatial":[70],"temporal":[72,91],"densities":[73],"used.":[75],"our":[77],"approach,":[78],"implement":[80],"Density":[81],"Based":[82],"Spatial":[83],"Application":[85],"Noise":[86],"(DBSCAN)":[87],"aspect":[92],"Minimum":[95],"Period":[96],"Connectivity":[98],"(MPC)":[99],"taken":[101],"into":[102],"consideration.":[103],"Border":[104],"used":[107],"reestablish":[109],"disconnected":[112],"sub-clusters":[113],"by":[114],"increasing":[115],"communication":[117],"range":[118],"best":[121],"suitable":[122],"border":[123],"nodes.":[124],"Using":[125],"three":[126],"scenarios,":[129],"simulation":[130],"results":[131],"show":[132],"that":[133],"proposed":[135],"HMPC":[136],"outperforms":[137],"two":[138],"other":[139],"typical":[140],"clustering":[141],"algorithms":[142],"LEACH":[143],"HEED":[145],"term":[147],"as":[150],"it":[151],"provides":[152],"better":[153],"packets":[154,159],"delivery":[155],"ratio":[156],"smaller":[158],"ratio.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"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"}
