Loading…
Impact of network density on data aggregation in wireless sensor networks
In-network data aggregation is essential for wireless sensor networks where energy resources are limited. In a previously proposed data dissemination scheme (directed diffusion with opportunistic aggregation), data is opportunistically aggregated at intermediate nodes on a low-latency tree. In this...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Conference Proceeding |
| Language: | English |
| Subjects: | |
| Citations: | Items that cite this one |
| Online Access: | Request full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| cited_by | cdi_FETCH-LOGICAL-c184t-847acafbacf0c862506d2d57a50dc08bdb38dccb8f5af97dc579c2bbbd805aae3 |
|---|---|
| cites | |
| container_end_page | 458 |
| container_issue | |
| container_start_page | 457 |
| container_title | |
| container_volume | |
| creator | Intanagonwiwat, C. Estrin, D. Govindan, R. Heidemann, J. |
| description | In-network data aggregation is essential for wireless sensor networks where energy resources are limited. In a previously proposed data dissemination scheme (directed diffusion with opportunistic aggregation), data is opportunistically aggregated at intermediate nodes on a low-latency tree. In this paper, we explore and evaluate greedy aggregation, a novel approach that adjusts aggregation points to increase the amount of path sharing, reducing energy consumption. Our preliminary results suggest that, under investigated scenarios, greedy aggregation can achieve up to 45% energy savings over opportunistic aggregation in high-density networks without adversely impacting latency or robustness. |
| doi_str_mv | 10.1109/ICDCS.2002.1022289 |
| format | conference_proceeding |
| fullrecord | <record><control><sourceid>pascalfrancis_6IE</sourceid><recordid>TN_cdi_pascalfrancis_primary_15759560</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1022289</ieee_id><sourcerecordid>15759560</sourcerecordid><originalsourceid>FETCH-LOGICAL-c184t-847acafbacf0c862506d2d57a50dc08bdb38dccb8f5af97dc579c2bbbd805aae3</originalsourceid><addsrcrecordid>eNpFkEtrwzAQhEUf0JDmD7QXXXp0upItSzoW92UI9ND2HFYvozaxg2QI-fc1uKV7Wdj5dhiGkBsGa8ZA37fNY_O-5gB8zYBzrvQZWXAhRaEqxs7JSksFstaCCSWqC7JgUJdFrbm8Iqucv2CaSjBVsgVp2_0B7UiHQHs_Hof0TZ3vcxxPdOipwxEpdl3yHY5xOsSeHmPyO58zzRM3pL-3fE0uA-6yX_3uJfl8fvpoXovN20vbPGwKy1Q1ThElWgwGbQCrai6gdtwJiQKcBWWcKZWz1qggMGjprJDacmOMUyAQfbkkd7PvAbPFXUjY25i3hxT3mE5bNvWgRQ0Tdztz0Xv_L8-FlT-lR16L</addsrcrecordid><sourcetype>Index Database</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Impact of network density on data aggregation in wireless sensor networks</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Intanagonwiwat, C. ; Estrin, D. ; Govindan, R. ; Heidemann, J.</creator><creatorcontrib>Intanagonwiwat, C. ; Estrin, D. ; Govindan, R. ; Heidemann, J.</creatorcontrib><description>In-network data aggregation is essential for wireless sensor networks where energy resources are limited. In a previously proposed data dissemination scheme (directed diffusion with opportunistic aggregation), data is opportunistically aggregated at intermediate nodes on a low-latency tree. In this paper, we explore and evaluate greedy aggregation, a novel approach that adjusts aggregation points to increase the amount of path sharing, reducing energy consumption. Our preliminary results suggest that, under investigated scenarios, greedy aggregation can achieve up to 45% energy savings over opportunistic aggregation in high-density networks without adversely impacting latency or robustness.</description><identifier>ISSN: 1063-6927</identifier><identifier>ISBN: 9780769515854</identifier><identifier>ISBN: 0769515851</identifier><identifier>EISSN: 2575-8411</identifier><identifier>DOI: 10.1109/ICDCS.2002.1022289</identifier><language>eng</language><publisher>Los Alamitos CA: IEEE</publisher><subject>Applied sciences ; Costs ; Delay ; Energy consumption ; Energy efficiency ; Energy resources ; Exact sciences and technology ; Intelligent networks ; Intersymbol interference ; Large-scale systems ; Robustness ; Telecommunications ; Telecommunications and information theory ; Teleprocessing networks. Isdn ; Wireless sensor networks</subject><ispartof>Proceedings 22nd International Conference on Distributed Computing Systems, 2002, p.457-458</ispartof><rights>2004 INIST-CNRS</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c184t-847acafbacf0c862506d2d57a50dc08bdb38dccb8f5af97dc579c2bbbd805aae3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1022289$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,4048,4049,27924,54554,54919,54931</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1022289$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=15759560$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Intanagonwiwat, C.</creatorcontrib><creatorcontrib>Estrin, D.</creatorcontrib><creatorcontrib>Govindan, R.</creatorcontrib><creatorcontrib>Heidemann, J.</creatorcontrib><title>Impact of network density on data aggregation in wireless sensor networks</title><title>Proceedings 22nd International Conference on Distributed Computing Systems</title><addtitle>ICDCS</addtitle><description>In-network data aggregation is essential for wireless sensor networks where energy resources are limited. In a previously proposed data dissemination scheme (directed diffusion with opportunistic aggregation), data is opportunistically aggregated at intermediate nodes on a low-latency tree. In this paper, we explore and evaluate greedy aggregation, a novel approach that adjusts aggregation points to increase the amount of path sharing, reducing energy consumption. Our preliminary results suggest that, under investigated scenarios, greedy aggregation can achieve up to 45% energy savings over opportunistic aggregation in high-density networks without adversely impacting latency or robustness.</description><subject>Applied sciences</subject><subject>Costs</subject><subject>Delay</subject><subject>Energy consumption</subject><subject>Energy efficiency</subject><subject>Energy resources</subject><subject>Exact sciences and technology</subject><subject>Intelligent networks</subject><subject>Intersymbol interference</subject><subject>Large-scale systems</subject><subject>Robustness</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Teleprocessing networks. Isdn</subject><subject>Wireless sensor networks</subject><issn>1063-6927</issn><issn>2575-8411</issn><isbn>9780769515854</isbn><isbn>0769515851</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2002</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpFkEtrwzAQhEUf0JDmD7QXXXp0upItSzoW92UI9ND2HFYvozaxg2QI-fc1uKV7Wdj5dhiGkBsGa8ZA37fNY_O-5gB8zYBzrvQZWXAhRaEqxs7JSksFstaCCSWqC7JgUJdFrbm8Iqucv2CaSjBVsgVp2_0B7UiHQHs_Hof0TZ3vcxxPdOipwxEpdl3yHY5xOsSeHmPyO58zzRM3pL-3fE0uA-6yX_3uJfl8fvpoXovN20vbPGwKy1Q1ThElWgwGbQCrai6gdtwJiQKcBWWcKZWz1qggMGjprJDacmOMUyAQfbkkd7PvAbPFXUjY25i3hxT3mE5bNvWgRQ0Tdztz0Xv_L8-FlT-lR16L</recordid><startdate>2002</startdate><enddate>2002</enddate><creator>Intanagonwiwat, C.</creator><creator>Estrin, D.</creator><creator>Govindan, R.</creator><creator>Heidemann, J.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope><scope>IQODW</scope></search><sort><creationdate>2002</creationdate><title>Impact of network density on data aggregation in wireless sensor networks</title><author>Intanagonwiwat, C. ; Estrin, D. ; Govindan, R. ; Heidemann, J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c184t-847acafbacf0c862506d2d57a50dc08bdb38dccb8f5af97dc579c2bbbd805aae3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Applied sciences</topic><topic>Costs</topic><topic>Delay</topic><topic>Energy consumption</topic><topic>Energy efficiency</topic><topic>Energy resources</topic><topic>Exact sciences and technology</topic><topic>Intelligent networks</topic><topic>Intersymbol interference</topic><topic>Large-scale systems</topic><topic>Robustness</topic><topic>Telecommunications</topic><topic>Telecommunications and information theory</topic><topic>Teleprocessing networks. Isdn</topic><topic>Wireless sensor networks</topic><toplevel>online_resources</toplevel><creatorcontrib>Intanagonwiwat, C.</creatorcontrib><creatorcontrib>Estrin, D.</creatorcontrib><creatorcontrib>Govindan, R.</creatorcontrib><creatorcontrib>Heidemann, J.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Intanagonwiwat, C.</au><au>Estrin, D.</au><au>Govindan, R.</au><au>Heidemann, J.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Impact of network density on data aggregation in wireless sensor networks</atitle><btitle>Proceedings 22nd International Conference on Distributed Computing Systems</btitle><stitle>ICDCS</stitle><date>2002</date><risdate>2002</risdate><spage>457</spage><epage>458</epage><pages>457-458</pages><issn>1063-6927</issn><eissn>2575-8411</eissn><isbn>9780769515854</isbn><isbn>0769515851</isbn><abstract>In-network data aggregation is essential for wireless sensor networks where energy resources are limited. In a previously proposed data dissemination scheme (directed diffusion with opportunistic aggregation), data is opportunistically aggregated at intermediate nodes on a low-latency tree. In this paper, we explore and evaluate greedy aggregation, a novel approach that adjusts aggregation points to increase the amount of path sharing, reducing energy consumption. Our preliminary results suggest that, under investigated scenarios, greedy aggregation can achieve up to 45% energy savings over opportunistic aggregation in high-density networks without adversely impacting latency or robustness.</abstract><cop>Los Alamitos CA</cop><pub>IEEE</pub><doi>10.1109/ICDCS.2002.1022289</doi><tpages>2</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1063-6927 |
| ispartof | Proceedings 22nd International Conference on Distributed Computing Systems, 2002, p.457-458 |
| issn | 1063-6927 2575-8411 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_15759560 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Applied sciences Costs Delay Energy consumption Energy efficiency Energy resources Exact sciences and technology Intelligent networks Intersymbol interference Large-scale systems Robustness Telecommunications Telecommunications and information theory Teleprocessing networks. Isdn Wireless sensor networks |
| title | Impact of network density on data aggregation in wireless sensor networks |
| url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T09%3A19%3A09IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-pascalfrancis_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Impact%20of%20network%20density%20on%20data%20aggregation%20in%20wireless%20sensor%20networks&rft.btitle=Proceedings%2022nd%20International%20Conference%20on%20Distributed%20Computing%20Systems&rft.au=Intanagonwiwat,%20C.&rft.date=2002&rft.spage=457&rft.epage=458&rft.pages=457-458&rft.issn=1063-6927&rft.eissn=2575-8411&rft.isbn=9780769515854&rft.isbn_list=0769515851&rft_id=info:doi/10.1109/ICDCS.2002.1022289&rft_dat=%3Cpascalfrancis_6IE%3E15759560%3C/pascalfrancis_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c184t-847acafbacf0c862506d2d57a50dc08bdb38dccb8f5af97dc579c2bbbd805aae3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=1022289&rfr_iscdi=true |