Collision Localization for IEEE 802.11 Wireless LANs View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-03

AUTHORS

Sam M. Keene, Jeffrey B. Carruthers

ABSTRACT

In this paper, we examine an algorithm for estimating the location of packet collisions, in the presence of bandlimited multipath channels. We propose an improvement to the collision localization algorithm to further enhance its performance to compensate for the increased impairments of the multipath channel. We then examine the collision localization algorithm in conjunction with two common wireless LAN standards, 802.11b and 802.11a/g. We show that for the 802.11b standard, the collision localization algorithm performs well, even in the presence of a multi-path channel. We also show that the 802.11 a/g standards are compatible with collision localization. However, we will see that the IFFT/FFT operations required to perform OFDM transmission limit the effectiveness of collision localization. We therefore also investigate collision localization in conjunction with block-based single carrier transmission, a comparable technology to OFDM, and offers some advantages when used with collision localization. In addition, we also investigate two applications of collision localization. First, we will show that collision localization in conjunction with Viterbi decoding with erasures can, in many cases, allow for corrupted packets to be completely recovered at the receiver. Second, we will also demonstrate that collision localization can be used to combat narrow-band interference, such as Bluetooth, in 802.11 a/g networks. More... »

PAGES

45-63

References to SciGraph publications

  • 2010-11. Collision and Fade Localization within Packets for Wireless LANs in WIRELESS PERSONAL COMMUNICATIONS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11277-010-0107-4

    DOI

    http://dx.doi.org/10.1007/s11277-010-0107-4

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1001405266


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1005", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Communications Technologies", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/10", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Technology", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Cooper Union", 
              "id": "https://www.grid.ac/institutes/grid.254672.0", 
              "name": [
                "The Cooper Union, New York, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Keene", 
            "givenName": "Sam M.", 
            "id": "sg:person.013225365236.44", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013225365236.44"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Boston University", 
              "id": "https://www.grid.ac/institutes/grid.189504.1", 
              "name": [
                "Boston University, Boston, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Carruthers", 
            "givenName": "Jeffrey B.", 
            "id": "sg:person.010471744331.17", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010471744331.17"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s11277-009-9805-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006743996", 
              "https://doi.org/10.1007/s11277-009-9805-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11277-009-9805-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006743996", 
              "https://doi.org/10.1007/s11277-009-9805-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/1409944.1409984", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012013234"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/1402946.1402977", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047691912"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/26.975780", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061139065"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/35.350382", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061159023"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/78.824666", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061231103"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/mcom.2005.1561928", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061394214"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tcom.1975.1092768", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061551567"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tcomm.2003.813264", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061555321"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tcomm.2004.823586", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061555531"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tcomm.2005.863724", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061556179"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tmc.2005.66", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061689898"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tvt.2004.830951", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061818410"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/twc.2002.800539", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061824277"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/twc.2004.827731", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061824537"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/twc.2007.04822", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061825520"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/glocom.2007.846", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094020427"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/wcnc.2003.1200561", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094573446"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/icc.2003.1204552", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1095729494"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1017/cbo9780511841224", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1098732039"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2012-03", 
        "datePublishedReg": "2012-03-01", 
        "description": "In this paper, we examine an algorithm for estimating the location of packet collisions, in the presence of bandlimited multipath channels. We propose an improvement to the collision localization algorithm to further enhance its performance to compensate for the increased impairments of the multipath channel. We then examine the collision localization algorithm in conjunction with two common wireless LAN standards, 802.11b and 802.11a/g. We show that for the 802.11b standard, the collision localization algorithm performs well, even in the presence of a multi-path channel. We also show that the 802.11 a/g standards are compatible with collision localization. However, we will see that the IFFT/FFT operations required to perform OFDM transmission limit the effectiveness of collision localization. We therefore also investigate collision localization in conjunction with block-based single carrier transmission, a comparable technology to OFDM, and offers some advantages when used with collision localization. In addition, we also investigate two applications of collision localization. First, we will show that collision localization in conjunction with Viterbi decoding with erasures can, in many cases, allow for corrupted packets to be completely recovered at the receiver. Second, we will also demonstrate that collision localization can be used to combat narrow-band interference, such as Bluetooth, in 802.11 a/g networks.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s11277-010-0107-4", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1052655", 
            "issn": [
              "0929-6212", 
              "1572-834X"
            ], 
            "name": "Wireless Personal Communications", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "63"
          }
        ], 
        "name": "Collision Localization for IEEE 802.11 Wireless LANs", 
        "pagination": "45-63", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "06b1acff77037b69b97589947e52c3541de35b0a4a72a7fd6a9b02ff57bad5d7"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s11277-010-0107-4"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1001405266"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s11277-010-0107-4", 
          "https://app.dimensions.ai/details/publication/pub.1001405266"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T15:03", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8663_00000519.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007%2Fs11277-010-0107-4"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11277-010-0107-4'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11277-010-0107-4'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11277-010-0107-4'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11277-010-0107-4'


     

    This table displays all metadata directly associated to this object as RDF triples.

    132 TRIPLES      21 PREDICATES      47 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s11277-010-0107-4 schema:about anzsrc-for:10
    2 anzsrc-for:1005
    3 schema:author N36bf27f3f1c044dd986f7b8ac091561f
    4 schema:citation sg:pub.10.1007/s11277-009-9805-1
    5 https://doi.org/10.1017/cbo9780511841224
    6 https://doi.org/10.1109/26.975780
    7 https://doi.org/10.1109/35.350382
    8 https://doi.org/10.1109/78.824666
    9 https://doi.org/10.1109/glocom.2007.846
    10 https://doi.org/10.1109/icc.2003.1204552
    11 https://doi.org/10.1109/mcom.2005.1561928
    12 https://doi.org/10.1109/tcom.1975.1092768
    13 https://doi.org/10.1109/tcomm.2003.813264
    14 https://doi.org/10.1109/tcomm.2004.823586
    15 https://doi.org/10.1109/tcomm.2005.863724
    16 https://doi.org/10.1109/tmc.2005.66
    17 https://doi.org/10.1109/tvt.2004.830951
    18 https://doi.org/10.1109/twc.2002.800539
    19 https://doi.org/10.1109/twc.2004.827731
    20 https://doi.org/10.1109/twc.2007.04822
    21 https://doi.org/10.1109/wcnc.2003.1200561
    22 https://doi.org/10.1145/1402946.1402977
    23 https://doi.org/10.1145/1409944.1409984
    24 schema:datePublished 2012-03
    25 schema:datePublishedReg 2012-03-01
    26 schema:description In this paper, we examine an algorithm for estimating the location of packet collisions, in the presence of bandlimited multipath channels. We propose an improvement to the collision localization algorithm to further enhance its performance to compensate for the increased impairments of the multipath channel. We then examine the collision localization algorithm in conjunction with two common wireless LAN standards, 802.11b and 802.11a/g. We show that for the 802.11b standard, the collision localization algorithm performs well, even in the presence of a multi-path channel. We also show that the 802.11 a/g standards are compatible with collision localization. However, we will see that the IFFT/FFT operations required to perform OFDM transmission limit the effectiveness of collision localization. We therefore also investigate collision localization in conjunction with block-based single carrier transmission, a comparable technology to OFDM, and offers some advantages when used with collision localization. In addition, we also investigate two applications of collision localization. First, we will show that collision localization in conjunction with Viterbi decoding with erasures can, in many cases, allow for corrupted packets to be completely recovered at the receiver. Second, we will also demonstrate that collision localization can be used to combat narrow-band interference, such as Bluetooth, in 802.11 a/g networks.
    27 schema:genre research_article
    28 schema:inLanguage en
    29 schema:isAccessibleForFree false
    30 schema:isPartOf N79baa29377ff4e5bb7a4492e55504fed
    31 N7d4eb5b8cda246ec88b0951286cb7893
    32 sg:journal.1052655
    33 schema:name Collision Localization for IEEE 802.11 Wireless LANs
    34 schema:pagination 45-63
    35 schema:productId N0eda5a108ff54b39b1ca4f3802dbe703
    36 N35dc515ad8474c65a5e67953453ba476
    37 N5c66621d8e824caa989fba9d4e133a77
    38 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001405266
    39 https://doi.org/10.1007/s11277-010-0107-4
    40 schema:sdDatePublished 2019-04-10T15:03
    41 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    42 schema:sdPublisher N7d87c8c5132c4deeb595d69926de0889
    43 schema:url http://link.springer.com/10.1007%2Fs11277-010-0107-4
    44 sgo:license sg:explorer/license/
    45 sgo:sdDataset articles
    46 rdf:type schema:ScholarlyArticle
    47 N0eda5a108ff54b39b1ca4f3802dbe703 schema:name doi
    48 schema:value 10.1007/s11277-010-0107-4
    49 rdf:type schema:PropertyValue
    50 N35dc515ad8474c65a5e67953453ba476 schema:name dimensions_id
    51 schema:value pub.1001405266
    52 rdf:type schema:PropertyValue
    53 N36bf27f3f1c044dd986f7b8ac091561f rdf:first sg:person.013225365236.44
    54 rdf:rest Ndc43cc64802e4fb48b7a9a12f8a2ab29
    55 N5c66621d8e824caa989fba9d4e133a77 schema:name readcube_id
    56 schema:value 06b1acff77037b69b97589947e52c3541de35b0a4a72a7fd6a9b02ff57bad5d7
    57 rdf:type schema:PropertyValue
    58 N79baa29377ff4e5bb7a4492e55504fed schema:issueNumber 1
    59 rdf:type schema:PublicationIssue
    60 N7d4eb5b8cda246ec88b0951286cb7893 schema:volumeNumber 63
    61 rdf:type schema:PublicationVolume
    62 N7d87c8c5132c4deeb595d69926de0889 schema:name Springer Nature - SN SciGraph project
    63 rdf:type schema:Organization
    64 Ndc43cc64802e4fb48b7a9a12f8a2ab29 rdf:first sg:person.010471744331.17
    65 rdf:rest rdf:nil
    66 anzsrc-for:10 schema:inDefinedTermSet anzsrc-for:
    67 schema:name Technology
    68 rdf:type schema:DefinedTerm
    69 anzsrc-for:1005 schema:inDefinedTermSet anzsrc-for:
    70 schema:name Communications Technologies
    71 rdf:type schema:DefinedTerm
    72 sg:journal.1052655 schema:issn 0929-6212
    73 1572-834X
    74 schema:name Wireless Personal Communications
    75 rdf:type schema:Periodical
    76 sg:person.010471744331.17 schema:affiliation https://www.grid.ac/institutes/grid.189504.1
    77 schema:familyName Carruthers
    78 schema:givenName Jeffrey B.
    79 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010471744331.17
    80 rdf:type schema:Person
    81 sg:person.013225365236.44 schema:affiliation https://www.grid.ac/institutes/grid.254672.0
    82 schema:familyName Keene
    83 schema:givenName Sam M.
    84 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013225365236.44
    85 rdf:type schema:Person
    86 sg:pub.10.1007/s11277-009-9805-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006743996
    87 https://doi.org/10.1007/s11277-009-9805-1
    88 rdf:type schema:CreativeWork
    89 https://doi.org/10.1017/cbo9780511841224 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098732039
    90 rdf:type schema:CreativeWork
    91 https://doi.org/10.1109/26.975780 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061139065
    92 rdf:type schema:CreativeWork
    93 https://doi.org/10.1109/35.350382 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061159023
    94 rdf:type schema:CreativeWork
    95 https://doi.org/10.1109/78.824666 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061231103
    96 rdf:type schema:CreativeWork
    97 https://doi.org/10.1109/glocom.2007.846 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094020427
    98 rdf:type schema:CreativeWork
    99 https://doi.org/10.1109/icc.2003.1204552 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095729494
    100 rdf:type schema:CreativeWork
    101 https://doi.org/10.1109/mcom.2005.1561928 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061394214
    102 rdf:type schema:CreativeWork
    103 https://doi.org/10.1109/tcom.1975.1092768 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061551567
    104 rdf:type schema:CreativeWork
    105 https://doi.org/10.1109/tcomm.2003.813264 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061555321
    106 rdf:type schema:CreativeWork
    107 https://doi.org/10.1109/tcomm.2004.823586 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061555531
    108 rdf:type schema:CreativeWork
    109 https://doi.org/10.1109/tcomm.2005.863724 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061556179
    110 rdf:type schema:CreativeWork
    111 https://doi.org/10.1109/tmc.2005.66 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061689898
    112 rdf:type schema:CreativeWork
    113 https://doi.org/10.1109/tvt.2004.830951 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061818410
    114 rdf:type schema:CreativeWork
    115 https://doi.org/10.1109/twc.2002.800539 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061824277
    116 rdf:type schema:CreativeWork
    117 https://doi.org/10.1109/twc.2004.827731 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061824537
    118 rdf:type schema:CreativeWork
    119 https://doi.org/10.1109/twc.2007.04822 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061825520
    120 rdf:type schema:CreativeWork
    121 https://doi.org/10.1109/wcnc.2003.1200561 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094573446
    122 rdf:type schema:CreativeWork
    123 https://doi.org/10.1145/1402946.1402977 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047691912
    124 rdf:type schema:CreativeWork
    125 https://doi.org/10.1145/1409944.1409984 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012013234
    126 rdf:type schema:CreativeWork
    127 https://www.grid.ac/institutes/grid.189504.1 schema:alternateName Boston University
    128 schema:name Boston University, Boston, USA
    129 rdf:type schema:Organization
    130 https://www.grid.ac/institutes/grid.254672.0 schema:alternateName Cooper Union
    131 schema:name The Cooper Union, New York, USA
    132 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...