Design and analysis of low‐power access protocols for wireless and mobile ATM networks View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2000-02

AUTHORS

Krishna M. Sivalingam, Jyh‐Cheng Chen, Prathima Agrawal, Mani B. Srivastava

ABSTRACT

This paper describes the design and analysis of a low‐power medium access control (MAC) protocol for wireless/mobile ATM networks. The protocol – denoted EC‐MAC (energy conserving medium access control) – is designed to support different traffic types with quality‐of‐service (QoS) provisions. The network is based on the infrastructure model where a base station (BS) serves all the mobiles currently in its cell. A reservation‐based approach is proposed, with appropriate scheduling of the requests from the mobiles. This strategy is utilized to accomplish the dual goals of reduced energy consumption and quality of service provision over wireless links. A priority round robin with dynamic reservation update and error compensation scheduling algorithm is used to schedule the transmission requests of the mobiles. Discrete‐event simulation has been used to study the performance of the protocol. A comparison of energy consumption of the EC‐MAC to a number of other protocols is provided. This comparison indicates the EC‐MAC has, in general, better energy consumption characteristics. Performance analysis of the proposed protocol with respect to different quality‐of‐service parameters using video, audio and data traffic models is provided. More... »

PAGES

73-87

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1023/a:1019152506607

DOI

http://dx.doi.org/10.1023/a:1019152506607

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1032951032


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": "Washington State University", 
          "id": "https://www.grid.ac/institutes/grid.30064.31", 
          "name": [
            "School of Electrical Engineering & Computer Science, Washington State University, 99164, Pullman, WA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sivalingam", 
        "givenName": "Krishna M.", 
        "id": "sg:person.015362517307.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015362517307.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ericsson (United States)", 
          "id": "https://www.grid.ac/institutes/grid.432790.b", 
          "name": [
            "Internet Architecture Research Lab, Telcordia Technologies, 07960, Morristown, NJ, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Jyh\u2010Cheng", 
        "id": "sg:person.07733655463.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07733655463.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ericsson (United States)", 
          "id": "https://www.grid.ac/institutes/grid.432790.b", 
          "name": [
            "Internet Architecture Research Lab, Telcordia Technologies, 07960, Morristown, NJ, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Agrawal", 
        "givenName": "Prathima", 
        "id": "sg:person.07445175705.93", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07445175705.93"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California Los Angeles", 
          "id": "https://www.grid.ac/institutes/grid.19006.3e", 
          "name": [
            "Department of Electrical Engineering, University of California at Los Angeles, 90095, Los Angeles, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Srivastava", 
        "givenName": "Mani B.", 
        "id": "sg:person.016640013767.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016640013767.35"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1145/103720.103721", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021122236"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01200846", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033485383", 
          "https://doi.org/10.1007/bf01200846"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01200846", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033485383", 
          "https://doi.org/10.1007/bf01200846"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0140-3664(96)01072-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048348256"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/12.580424", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061088585"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/25.580781", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061134819"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/25.69985", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061134996"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/26.31190", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061136563"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/35.556485", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061159326"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/35.642834", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061159530"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/49.329336", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061177103"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/49.553680", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061177573"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/49.553682", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061177575"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/49.553683", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061177576"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/49.611164", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061177729"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/5.317085", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061179233"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/76.538925", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061222023"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/90.282603", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061247074"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/90.554723", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061247283"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/98.382529", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061251584"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/98.490750", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061251615"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2000-02", 
    "datePublishedReg": "2000-02-01", 
    "description": "This paper describes the design and analysis of a low\u2010power medium access control (MAC) protocol for wireless/mobile ATM networks. The protocol \u2013 denoted EC\u2010MAC (energy conserving medium access control) \u2013 is designed to support different traffic types with quality\u2010of\u2010service (QoS) provisions. The network is based on the infrastructure model where a base station (BS) serves all the mobiles currently in its cell. A reservation\u2010based approach is proposed, with appropriate scheduling of the requests from the mobiles. This strategy is utilized to accomplish the dual goals of reduced energy consumption and quality of service provision over wireless links. A priority round robin with dynamic reservation update and error compensation scheduling algorithm is used to schedule the transmission requests of the mobiles. Discrete\u2010event simulation has been used to study the performance of the protocol. A comparison of energy consumption of the EC\u2010MAC to a number of other protocols is provided. This comparison indicates the EC\u2010MAC has, in general, better energy consumption characteristics. Performance analysis of the proposed protocol with respect to different quality\u2010of\u2010service parameters using video, audio and data traffic models is provided.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1023/a:1019152506607", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1327893", 
        "issn": [
          "1022-0038", 
          "1572-8196"
        ], 
        "name": "Wireless Networks", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "6"
      }
    ], 
    "name": "Design and analysis of low\u2010power access protocols for wireless and mobile ATM networks", 
    "pagination": "73-87", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "9cf9770b772a0026156584c2c51020b74f1b0ccb7106dd03af64abd6c56afc01"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1023/a:1019152506607"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1032951032"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1023/a:1019152506607", 
      "https://app.dimensions.ai/details/publication/pub.1032951032"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T16:41", 
    "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_8669_00000506.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1023%2FA%3A1019152506607"
  }
]
 

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.10.1023/a:1019152506607'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1023/a:1019152506607'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1023/a:1019152506607'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1023/a:1019152506607'


 

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

149 TRIPLES      21 PREDICATES      47 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1023/a:1019152506607 schema:about anzsrc-for:10
2 anzsrc-for:1005
3 schema:author Nac33aff88f614cddaa15c67e5b279ac5
4 schema:citation sg:pub.10.1007/bf01200846
5 https://doi.org/10.1016/0140-3664(96)01072-9
6 https://doi.org/10.1109/12.580424
7 https://doi.org/10.1109/25.580781
8 https://doi.org/10.1109/25.69985
9 https://doi.org/10.1109/26.31190
10 https://doi.org/10.1109/35.556485
11 https://doi.org/10.1109/35.642834
12 https://doi.org/10.1109/49.329336
13 https://doi.org/10.1109/49.553680
14 https://doi.org/10.1109/49.553682
15 https://doi.org/10.1109/49.553683
16 https://doi.org/10.1109/49.611164
17 https://doi.org/10.1109/5.317085
18 https://doi.org/10.1109/76.538925
19 https://doi.org/10.1109/90.282603
20 https://doi.org/10.1109/90.554723
21 https://doi.org/10.1109/98.382529
22 https://doi.org/10.1109/98.490750
23 https://doi.org/10.1145/103720.103721
24 schema:datePublished 2000-02
25 schema:datePublishedReg 2000-02-01
26 schema:description This paper describes the design and analysis of a low‐power medium access control (MAC) protocol for wireless/mobile ATM networks. The protocol – denoted EC‐MAC (energy conserving medium access control) – is designed to support different traffic types with quality‐of‐service (QoS) provisions. The network is based on the infrastructure model where a base station (BS) serves all the mobiles currently in its cell. A reservation‐based approach is proposed, with appropriate scheduling of the requests from the mobiles. This strategy is utilized to accomplish the dual goals of reduced energy consumption and quality of service provision over wireless links. A priority round robin with dynamic reservation update and error compensation scheduling algorithm is used to schedule the transmission requests of the mobiles. Discrete‐event simulation has been used to study the performance of the protocol. A comparison of energy consumption of the EC‐MAC to a number of other protocols is provided. This comparison indicates the EC‐MAC has, in general, better energy consumption characteristics. Performance analysis of the proposed protocol with respect to different quality‐of‐service parameters using video, audio and data traffic models is provided.
27 schema:genre research_article
28 schema:inLanguage en
29 schema:isAccessibleForFree false
30 schema:isPartOf Nb7eba241328d497a917a67c2b19ae0dd
31 Nc7faf71c64704a748193b75e1670f3cb
32 sg:journal.1327893
33 schema:name Design and analysis of low‐power access protocols for wireless and mobile ATM networks
34 schema:pagination 73-87
35 schema:productId N29a9237e97494df987cdd3fac0797b24
36 N8275ce97bfc043b188272fda0f47f172
37 N8f4e01d49ba24cb1b846efa4f1698b71
38 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032951032
39 https://doi.org/10.1023/a:1019152506607
40 schema:sdDatePublished 2019-04-10T16:41
41 schema:sdLicense https://scigraph.springernature.com/explorer/license/
42 schema:sdPublisher Nbe7f83f3db5b46f1845760675e1299df
43 schema:url http://link.springer.com/10.1023%2FA%3A1019152506607
44 sgo:license sg:explorer/license/
45 sgo:sdDataset articles
46 rdf:type schema:ScholarlyArticle
47 N29a9237e97494df987cdd3fac0797b24 schema:name doi
48 schema:value 10.1023/a:1019152506607
49 rdf:type schema:PropertyValue
50 N77df3641122741258b1d468408ff8bd4 rdf:first sg:person.07445175705.93
51 rdf:rest Naed87c497c4d4aa5b00b98a32db7e3f0
52 N8275ce97bfc043b188272fda0f47f172 schema:name dimensions_id
53 schema:value pub.1032951032
54 rdf:type schema:PropertyValue
55 N8f4e01d49ba24cb1b846efa4f1698b71 schema:name readcube_id
56 schema:value 9cf9770b772a0026156584c2c51020b74f1b0ccb7106dd03af64abd6c56afc01
57 rdf:type schema:PropertyValue
58 Nac33aff88f614cddaa15c67e5b279ac5 rdf:first sg:person.015362517307.38
59 rdf:rest Ne661269ad4db4becb59be6bb27028fa6
60 Naed87c497c4d4aa5b00b98a32db7e3f0 rdf:first sg:person.016640013767.35
61 rdf:rest rdf:nil
62 Nb7eba241328d497a917a67c2b19ae0dd schema:issueNumber 1
63 rdf:type schema:PublicationIssue
64 Nbe7f83f3db5b46f1845760675e1299df schema:name Springer Nature - SN SciGraph project
65 rdf:type schema:Organization
66 Nc7faf71c64704a748193b75e1670f3cb schema:volumeNumber 6
67 rdf:type schema:PublicationVolume
68 Ne661269ad4db4becb59be6bb27028fa6 rdf:first sg:person.07733655463.45
69 rdf:rest N77df3641122741258b1d468408ff8bd4
70 anzsrc-for:10 schema:inDefinedTermSet anzsrc-for:
71 schema:name Technology
72 rdf:type schema:DefinedTerm
73 anzsrc-for:1005 schema:inDefinedTermSet anzsrc-for:
74 schema:name Communications Technologies
75 rdf:type schema:DefinedTerm
76 sg:journal.1327893 schema:issn 1022-0038
77 1572-8196
78 schema:name Wireless Networks
79 rdf:type schema:Periodical
80 sg:person.015362517307.38 schema:affiliation https://www.grid.ac/institutes/grid.30064.31
81 schema:familyName Sivalingam
82 schema:givenName Krishna M.
83 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015362517307.38
84 rdf:type schema:Person
85 sg:person.016640013767.35 schema:affiliation https://www.grid.ac/institutes/grid.19006.3e
86 schema:familyName Srivastava
87 schema:givenName Mani B.
88 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016640013767.35
89 rdf:type schema:Person
90 sg:person.07445175705.93 schema:affiliation https://www.grid.ac/institutes/grid.432790.b
91 schema:familyName Agrawal
92 schema:givenName Prathima
93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07445175705.93
94 rdf:type schema:Person
95 sg:person.07733655463.45 schema:affiliation https://www.grid.ac/institutes/grid.432790.b
96 schema:familyName Chen
97 schema:givenName Jyh‐Cheng
98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07733655463.45
99 rdf:type schema:Person
100 sg:pub.10.1007/bf01200846 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033485383
101 https://doi.org/10.1007/bf01200846
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1016/0140-3664(96)01072-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048348256
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1109/12.580424 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061088585
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1109/25.580781 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061134819
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1109/25.69985 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061134996
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1109/26.31190 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061136563
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1109/35.556485 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061159326
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1109/35.642834 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061159530
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1109/49.329336 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061177103
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1109/49.553680 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061177573
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1109/49.553682 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061177575
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1109/49.553683 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061177576
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1109/49.611164 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061177729
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1109/5.317085 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061179233
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1109/76.538925 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061222023
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1109/90.282603 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061247074
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1109/90.554723 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061247283
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1109/98.382529 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061251584
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1109/98.490750 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061251615
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1145/103720.103721 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021122236
140 rdf:type schema:CreativeWork
141 https://www.grid.ac/institutes/grid.19006.3e schema:alternateName University of California Los Angeles
142 schema:name Department of Electrical Engineering, University of California at Los Angeles, 90095, Los Angeles, CA, USA
143 rdf:type schema:Organization
144 https://www.grid.ac/institutes/grid.30064.31 schema:alternateName Washington State University
145 schema:name School of Electrical Engineering & Computer Science, Washington State University, 99164, Pullman, WA, USA
146 rdf:type schema:Organization
147 https://www.grid.ac/institutes/grid.432790.b schema:alternateName Ericsson (United States)
148 schema:name Internet Architecture Research Lab, Telcordia Technologies, 07960, Morristown, NJ, USA
149 rdf:type schema:Organization
 




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


...