Loading…

A Comparative Analysis of Buffer Management Algorithms for Delay Tolerant Wireless Sensor Networks

One of the challenges in Delay Tolerant Wireless Sensor Networks (DT-WSN), is to handle situations where the available buffer space is insufficient- the buffer management problem. Although several buffer management algorithms have been proposed for DT-WSNs, to the best of our knowledge, there is no...

Full description

Saved in:
Bibliographic Details
Published in:IEEE sensors journal 2021-04, Vol.21 (7), p.9612-9619
Main Authors: Soderman, Pehr, Grinnemo, Karl-Johan, Hidell, Markus, Sjodin, Peter
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c434t-e2d2f4cdc5456f7fd19b50f6f2335b1da621047e0a77247087bdcfb8dd5f61a93
cites cdi_FETCH-LOGICAL-c434t-e2d2f4cdc5456f7fd19b50f6f2335b1da621047e0a77247087bdcfb8dd5f61a93
container_end_page 9619
container_issue 7
container_start_page 9612
container_title IEEE sensors journal
container_volume 21
creator Soderman, Pehr
Grinnemo, Karl-Johan
Hidell, Markus
Sjodin, Peter
description One of the challenges in Delay Tolerant Wireless Sensor Networks (DT-WSN), is to handle situations where the available buffer space is insufficient- the buffer management problem. Although several buffer management algorithms have been proposed for DT-WSNs, to the best of our knowledge, there is no comprehensive study on the effects different factors have on their performance, and which evaluates the relative performance of these algorithms in different contexts. This paper evaluates in a fixed-factor factorial experiment the performance in terms of latency and Quality of Information (QoI) of four representative buffer management algorithms for DT-WSNs; two traditional, FiFO and Random, and two QoI-based algorithms- one proposed by Humber and Ngai and the SmartGap algorithm. The evaluation suggests that the buffer management algorithm in combination with employed routing protocol and the sensor node buffer sizes have a significant impact on latency, while the obtained QoI rather depends on the characteristics of the transported data and the routing protocol, provided a single-copy routing protocol is used. Moreover, the evaluation suggests that QoI-based buffer management algorithms do offer improved QoI, with an 31% improvement in MAE for SmartGap compared to FIFO. However, they do so at the expense of higher latency, with SmartGap giving a 60% higher latency than FIFO on average.
doi_str_mv 10.1109/JSEN.2021.3054513
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1109_JSEN_2021_3054513</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9335637</ieee_id><sourcerecordid>2498877241</sourcerecordid><originalsourceid>FETCH-LOGICAL-c434t-e2d2f4cdc5456f7fd19b50f6f2335b1da621047e0a77247087bdcfb8dd5f61a93</originalsourceid><addsrcrecordid>eNqNkUlPwzAQhSMEEmX5AYiLJa6keI2TYyi7oBxYb5aTjEtoWhc7oeq_x1GrnjnNSO-b0Zt5UXRC8JAQnF08vFyPhxRTMmRYcEHYTjQgQqQxkTzd7XuGY87k53504P03xiSTQg6iIkcjO1top9v6F1A-183K1x5Zgy47Y8ChJz3XE5jBvEV5M7Gubr9mHhnr0BU0eoVebQNOB_WjdtCA9-gF5j7IY2iX1k39UbRndOPheFMPo7eb69fRXfz4fHs_yh_jkjPexkAranhZlcF-YqSpSFYIbBJDGRMFqXRCCeYSsJaScolTWVSlKdKqEiYhOmOHUbze65ew6Aq1cPVMu5WyulZX9XuurJuoafulaMY4wYE__wevO5VSwdOAn63xhbM_HfhWfdvOhX95RXmWpr0rEiiypkpnvXdgtmsJVn1Sqk9K9UmpTVJh5nQ9UwPAls_C2QmT7A_qY5CJ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2498877241</pqid></control><display><type>article</type><title>A Comparative Analysis of Buffer Management Algorithms for Delay Tolerant Wireless Sensor Networks</title><source>IEEE Electronic Library (IEL) Journals</source><creator>Soderman, Pehr ; Grinnemo, Karl-Johan ; Hidell, Markus ; Sjodin, Peter</creator><creatorcontrib>Soderman, Pehr ; Grinnemo, Karl-Johan ; Hidell, Markus ; Sjodin, Peter</creatorcontrib><description>One of the challenges in Delay Tolerant Wireless Sensor Networks (DT-WSN), is to handle situations where the available buffer space is insufficient- the buffer management problem. Although several buffer management algorithms have been proposed for DT-WSNs, to the best of our knowledge, there is no comprehensive study on the effects different factors have on their performance, and which evaluates the relative performance of these algorithms in different contexts. This paper evaluates in a fixed-factor factorial experiment the performance in terms of latency and Quality of Information (QoI) of four representative buffer management algorithms for DT-WSNs; two traditional, FiFO and Random, and two QoI-based algorithms- one proposed by Humber and Ngai and the SmartGap algorithm. The evaluation suggests that the buffer management algorithm in combination with employed routing protocol and the sensor node buffer sizes have a significant impact on latency, while the obtained QoI rather depends on the characteristics of the transported data and the routing protocol, provided a single-copy routing protocol is used. Moreover, the evaluation suggests that QoI-based buffer management algorithms do offer improved QoI, with an 31% improvement in MAE for SmartGap compared to FIFO. However, they do so at the expense of higher latency, with SmartGap giving a 60% higher latency than FIFO on average.</description><identifier>ISSN: 1530-437X</identifier><identifier>ISSN: 1558-1748</identifier><identifier>EISSN: 1558-1748</identifier><identifier>DOI: 10.1109/JSEN.2021.3054513</identifier><identifier>CODEN: ISJEAZ</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Algorithms ; buffer ; Buffers ; Computer Science ; Datavetenskap ; delay tolerant ; Delays ; disruption tolerant networking ; dt-wsn ; Factorial experiments ; Multicast algorithms ; Network latency ; Performance evaluation ; quality of service ; Routing ; Routing (telecommunications) ; Routing protocols ; Sensors ; Wireless networks ; Wireless sensor networks ; wsn</subject><ispartof>IEEE sensors journal, 2021-04, Vol.21 (7), p.9612-9619</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c434t-e2d2f4cdc5456f7fd19b50f6f2335b1da621047e0a77247087bdcfb8dd5f61a93</citedby><cites>FETCH-LOGICAL-c434t-e2d2f4cdc5456f7fd19b50f6f2335b1da621047e0a77247087bdcfb8dd5f61a93</cites><orcidid>0000-0002-6427-4612 ; 0000-0002-1737-133X ; 0000-0003-4147-9487</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9335637$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,54796</link.rule.ids><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-82548$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-293410$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Soderman, Pehr</creatorcontrib><creatorcontrib>Grinnemo, Karl-Johan</creatorcontrib><creatorcontrib>Hidell, Markus</creatorcontrib><creatorcontrib>Sjodin, Peter</creatorcontrib><title>A Comparative Analysis of Buffer Management Algorithms for Delay Tolerant Wireless Sensor Networks</title><title>IEEE sensors journal</title><addtitle>JSEN</addtitle><description>One of the challenges in Delay Tolerant Wireless Sensor Networks (DT-WSN), is to handle situations where the available buffer space is insufficient- the buffer management problem. Although several buffer management algorithms have been proposed for DT-WSNs, to the best of our knowledge, there is no comprehensive study on the effects different factors have on their performance, and which evaluates the relative performance of these algorithms in different contexts. This paper evaluates in a fixed-factor factorial experiment the performance in terms of latency and Quality of Information (QoI) of four representative buffer management algorithms for DT-WSNs; two traditional, FiFO and Random, and two QoI-based algorithms- one proposed by Humber and Ngai and the SmartGap algorithm. The evaluation suggests that the buffer management algorithm in combination with employed routing protocol and the sensor node buffer sizes have a significant impact on latency, while the obtained QoI rather depends on the characteristics of the transported data and the routing protocol, provided a single-copy routing protocol is used. Moreover, the evaluation suggests that QoI-based buffer management algorithms do offer improved QoI, with an 31% improvement in MAE for SmartGap compared to FIFO. However, they do so at the expense of higher latency, with SmartGap giving a 60% higher latency than FIFO on average.</description><subject>Algorithms</subject><subject>buffer</subject><subject>Buffers</subject><subject>Computer Science</subject><subject>Datavetenskap</subject><subject>delay tolerant</subject><subject>Delays</subject><subject>disruption tolerant networking</subject><subject>dt-wsn</subject><subject>Factorial experiments</subject><subject>Multicast algorithms</subject><subject>Network latency</subject><subject>Performance evaluation</subject><subject>quality of service</subject><subject>Routing</subject><subject>Routing (telecommunications)</subject><subject>Routing protocols</subject><subject>Sensors</subject><subject>Wireless networks</subject><subject>Wireless sensor networks</subject><subject>wsn</subject><issn>1530-437X</issn><issn>1558-1748</issn><issn>1558-1748</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqNkUlPwzAQhSMEEmX5AYiLJa6keI2TYyi7oBxYb5aTjEtoWhc7oeq_x1GrnjnNSO-b0Zt5UXRC8JAQnF08vFyPhxRTMmRYcEHYTjQgQqQxkTzd7XuGY87k53504P03xiSTQg6iIkcjO1top9v6F1A-183K1x5Zgy47Y8ChJz3XE5jBvEV5M7Gubr9mHhnr0BU0eoVebQNOB_WjdtCA9-gF5j7IY2iX1k39UbRndOPheFMPo7eb69fRXfz4fHs_yh_jkjPexkAranhZlcF-YqSpSFYIbBJDGRMFqXRCCeYSsJaScolTWVSlKdKqEiYhOmOHUbze65ew6Aq1cPVMu5WyulZX9XuurJuoafulaMY4wYE__wevO5VSwdOAn63xhbM_HfhWfdvOhX95RXmWpr0rEiiypkpnvXdgtmsJVn1Sqk9K9UmpTVJh5nQ9UwPAls_C2QmT7A_qY5CJ</recordid><startdate>20210401</startdate><enddate>20210401</enddate><creator>Soderman, Pehr</creator><creator>Grinnemo, Karl-Johan</creator><creator>Hidell, Markus</creator><creator>Sjodin, Peter</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>DG3</scope><scope>D8V</scope><orcidid>https://orcid.org/0000-0002-6427-4612</orcidid><orcidid>https://orcid.org/0000-0002-1737-133X</orcidid><orcidid>https://orcid.org/0000-0003-4147-9487</orcidid></search><sort><creationdate>20210401</creationdate><title>A Comparative Analysis of Buffer Management Algorithms for Delay Tolerant Wireless Sensor Networks</title><author>Soderman, Pehr ; Grinnemo, Karl-Johan ; Hidell, Markus ; Sjodin, Peter</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c434t-e2d2f4cdc5456f7fd19b50f6f2335b1da621047e0a77247087bdcfb8dd5f61a93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>buffer</topic><topic>Buffers</topic><topic>Computer Science</topic><topic>Datavetenskap</topic><topic>delay tolerant</topic><topic>Delays</topic><topic>disruption tolerant networking</topic><topic>dt-wsn</topic><topic>Factorial experiments</topic><topic>Multicast algorithms</topic><topic>Network latency</topic><topic>Performance evaluation</topic><topic>quality of service</topic><topic>Routing</topic><topic>Routing (telecommunications)</topic><topic>Routing protocols</topic><topic>Sensors</topic><topic>Wireless networks</topic><topic>Wireless sensor networks</topic><topic>wsn</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Soderman, Pehr</creatorcontrib><creatorcontrib>Grinnemo, Karl-Johan</creatorcontrib><creatorcontrib>Hidell, Markus</creatorcontrib><creatorcontrib>Sjodin, Peter</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Explore</collection><collection>CrossRef</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Karlstads universitet</collection><collection>SWEPUB Kungliga Tekniska Högskolan</collection><jtitle>IEEE sensors journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Soderman, Pehr</au><au>Grinnemo, Karl-Johan</au><au>Hidell, Markus</au><au>Sjodin, Peter</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Comparative Analysis of Buffer Management Algorithms for Delay Tolerant Wireless Sensor Networks</atitle><jtitle>IEEE sensors journal</jtitle><stitle>JSEN</stitle><date>2021-04-01</date><risdate>2021</risdate><volume>21</volume><issue>7</issue><spage>9612</spage><epage>9619</epage><pages>9612-9619</pages><issn>1530-437X</issn><issn>1558-1748</issn><eissn>1558-1748</eissn><coden>ISJEAZ</coden><abstract>One of the challenges in Delay Tolerant Wireless Sensor Networks (DT-WSN), is to handle situations where the available buffer space is insufficient- the buffer management problem. Although several buffer management algorithms have been proposed for DT-WSNs, to the best of our knowledge, there is no comprehensive study on the effects different factors have on their performance, and which evaluates the relative performance of these algorithms in different contexts. This paper evaluates in a fixed-factor factorial experiment the performance in terms of latency and Quality of Information (QoI) of four representative buffer management algorithms for DT-WSNs; two traditional, FiFO and Random, and two QoI-based algorithms- one proposed by Humber and Ngai and the SmartGap algorithm. The evaluation suggests that the buffer management algorithm in combination with employed routing protocol and the sensor node buffer sizes have a significant impact on latency, while the obtained QoI rather depends on the characteristics of the transported data and the routing protocol, provided a single-copy routing protocol is used. Moreover, the evaluation suggests that QoI-based buffer management algorithms do offer improved QoI, with an 31% improvement in MAE for SmartGap compared to FIFO. However, they do so at the expense of higher latency, with SmartGap giving a 60% higher latency than FIFO on average.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/JSEN.2021.3054513</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-6427-4612</orcidid><orcidid>https://orcid.org/0000-0002-1737-133X</orcidid><orcidid>https://orcid.org/0000-0003-4147-9487</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 1530-437X
ispartof IEEE sensors journal, 2021-04, Vol.21 (7), p.9612-9619
issn 1530-437X
1558-1748
1558-1748
language eng
recordid cdi_crossref_primary_10_1109_JSEN_2021_3054513
source IEEE Electronic Library (IEL) Journals
subjects Algorithms
buffer
Buffers
Computer Science
Datavetenskap
delay tolerant
Delays
disruption tolerant networking
dt-wsn
Factorial experiments
Multicast algorithms
Network latency
Performance evaluation
quality of service
Routing
Routing (telecommunications)
Routing protocols
Sensors
Wireless networks
Wireless sensor networks
wsn
title A Comparative Analysis of Buffer Management Algorithms for Delay Tolerant Wireless Sensor Networks
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T19%3A04%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Comparative%20Analysis%20of%20Buffer%20Management%20Algorithms%20for%20Delay%20Tolerant%20Wireless%20Sensor%20Networks&rft.jtitle=IEEE%20sensors%20journal&rft.au=Soderman,%20Pehr&rft.date=2021-04-01&rft.volume=21&rft.issue=7&rft.spage=9612&rft.epage=9619&rft.pages=9612-9619&rft.issn=1530-437X&rft.eissn=1558-1748&rft.coden=ISJEAZ&rft_id=info:doi/10.1109/JSEN.2021.3054513&rft_dat=%3Cproquest_cross%3E2498877241%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c434t-e2d2f4cdc5456f7fd19b50f6f2335b1da621047e0a77247087bdcfb8dd5f61a93%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2498877241&rft_id=info:pmid/&rft_ieee_id=9335637&rfr_iscdi=true