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On the Tradeoff Between Network Lifetime and k-Connectivity-Based Reliability in UWSNs
Underwater wireless sensor networks (UWSNs) are utilized for a wide range of monitoring and surveillance applications. Lifetime maximization and maintenance of network reliability are among the most important considerations in the deployment of UWSNs. k -connectivity is a robust approach for reinfo...
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Published in: | IEEE internet of things journal 2022-12, Vol.9 (23), p.24444-24452 |
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creator | Cobanlar, Muhammed Yildiz, Huseyin Ugur Akram, Vahid Khalilpour Dagdeviren, Orhan Tavli, Bulent |
description | Underwater wireless sensor networks (UWSNs) are utilized for a wide range of monitoring and surveillance applications. Lifetime maximization and maintenance of network reliability are among the most important considerations in the deployment of UWSNs. k -connectivity is a robust approach for reinforcing reliability. However, maintaining k disjoint paths from each sensor node to the BS, inevitably, results in extra energy dissipation, which reduces the network lifetime (NLT). Yet, there is no systematic exploration to determine the extent of lifetime reduction due to the increase in the k value, in the literature, to the best of our knowledge. In this study, we create an optimization framework to be able to explore the tradeoff between NLT and k -connectivity-based reliability in UWSNs. Through the optimal solutions of the proposed optimization model for a large set of salient parameters, we characterize the interplay between lifetime and k -connectivity. Our analysis reveals that the k value to be maintained in a UWSN can affect the NLT significantly. |
doi_str_mv | 10.1109/JIOT.2022.3188558 |
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Lifetime maximization and maintenance of network reliability are among the most important considerations in the deployment of UWSNs. <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula>-connectivity is a robust approach for reinforcing reliability. However, maintaining <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula> disjoint paths from each sensor node to the BS, inevitably, results in extra energy dissipation, which reduces the network lifetime (NLT). Yet, there is no systematic exploration to determine the extent of lifetime reduction due to the increase in the <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula> value, in the literature, to the best of our knowledge. In this study, we create an optimization framework to be able to explore the tradeoff between NLT and <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula>-connectivity-based reliability in UWSNs. Through the optimal solutions of the proposed optimization model for a large set of salient parameters, we characterize the interplay between lifetime and <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula>-connectivity. Our analysis reveals that the <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula> value to be maintained in a UWSN can affect the NLT significantly.]]></description><identifier>ISSN: 2327-4662</identifier><identifier>EISSN: 2327-4662</identifier><identifier>DOI: 10.1109/JIOT.2022.3188558</identifier><identifier>CODEN: IITJAU</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Connectivity ; Costs ; Energy dissipation ; Internet of Things ; k-connectivity ; Maintenance engineering ; mixed-integer linear programming (MILP) ; network lifetime (NLT) ; Network reliability ; Optimization ; Optimization models ; Reliability ; Sensors ; Symbols ; Tradeoffs ; underwater wireless sensor networks (UWSNs) ; Wireless networks ; Wireless sensor networks</subject><ispartof>IEEE internet of things journal, 2022-12, Vol.9 (23), p.24444-24452</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c223t-8daccc5b874326e54138ef21b974486403e48af86b3c0c9edf87b171df85f2bb3</citedby><cites>FETCH-LOGICAL-c223t-8daccc5b874326e54138ef21b974486403e48af86b3c0c9edf87b171df85f2bb3</cites><orcidid>0000-0002-9615-1983 ; 0000-0001-8789-5086 ; 0000-0002-1556-2634 ; 0000-0003-1725-7892 ; 0000-0002-4082-6419</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9815286$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,54796</link.rule.ids></links><search><creatorcontrib>Cobanlar, Muhammed</creatorcontrib><creatorcontrib>Yildiz, Huseyin Ugur</creatorcontrib><creatorcontrib>Akram, Vahid Khalilpour</creatorcontrib><creatorcontrib>Dagdeviren, Orhan</creatorcontrib><creatorcontrib>Tavli, Bulent</creatorcontrib><title>On the Tradeoff Between Network Lifetime and k-Connectivity-Based Reliability in UWSNs</title><title>IEEE internet of things journal</title><addtitle>JIoT</addtitle><description><![CDATA[Underwater wireless sensor networks (UWSNs) are utilized for a wide range of monitoring and surveillance applications. Lifetime maximization and maintenance of network reliability are among the most important considerations in the deployment of UWSNs. <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula>-connectivity is a robust approach for reinforcing reliability. However, maintaining <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula> disjoint paths from each sensor node to the BS, inevitably, results in extra energy dissipation, which reduces the network lifetime (NLT). Yet, there is no systematic exploration to determine the extent of lifetime reduction due to the increase in the <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula> value, in the literature, to the best of our knowledge. In this study, we create an optimization framework to be able to explore the tradeoff between NLT and <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula>-connectivity-based reliability in UWSNs. Through the optimal solutions of the proposed optimization model for a large set of salient parameters, we characterize the interplay between lifetime and <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula>-connectivity. Our analysis reveals that the <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula> value to be maintained in a UWSN can affect the NLT significantly.]]></description><subject>Connectivity</subject><subject>Costs</subject><subject>Energy dissipation</subject><subject>Internet of Things</subject><subject>k-connectivity</subject><subject>Maintenance engineering</subject><subject>mixed-integer linear programming (MILP)</subject><subject>network lifetime (NLT)</subject><subject>Network reliability</subject><subject>Optimization</subject><subject>Optimization models</subject><subject>Reliability</subject><subject>Sensors</subject><subject>Symbols</subject><subject>Tradeoffs</subject><subject>underwater wireless sensor networks (UWSNs)</subject><subject>Wireless networks</subject><subject>Wireless sensor networks</subject><issn>2327-4662</issn><issn>2327-4662</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNpNkF1LwzAUhoMoOOZ-gHgT8LozH02aXrrhx2RsoJtehjQ9weyjnUmn7N_bsiFevYfD854DD0LXlAwpJfndy2S-GDLC2JBTpYRQZ6jHOMuSVEp2_m--RIMYV4SQtiZoLnvofV7h5hPwIpgSaufwCJofgArP2qzDGk-9g8ZvAZuqxOtkXFcV2MZ_--aQjEyEEr_CxpvCb9oN9hVefrzN4hW6cGYTYXDKPlo-PizGz8l0_jQZ308TyxhvElUaa60oVJZyJkGklCtwjBZ5lqZKpoRDqoxTsuCW2BxKp7KCZrRN4VhR8D66Pd7dhfprD7HRq3ofqvalZhnPhFQ0Jy1Fj5QNdYwBnN4FvzXhoCnRnUHdGdSdQX0y2HZujh0PAH98rqhgSvJfPC9rwA</recordid><startdate>20221201</startdate><enddate>20221201</enddate><creator>Cobanlar, Muhammed</creator><creator>Yildiz, Huseyin Ugur</creator><creator>Akram, Vahid Khalilpour</creator><creator>Dagdeviren, Orhan</creator><creator>Tavli, Bulent</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Lifetime maximization and maintenance of network reliability are among the most important considerations in the deployment of UWSNs. <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula>-connectivity is a robust approach for reinforcing reliability. However, maintaining <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula> disjoint paths from each sensor node to the BS, inevitably, results in extra energy dissipation, which reduces the network lifetime (NLT). Yet, there is no systematic exploration to determine the extent of lifetime reduction due to the increase in the <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula> value, in the literature, to the best of our knowledge. In this study, we create an optimization framework to be able to explore the tradeoff between NLT and <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula>-connectivity-based reliability in UWSNs. Through the optimal solutions of the proposed optimization model for a large set of salient parameters, we characterize the interplay between lifetime and <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula>-connectivity. Our analysis reveals that the <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula> value to be maintained in a UWSN can affect the NLT significantly.]]></abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/JIOT.2022.3188558</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-9615-1983</orcidid><orcidid>https://orcid.org/0000-0001-8789-5086</orcidid><orcidid>https://orcid.org/0000-0002-1556-2634</orcidid><orcidid>https://orcid.org/0000-0003-1725-7892</orcidid><orcidid>https://orcid.org/0000-0002-4082-6419</orcidid></addata></record> |
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subjects | Connectivity Costs Energy dissipation Internet of Things k-connectivity Maintenance engineering mixed-integer linear programming (MILP) network lifetime (NLT) Network reliability Optimization Optimization models Reliability Sensors Symbols Tradeoffs underwater wireless sensor networks (UWSNs) Wireless networks Wireless sensor networks |
title | On the Tradeoff Between Network Lifetime and k-Connectivity-Based Reliability in UWSNs |
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