A Coverage-Aware Distributed k-Connectivity Maintenance Algorithm for Arbitrarily Large k in Mobile Sensor Networks
Mobile sensor networks (MSNs) have emerged from the interaction between mobile robotics and wireless sensor networks. MSNs can be deployed in harsh environments, where failures in some nodes can partition MSNs into disconnected network segments or reduce the coverage area. A <inline-formula> &...
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| Published in: | IEEE/ACM transactions on networking Vol. 30; no. 1; pp. 62 - 75 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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IEEE
01.02.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1063-6692, 1558-2566 |
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| Abstract | Mobile sensor networks (MSNs) have emerged from the interaction between mobile robotics and wireless sensor networks. MSNs can be deployed in harsh environments, where failures in some nodes can partition MSNs into disconnected network segments or reduce the coverage area. A <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula>-connected network can tolerate at least <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula>-1 arbitrary node failures without losing its connectivity. In this study, we present a coverage-aware distributed <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula>-connectivity maintenance (restoration) algorithm that generates minimum-cost movements of active nodes after a node failure to preserve a persistent <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula> value subject to a coverage conservation criterion. The algorithm accepts a coverage conservation ratio (as a trade-off parameter between coverage and movements) and facilitates coverage with the generated movements according to this value. Extensive simulations and testbed experiments reveal that the proposed algorithm restores <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula>-connectivity more efficiently than the existing restoration algorithms. Furthermore, our algorithm can be utilized to maintain <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula>-connectivity without sacrificing the coverage, significantly. |
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| AbstractList | Mobile sensor networks (MSNs) have emerged from the interaction between mobile robotics and wireless sensor networks. MSNs can be deployed in harsh environments, where failures in some nodes can partition MSNs into disconnected network segments or reduce the coverage area. A <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula>-connected network can tolerate at least <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula>-1 arbitrary node failures without losing its connectivity. In this study, we present a coverage-aware distributed <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula>-connectivity maintenance (restoration) algorithm that generates minimum-cost movements of active nodes after a node failure to preserve a persistent <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula> value subject to a coverage conservation criterion. The algorithm accepts a coverage conservation ratio (as a trade-off parameter between coverage and movements) and facilitates coverage with the generated movements according to this value. Extensive simulations and testbed experiments reveal that the proposed algorithm restores <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula>-connectivity more efficiently than the existing restoration algorithms. Furthermore, our algorithm can be utilized to maintain <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula>-connectivity without sacrificing the coverage, significantly. Mobile sensor networks (MSNs) have emerged from the interaction between mobile robotics and wireless sensor networks. MSNs can be deployed in harsh environments, where failures in some nodes can partition MSNs into disconnected network segments or reduce the coverage area. A [Formula Omitted]-connected network can tolerate at least [Formula Omitted]-1 arbitrary node failures without losing its connectivity. In this study, we present a coverage-aware distributed [Formula Omitted]-connectivity maintenance (restoration) algorithm that generates minimum-cost movements of active nodes after a node failure to preserve a persistent [Formula Omitted] value subject to a coverage conservation criterion. The algorithm accepts a coverage conservation ratio (as a trade-off parameter between coverage and movements) and facilitates coverage with the generated movements according to this value. Extensive simulations and testbed experiments reveal that the proposed algorithm restores [Formula Omitted]-connectivity more efficiently than the existing restoration algorithms. Furthermore, our algorithm can be utilized to maintain [Formula Omitted]-connectivity without sacrificing the coverage, significantly. |
| Author | Dagdeviren, Orhan Akram, Vahid Khalilpour Tavli, Bulent |
| Author_xml | – sequence: 1 givenname: Vahid Khalilpour orcidid: 0000-0002-4082-6419 surname: Akram fullname: Akram, Vahid Khalilpour email: vahid.akram@ege.edu.tr organization: International Computer Institute, Ege University, Izmir, Turkey – sequence: 2 givenname: Orhan orcidid: 0000-0001-8789-5086 surname: Dagdeviren fullname: Dagdeviren, Orhan email: orhan.dagdeviren@ege.edu.tr organization: International Computer Institute, Ege University, Izmir, Turkey – sequence: 3 givenname: Bulent orcidid: 0000-0002-9615-1983 surname: Tavli fullname: Tavli, Bulent email: btavli@etu.edu.tr organization: Electrical and Electronics Engineering Department, TOBB University of Economics and Technology, Ankara, Turkey |
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| Title | A Coverage-Aware Distributed k-Connectivity Maintenance Algorithm for Arbitrarily Large k in Mobile Sensor Networks |
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