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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Vydáno v:IEEE/ACM transactions on networking Ročník 30; číslo 1; s. 62 - 75
Hlavní autoři: Akram, Vahid Khalilpour, Dagdeviren, Orhan, Tavli, Bulent
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York 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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Shrnutí: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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ISSN:1063-6692
1558-2566
DOI:10.1109/TNET.2021.3104356