A Coverage-Aware Distributed K-Connectivity Maintenance Algorithm for Arbitrarily Large K in Mobile Sensor Networks
A Coverage-Aware Distributed K-Connectivity Maintenance Algorithm for Arbitrarily Large K in Mobile Sensor Networks
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Özet
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 k-connected network can tolerate at least k-1 arbitrary node failures without losing its connectivity. In this study, we present a coverage-aware distributed k-connectivity maintenance (restoration) algorithm that generates minimum-cost movements of active nodes after a node failure to preserve a persistent k 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 k-connectivity more efficiently than the existing restoration algorithms. Furthermore, our algorithm can be utilized to maintain k-connectivity without sacrificing the coverage, significantly.
Açıklama
Anahtar kelimeler
Topology, Robot sensing systems, Maintenance engineering, Network topology, Upper bound, Time complexity, Partitioning algorithms, Mobile sensor networks, k-connectivity, distributed algorithm, connectivity maintenance, restoration, reliability, fault tolerance, Restoration, Deployment, distributed algorithm, Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, Network topology, restoration, reliability, Deployment, connectivity maintenance, Topology, Maintenance engineering, Partitioning algorithms, Computer Science - Networking and Internet Architecture, Mobile sensor networks, k-connectivity, Computer Science - Distributed, Parallel, and Cluster Computing, Time complexity, Restoration, Robot sensing systems, fault tolerance, Distributed, Parallel, and Cluster Computing (cs.DC), Upper bound
Bilim Dalları
02 engineering and technology, 0202 electrical engineering, electronic engineering, information engineering
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WoS Q
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