Constructing low-connectivity and full-coverage three dimensional sensor networks
IEEE Journal on Selected Areas in Communications, 2010•ieeexplore.ieee.org
Low-connectivity and full-coverage three dimensional Wireless Sensor Networks (WSNs)
have many real-world applications. By low connectivity, we mean there are at least k disjoint
paths between any two sensor nodes in a WSN, where k≤ 4. In this paper, we design a set
of patterns to achieve 1-, 2-, 3-and 4-connectivity and full-coverage, and prove their
optimality under any value of the ratio of communication range rc over sensing range rs,
among regular lattice deployment patterns. We further investigate the evolutions among all …
have many real-world applications. By low connectivity, we mean there are at least k disjoint
paths between any two sensor nodes in a WSN, where k≤ 4. In this paper, we design a set
of patterns to achieve 1-, 2-, 3-and 4-connectivity and full-coverage, and prove their
optimality under any value of the ratio of communication range rc over sensing range rs,
among regular lattice deployment patterns. We further investigate the evolutions among all …
Low-connectivity and full-coverage three dimensional Wireless Sensor Networks (WSNs) have many real-world applications. By low connectivity, we mean there are at least k disjoint paths between any two sensor nodes in a WSN, where k ≤ 4. In this paper, we design a set of patterns to achieve 1-, 2-, 3- and 4-connectivity and full-coverage, and prove their optimality under any value of the ratio of communication range r c over sensing range r s , among regular lattice deployment patterns. We further investigate the evolutions among all the proposed low-connectivity patterns. Finally, we study the proposed patterns under several practical settings.
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