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Yingshu Li, My T. Thai, and Weili Wu

"Wireless Sensor Networks and Applications"

Until all nodes are processed, the
final graph is formed by edges E???. Finally, run the greedy spanner algorithm
by Gudmundsson et al [54] to bound the weight of the graph. Li et al [55]
proved that given a set V of n points in a two-dimensional plane, the above
O(n log n)-time algorithm constructs a graph (1) that is planar; (2) that is
a t-spanner, for t = (max{??
2 , ?? sin ?®
2 + 1} ?· Cdel)2(1 + ?«); (3) in which each
point of V has degree at most 19 + ???2??
?® ??‰; (4) and whose total edge weight
is bounded from above by a constant factor1 of the weight of the Euclidean
minimum spanning tree of V . Here 0 < ?± < ??/2 is an adjustable parameter.
The time complexity of the algorithm is O(n log n), the same as the method
by Bose et al [53]. However, it has smaller bounded node degree, and it has
potential to become a localized version for wireless sensor networks applicaperformed
in a local way.
Most recently, Li et al [56] proposed the first distributed method to construct
a new bounded degree planar spanner which is also low-weighted.
They first proposed a new bounded degree planar power-spanner called
S??GG, which is similar with SY aoGG [46] except using a new concept of
??-dominating region instead of the fixed cones. Then, they described a novel
distributed algorithm to build a low-weight structure from S??GG by removing
some of its edges. The removing process is carefully designed so that it
does not destroy the spanner property and other nice properties.


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