Abstract: In this paper we present a new approximation algorithm for
the Minimum Energy Broadcast Routing (MEBR) problem in ad hoc
wireless networks that has exponentially better approximation factor
than the well-known MinimumSpanningTree (MST) heuristic. Namely,
for any instance where a minimumspanningtree of the set of stations
is guaranteed to cost at most ½ times the cost of an optimal solution
for MEBR, we prove that our algorithm achieves an approximation ra-
tio bounded by 2 ln ½ ¡ 2 ln 2 + 2. This result is particularly relevant for
its consequences on Euclidean instances where we signi¯cantly improve
previous results.
Abstract: Dynamic graph algorithms have been extensively studied in the last two
decades due to their wide applicabilityin manycon texts. Recently, several
implementations and experimental studies have been conducted investigating
the practical merits of fundamental techniques and algorithms. In most
cases, these algorithms required sophisticated engineering and fine-tuning
to be turned into efficient implementations. In this paper, we surveysev -
eral implementations along with their experimental studies for dynamic
problems on undirected and directed graphs. The former case includes
dynamic connectivity, dynamic minimumspanningtrees, and the sparsification
technique. The latter case includes dynamic transitive closure and
dynamic shortest paths. We also discuss the design and implementation of
a software libraryfor dynamic graph algorithms.
Abstract: Two simple and work-efficient parallel algorithms for the minimumspanningtree problem are presented. Both algorithms perform O( m log n ) work. The first algorithm
runs in O( log^2 n ) time on an EREW PRAM while the second algorithm runs in O( log n ) time on a Common CRCW PRAM.