Titlebook: Algorithms for Sensor Systems; 13th International S Antonio Fernández Anta,Tomasz Jurdzinski,Yanyong Z Conference proceedings 2017 Springer

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內(nèi)部

Energy-Optimal Broadcast in a Tree with Mobile Agents,he number of leaves of .), then our approach results in an .(.) time algorithm..When the source of information . is initially at the root ., our algorithm solves the problem of searching the tree (exploring it) by a set of agents using minimal energy. It is known that, even if the tree is a line, th

induct

Searching for a Non-adversarial, Uncooperative Agent on a Cycle,shown to be .. Moreover, for all . there exists a speed . such that any algorithm knowing neither the bus speed nor its direction will need time at least . to meet the bus..These results are also generalized to . robots and analogous tight upper and lower bounds are proved depending on the knowledge

露天歷史劇

生氣的邊緣

拘留

Independent Sets in Restricted Line of Sight Networks,ions of the Maximum Weighted Independent Set (MWIS) problem and a scheduling problem which exhibits LoS properties in one dimension. We use the initial DP algorithm to develop an efficient polynomial time approximation scheme (EPTAS) for the MIS problem in restricted LoS networks. This has important

grotto

Braid Chain Radio Communication, braid chain of . layers the normalized delay due to anti-collision mechanism is . (while the expected time for a chain of single stations is .), where . stands for the time interval length of Cai-Lu-Wang scheme. We also show that the behavior of the braid chain rapidly converges to its stationary d

孵卵器

Der Weg zu Burnout-freien Arbeitsweltenrithm which solves the leader election problem in . asynchronous rounds with high probability, where . is the number of particles in the system. Our algorithm relies only on local information — particles do not have unique identifiers, any knowledge of ., or any sort of global coordinate system — and requires only constant memory per particle.

Communicate

Gunter?R. K. Stahr Prof. Dr. Dr.edule, depending on .. We conducted a priori and a posteriori analysis of the accuracy of this algorithm for various . comparing either with the optimal length of the schedule, or with a lower bound, the value of which we improved.

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