Titlebook: Algorithms for Sensor Systems; 7th International Sy Thomas Erlebach,Sotiris Nikoletseas,Pekka Orponen Conference proceedings 2012 Springer-

chastise

fructose

孵卵器

AROMA

Neighbor Discovery in a Sensor Network with Directional Antennaeoring of the network, and 2) randomized algorithms that require knowledge only of an upper bound on the size of the network so as to accomplish neighbor discovery. In both instances we study tradeoffs on the efficiency of the algorithms proposed.

领导权

表皮

Distributed (Δ + 1)-Coloring in the Physical Modelthe utility of these algorithms in practice..In this paper, for the first time, we consider the distributed Δ + 1-coloring problem under the more practical SINR interference model. In particular, without requiring any knowledge about the neighborhood, we propose a novel randomized (Δ + 1)-coloring a

国家明智

轻快带来危险

Minimum-Cost Broadcast through Varying-Size Neighborcastable with a factor varying from 2 + 2.. down to 2 as . varies from 0 to 1 (via a modified CDS algorithm), and thence with a factor varying from 2 to 1 (i.e., optimal) as . varies from 1 to ., and optimal thereafter (both via spanning tree)..For arbitrary cost functions of the form 1 + .(.), these al

清真寺

Multi-hop Routing and Scheduling in Wireless Networks in the SINR Modelmax-to-min power, and Δ denotes the ratio of the max-to-min distance. Hence, the approximation ratio is .(log. ·(logΓ + logΔ))..Finally, we consider the case that the algorithm needs to assign powers to each link in a range [..,..]. An extension of the algorithm to this case achieves an approximatio

acrobat