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Titlebook: Algorithms for Sensor Systems; 10th International S Jie Gao,Alon Efrat,Yanyong Zhang Conference proceedings 2015 Springer-Verlag Berlin Hei

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樓主: crusade
31#
發(fā)表于 2025-3-26 21:39:39 | 只看該作者
32#
發(fā)表于 2025-3-27 04:20:11 | 只看該作者
Minimum Latency Aggregation Scheduling in Wireless Sensor Networkshat are represented as unit interval graphs, we give a 2-approximation algorithm for the problem. For .-regular unit interval graphs, we give an optimal algorithm: it is guaranteed to have a latency that is within one time slot of the optimal latency. We also give tight bounds for the latency of aggregation convergecast for grids and tori.
33#
發(fā)表于 2025-3-27 07:09:57 | 只看該作者
34#
發(fā)表于 2025-3-27 11:08:03 | 只看該作者
35#
發(fā)表于 2025-3-27 14:52:02 | 只看該作者
Der Weg aus dem Leadership Dilemmaments. In particular, we consider the multi-robot, multi-depot Dynamic Map Visitation Problem (DMVP), in which a team of robots must visit a collection of critical locations as quickly as possible, in an environment that may change rapidly and unpredictably during navigation. We analyze DMVP in the
36#
發(fā)表于 2025-3-27 19:13:30 | 只看該作者
37#
發(fā)表于 2025-3-27 23:49:24 | 只看該作者
Der Weg aus der Digitalisierungsfalleompute-Move cycles. In one cycle, a robot perceives the current configuration in terms of robots distribution (Look), decides whether to move toward some direction (Compute), and in the positive case it moves (Move). Cycles are performed asynchronously for each robot. Robots are anonymous and execut
38#
發(fā)表于 2025-3-28 03:58:38 | 只看該作者
,Das Problem und seine Hintergründe,n as .. Agents move in synchronous rounds using a deterministic algorithm. In each round, an agent decides to either remain idle or to move to one of the adjacent nodes. Each agent has a distinct integer label from the set ., which it can use in the execution of the algorithm, but it does not know t
39#
發(fā)表于 2025-3-28 07:14:34 | 只看該作者
40#
發(fā)表于 2025-3-28 14:03:17 | 只看該作者
,Hauptursachen für Radikalisierungsprozesse, sensors . and . to communicate, . has to be covered by the antenna of . and vice versa. Assuming the Unit Disc Graph (.) of . is connected, the problem we attack is: How to orient the antennas so that the resulting connectivity graph is a .-spanner of the ., while minimizing the radius used?.We pro
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