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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書目名稱Algorithms for Sensor Systems影響因子(影響力)




書目名稱Algorithms for Sensor Systems影響因子(影響力)學(xué)科排名




書目名稱Algorithms for Sensor Systems網(wǎng)絡(luò)公開度




書目名稱Algorithms for Sensor Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Algorithms for Sensor Systems被引頻次




書目名稱Algorithms for Sensor Systems被引頻次學(xué)科排名




書目名稱Algorithms for Sensor Systems年度引用




書目名稱Algorithms for Sensor Systems年度引用學(xué)科排名




書目名稱Algorithms for Sensor Systems讀者反饋




書目名稱Algorithms for Sensor Systems讀者反饋學(xué)科排名

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Multi-Robot Foremost Coverage of Time-Varying Graphsments. 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

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Computing the Dynamic Diameter of Non-Deterministic Dynamic Networks is Hardcal static diameter, it is the maximum time needed for a node to causally influence any other node in the network. We consider the problem of computing the dynamic diameter of a given dynamic network. If the evolution is known a priori, that is if the network is deterministic, it is known it is quit

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Improved Spanners in Networks with Symmetric Directional Antennas 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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Exploiting Geometry in the SINR (_k) Model at ., where . is a sender and . is a receiver, one only considers the . most significant senders w.r.t. to . (other than?.). Assuming uniform power, these are the . closest senders to . (other than?.). Under this model, we consider the well-studied scheduling problem: Given a set . of sender-receiv

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Interference Minimization in Asymmetric Sensor Networks node corresponds to a point in . and each . corresponds to a ball. The receiver interference of a sensor node is defined as the number of transmission ranges it lies in. Our goal is to choose transmission radii that minimize the maximum interference while maintaining a strongly connected asymmetric

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