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Titlebook: Algorithms for Sensor Systems; 9th International Sy Paola Flocchini,Jie Gao,Friedhelm Meyer auf der He Conference proceedings 2014 Springer

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楼主: Iridescent
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Counting in Anonymous Dynamic Networks: An Experimental Perspective,odes to the leader to converge to an exact count of the number of nodes having no knowledge on the dynamic network. Unfortunately . is an . counting algorithm, i.e., the algorithm eventually converges to the exact count but there is no node in the network that is able to detect when this happens. In
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A Distributed Approximation Algorithm for Strongly Connected Dominating-Absorbent Sets in Asymmetrithm gives an .-approximation ratio and has a runtime bound of . where . is the diameter of the graph and . denotes the transmission ratio . with . and . being the maximum and minimum transmission range, respectively. Moreover, we apply our algorithm on the subgraph of disk graphs consisting of only
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Optimal Nearest Neighbor Queries in Sensor Networks, approximation for . cost in the constant-doubling graph model, where . and ., respectively, are the number of nodes and the diameter of the network. We also give polylogarithmic approximations for both . and . cost in the general graph model. Our bounds are deterministic and hold in the worst-case.
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https://doi.org/10.1007/978-3-662-02219-1connected clients, a client ., which bounds the maximum time that an active client is not transmitting to some base station, and a ., which bounds the minimum bandwidth that a client requires in each transmission. Under the model described, we study the problem of assigning clients to base stations
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Das Arbeiten mit den Vorrichtungen, slots are required to simulate synchronized . algorithms in the SINR model of interference, where . is the diameter of the network. For our algorithms we assume location information to be given. Regarding the case without location information we argue that a deterministic algorithm to compute local
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