Download Bio-Inspired Computation in Telecommunications by Xin-She Yang PDF

By Xin-She Yang

Bio-inspired computation, specially these in line with swarm intelligence, has turn into more and more renowned within the final decade. Bio-Inspired Computation in Telecommunications reviews the newest advancements in bio-inspired computation from either conception and alertness as they relate to telecommunications and photograph processing, offering an entire source that analyzes and discusses the most recent and destiny traits in learn instructions. Written by way of famous specialists, this can be a must-have consultant for researchers, telecommunication engineers, desktop scientists and PhD students.

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N) to be processed in a set of m machines (1, . . , m) in the same order. The author compared the FA with ACO, and the preliminary results showed a better performance of FA. Clustering is another area where FA can be employed. Clustering is a technique that has the characteristic of grouping data objects into clusters and finding hidden patterns that may exist in data sets. It is usually connected to classification problems. Through clustering techniques, it is possible to take an amount of data, find groups and classifications, and extract information to infer better conclusions about the problem.

As the distance between a user and the antenna varies in a wide range, this can cause variations of the transmission power. Therefore, an efficient algorithm for the deployment of RRUs is necessary in order to achieve better EE. On the other hand, the green cellular is another new architecture, proposed by Ezri and Shilo (2009), targeting the minimal emission from mobile stations without any additional radiation sources. This new architecture is equipped with “dubbed green antennas” at each transceiver in the BS.

1994. Terminal assignment in a communications network using genetic algorithms. In: Proceedings of the 22nd Annual ACM Computer Science Conference (CSC’94), Phoenix, AZ, USA, pp. 74–81. , 2000. Routing and wavelength assignment with power considerations in optical networks. Comput. Netw. 32, 539–555. , 2008. 16 multi-hop wireless backhaul networks based on evolutionary game theory. IEEE J. Sel. Areas Commun. 26 (7), 1218–1225. , 2009. End-to-end energy–bandwidth tradeoff in multihop wireless networks.

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