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New PDF release: Bio-Inspired Computation in Telecommunications

By Xin-She Yang

ISBN-10: 0128015381

ISBN-13: 9780128015384

Bio-inspired computation, particularly these in response to swarm intelligence, has turn into more and more well known within the final decade. Bio-Inspired Computation in Telecommunications reviews the newest advancements in bio-inspired computation from either idea and alertness as they relate to telecommunications and photograph processing, delivering a whole source that analyzes and discusses the most recent and destiny tendencies in examine instructions. Written by way of famous specialists, it is a must-have advisor for researchers, telecommunication engineers, laptop scientists and PhD students.

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47 (1), 86–90. , 1995. Applications of genetic algorithms in telecommunications. In: Proceedings of the 2nd International Workshop on Applications of Neural Networks to Telecommunications (IWANNT’95), Stockholm, Sweden, pp. 290–299. , 2010. Towards green wireless access networks. In: 2010 5th IEEE International ICST Conference on Communications and Networking in China (CHINACOM), pp. 1–6. , 2013. Optimizing energy efficiency in multi-user OFDMA systems with genetic algorithm. In: 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp.

Another interesting issue is the point-to-multipoint routing. Hoelting et al. (1996) studied a tour for fault detecting in a point-to-point telecommunication network. They claimed that their GA approach outperforms the deterministic method. Hoelting et al. (1996) also studied broadcasting messages from the station to all nodes with the least possible broadcasting time. Their computed results showed that the GA with a permutation-based encoding achieved better results. In essence, the shortest path routing protocol is a routing protocol that connects between Internet Service Providers.

2010), emerging heterogeneous networks (mixture of macrocells, microcells, picocells, and femtocells), various relay and cooperative communications, and so on. Richter et al. , 2009) for energy-efficient applications in heterogeneous networks. They studied the optimal layout of microcells overlaying conventional macrocells. In particular, many researchers focus on the simple energy consumption models of different BSs, considering fewer scenarios as the case studies. ). The energy consumption at the BS was modeled as the sum of these two types of power.

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Bio-Inspired Computation in Telecommunications by Xin-She Yang

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