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Titlebook: Computational Intelligence in Wireless Sensor Networks; Recent Advances and Ajith Abraham,Rafael Falcon,Mario Koeppen Book 2017 Springer I

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978-3-319-83804-5Springer International Publishing AG 2017
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Computational Intelligence in Wireless Sensor Networks978-3-319-47715-2Series ISSN 1860-949X Series E-ISSN 1860-9503
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Ajith Abraham,Rafael Falcon,Mario KoeppenPresents recent advances and future challenges of computational intelligence (CI) in wireless sensor networks.Surveys the state of the art in CI applied to challenging real-world problems in the wirel
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https://doi.org/10.1007/978-3-658-41149-7ple in their power requirements. This raises the problem of automatically controlling heterogeneous sensor suites in wireless sensor network applications, in a manner that balances cost and accuracy of sensors. We apply genetic programming (GP) to this problem, considering two basic approaches. Firs
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https://doi.org/10.1007/978-3-658-41149-7), whose topology can vary from a simple star network to an advanced multi-hop wireless mesh network. The main topological feature in this case is that nodes are organized in a mesh topology, making WMNs a reliable infrastructure through redundancy of multi-hop communications. The main issue of WMNs
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https://doi.org/10.1007/978-3-322-86284-6used huge waste of time, property damage and environmental pollution in recent years. To address these problems, use of information communication technology-based transport systems that can support maximum utilization of the existing road transport infrastructure has been proposed by different resea
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Physica-Schriften zur Betriebswirtschafto security in WSN environments. The application of intelligent computing works efficiently for many computing and scientific problems; but, the computational intelligence (CI) based security schemes have not been properly explored. Here, we explore the CI-based approach for scientific computing prob
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