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- W3080248826 abstract "The Internet of Things (IoT) is a global network. In this network physical objects or things are combined with digital components. It enables these things to connect, aggregate, and interchange data with each other to generate a novel category of services and applications. The IoT network can grow rapidly resulting in an exponential increase in the variety, velocity and the overall volume of data. As a result, there are challenges facing the IoT such as energy, storage, connectivity, security, and privacy. Swarm intelligence (SI) is an artificial intelligence approach which is inspired by natural behavior to solve optimization problems. We review in this paper the implementation of the cluster head process using some proper SI algorithms for improving energy awareness in IoT and expand the network lifetime." @default.
- W3080248826 created "2020-09-01" @default.
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- W3080248826 date "2020-01-01" @default.
- W3080248826 modified "2023-10-10" @default.
- W3080248826 title "Swarm intelligence algorithms and their applications in Internet of Things" @default.
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- W3080248826 doi "https://doi.org/10.1016/b978-0-12-818287-1.00003-6" @default.
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