Titlebook: Nature Inspired Computing for Wireless Sensor Networks; Debashis De,Amartya Mukherjee,Nilanjan Dey Book 2020 Springer Nature Singapore Pte

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Anindita Raychaudhuri,Debashis Der curricular and course content. If teacher educators could recognize the issues of practicum students and have them addressed, the anxiety felt by student teachers could be lessened as they go out to learn the ‘how’ and ‘what’ to teach. The value of the study was in the pursuit of using student tea

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Madhuri Malakar,Shwetae Rasch model is proposed in this chapter. In this approach, concurrent and separate applications are conducted at different stages. The quality of linking items was investigated intensively, and the impact of underfit individuals was taken into account during the vertical scaling procedure. The pro

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Book 2020 a number of limitations in the context of battery issue, distraction, low communication speed, and security. This means there is a need for innovative intelligent algorithms to address these issues..The book is divided into three sections and also includes an introductory chapter providing an overv

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2524-552X eling – key areas in wireless sensors.Explores computationalThis book presents nature inspired computing applications for the wireless sensor network (WSN). Although the use of WSN is increasing rapidly, it has a number of limitations in the context of battery issue, distraction, low communication s

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Intelligent Routing in Wireless Sensor Network Based on African Buffalo Optimizationin controller of the WSN and manages all the sensor nodes in correspondence with the BS. It also helps to transfer data packets from the source node to the sink node efficiently. Further, it enhances the network lifetime and improves other performance metrics of the WSN.

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https://doi.org/10.1007/978-981-15-2125-6Intelligent Sensor; Wireless Sensor Network; Ubiquitous Sensing; Nature Inspired Sensing; Cyber Physical

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