Abstract
Wireless sensor networks (WSN) is the collection of thousands sensor nodes. WSN faces many problems related to communication failures, data storage, and limited power supply. This paper includes the existing paradigms, such as fuzzy logic, neural network, evolutionary computing with some hybrid paradigms of computational intelligence, including some major challenges which help to reduce the gap between researchers and developers of WSN.
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Taruna, S., Nidhi Bhartiya (2016). A Survey Paper on Computational Intelligence Approaches. In: Afzalpulkar, N., Srivastava, V., Singh, G., Bhatnagar, D. (eds) Proceedings of the International Conference on Recent Cognizance in Wireless Communication & Image Processing. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2638-3_68
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DOI: https://doi.org/10.1007/978-81-322-2638-3_68
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