But machine learning approaches also cannot solve all the problems in WSN solely. To conquer the limitations of traditional WSN algorithms, machine learning has been introduced in wireless technology. So, they suffer from a trade-off between various QoS parameters like network lifetime, energy efficiency, and others. The traditional WSN algorithms are programmed for fixed parameters without any touch of Artificial Intelligence as well as the optimization technique. The scalability, costeffectiveness, and self-configuring nature of WSN make it the fittest technology for many network designs and scenarios.
Since the last decade, wireless sensor network (WSN) and Internet of Things (IoT) has proved itself a versatile technology in many real-time applications.
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