Machine Learning-Based Intelligent Approach for Energy Efficient Transmission in Wireless Communication: A Review

Machine Learning-Based Intelligent Approach for Energy Efficient Transmission in Wireless Communication: A Review

연구 분야: Infrastructure

학회: International Conference on Artificial Intelligence and its Application

The most popular technologies nowadays are wireless sensor networks, which have advantages like low cost, small size, and mobility. But the networks like Wireless Sensor Network (WSNs) are resource constrained with respect to energy utilization that comprises tiny solitary sensor nodes with limited bandwidth. Furthermore, some of the other main issues to pay attention are: accumulating sensed information from the network, transferring the data to the base station while focusing on network coverage, lifetime, and power conservation. More researchers have recently become interested in using machine learning techniques in wireless networks to solve these problems that arise in the specified network. This paper reviews the existing approaches of machine learning that have already proposed. Furthermore, detailed analysis of exiting work also discussed in the form of table that serve as a reference for anyone interested in learning more about designing suitable Machine Learning solutions for the wireless sensor netwok’s applications.