Machine Learning Aspects In Wireless Sensor Network

@article{1701252,
      author = {Mr. Sachin B. Jadhav},
      title = {Machine Learning Aspects In Wireless Sensor Network},
      journal = {Iconic Research And Engineering Journals},
      year = {2019},
      volume = {2},
      number = {11},
      pages = {246-250},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1701252.pdf},
      abstract = {With the evolution in electronic and wireless communication the cost of sensors having multi-function capability has dropped down dramatically. Also the power consumption by these sensors also came down. The sensors consist of wireless communication and capturing devices with data processing capability. Wireless Sensor Networks (WSNs) are used to collect data from physical environment.  These sensors have limitations of communication capabilities because of energy and bandwidth. Thus, WSNs have inspired researchers to study machine learning strategies. This Paper aims to present, machine learning strategies. In this paper we are addressing the WSN?s design issues with use of machine learning. Up-till now, various solutions are available in wireless sensor networks each of which employs number of numerous machine learning policies.},
      keywords = {Machine Learning, Wireless Sensor Networks, Supervised Machine Learning, Unsupervised Machine Learning},
      month = {May},
  }