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Design and Optimization of Energy Efficient Wireless Sensor Networks

Shirshekar, Hosna | 2010

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  1. Type of Document: M.Sc. Thesis
  2. Language: English
  3. Document No: 40312 (55)
  4. University: Sharif University of Technology, International Campus, Kish Island
  5. Department: Science and Engineering
  6. Advisor(s): Bagheri Shouraki, Saeeid
  7. Abstract:
  8. Wireless Sensor Network (WSN) is a rapidly growing technology that is used to meet different requirements of a wide range of applications. Energy conservation is one of the main design challenges in WSNs due to limited energy resources. Routing plays a significant role for energy efficient communication in WSNs. Although there are many research studies that utilize energy efficient routing to conserve energy in WSNs, there are a few works that took advantage of machine learning techniques for saving energy through energy efficient routing.The main goal of this thesis is to indicate that machine learning is a functional approach to many problems in WSNs. To fulfill this goal we first evaluate the effect of having supervision information on reduction of energy consumption in WSNs. Once the effectiveness of using supervision data is proven, a machine learning technique, i.e. reinforcement learning based technique, is used along with the supervision information to find the most energy efficient route from source to sink. The results obtained are compared over an approach when no supervision information is used. Our comparison results are highly promising and clearly show that the machine learning techniques can be successfully applied to various difficult problems in WSNs.

  9. Keywords:
  10. Machine Learning ; Routing ; Wireless Sensor Network ; Energy Efficiency

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