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Cooperative Data Aggregation in Wireless Sensor Networks

Mehrabi Koushki, Masoud | 2013

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 44694 (19)
  4. University: Sharif University of Technology
  5. Department: Computer Engineering
  6. Advisor(s): Movaghar, Ali
  7. Abstract:
  8. Minimizing energy consumption is the most important concern in wireless sensor networks (WSNs). Cooperative multiple-input multiple-output (MIMO) and data aggregation are two promising techniques to conserve energy in network nodes by coordinating their transmissions through cooperative communications along with eliminating the inherent redundancy of raw data for transmissions. In this thesis, with the goal of reducing energy consumption, we present a dynamic clustering framework for combined used of cooperative MIMO and data aggregation in cluster-based WSNs. We derive a new and more general energy model for computing energy consumption of cooperative data aggregation in wireless sensor networks. A coalitional game-theoric approach is utilized to model the clustering problem as a TU coalition formation game with the characteristic function based on the energy consumption. Based on the presented game model, we derive a coalition formation algorithm which enables suitable coalitions to be formed. Our extensive simulations show the superiority of our clustering approach compared to the best, to our knowledge, existing alternatives and how it outperforms data aggregation and cooperative MIMO, separately
  9. Keywords:
  10. Wireless Sensor Network ; Cooperative Game Theory ; Data Aggregation ; Cooperative Data Aggregation ; Cooperative Multiple Input Multiple Output (MIMO)System

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