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Energy Efficient Policies for Random Access Wireless body Area Networks

Valizadeh Gurttapa, Mehrdad | 2014

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 46128 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Nasiri Kenari, Masoumeh; Ashtiani, Farid
  7. Abstract:
  8. Wireless Body Area Networks(WBAN) consist of some sensor nodes placed in or inside the body and reportmedical data to a central node. The most important application of WBANs will be in medicine for monitoring of patients. In this applicationthe battery not only occupies a significant volume in the node but also itcan’t be changed easily,specially in implanted nodes case. On the other handas WBAN is used to report vital information, it should be reliable. Hence, the most important issues in WBAN design are both energy constraint and reliability requirement. Most of works in the literature, utilize Time Division Multiple Access (TDMA) with a central node to dynamically control the transmission of nodes. Considering the special features of WBANs(heterogeneous nodes, random arrival of packets, low data rate and etc.), random access techniques are more suitable than TDMA-based techniques.The centralcontrol of the nodes results in a decision problem with huge computational complexity. Considering the special features of WBANs, this thesis utilizes random access technique and proposes methods for intelligent consumption of energy in accordance with IEEE 802.15.6 standard. In the proposed methods the design problem is modeled as a well-defined Markov Decision Process (MDP) which gives the best optimal decision policy. Firstlya central decisionpolicy in which a central node decides the optimal actions of all nodes, is investigated and it is shown that the resulting computational complexity is not tolerable in WBANs. Alternatively, using the random access technique properties, a local decision approach is presented in which nodes decide the best action according to their own local states without concerning other nodes states and actions. This approach not only reduces the complexity in order to be applicable in WBANs but also yields in energy efficiency in order of central decision technique
  9. Keywords:
  10. Random Access ; Energy Consumption Optimization ; Reliability ; Wireless Body Area Network ; Markov Decision Making ; Institute Electrical and Electronic Engineers (IEEE)802.15.6 Standard

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