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What is TAKAGI–SUGENO Model

Chapter 13
Handbook of Research on Advanced Trends in Microwave and Communication Engineering
An example of fuzzy model. The consequent part is a crisp linear function of the input variables. The antecedent part partitions input space into fuzzy regions. The advantages of TS model are no need for defuzzification method and fuzzy antecedent participate in the calculation of the inferred output value.
Published in Chapter:
Adjust Fuzzy Model Parameters for Head Election in Wireless Sensor Network Protocols
Walaa Abd el Aal Afifi (ISSR-Cairo University, Egypt) and Hesham Ahmed Hefny (ISSR-Cairo University, Egypt)
Copyright: © 2017 |Pages: 23
DOI: 10.4018/978-1-5225-0773-4.ch013
Abstract
The clustering routing protocols attract many research papers that result from their well topology control, less demand resources, and less energy dissipation. The cluster routing protocols consist of single hop communication and multi hop communication. Single hop is applied between sensor node and its related cluster head. Multi hop is applied between cluster heads to base station. The previous two communication modes depend on the cluster head election. Appropriate cluster-head election can drastically reduce the energy consumption and enhance the lifetime of the network. The fuzzy models are used frequently for cluster head election. The fuzzy models can be built either expert's knowledge or numerical data. The authors propose fuzzy model using adaptive Takagi-Sugeno for wireless sensor network protocol (FATSN). The FATSN protocol is implemented by modified merging algorithm of fuzzy clustering with expected value (MCFEV). The FATSN protocol compares with the famous cluster routing protocol LEACH, EEUC, CHEF, and FCM protocols. The results show that FATSN protocol is efficiency
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