Title :
Adaptive TAKAGI-SUGENO fuzzy model using weighted fuzzy expected value in wireless sensor network
Author :
Afifi, Walaa A. ; Hefny, Hesham A.
Author_Institution :
Inst. of Stat. studies & Oper. researches, Cairo Univ., Cairo, Egypt
Abstract :
Limited energy resources of sensor nodes are the main constraint in wireless sensor networks, many researches applied multi input single output fuzzy models for cluster heads election. These models are less interpretable and built from expert´s knowledge. The adaptive TS fuzzy model sensor node (ATSFMSN) protocol aims to adapt MIMO TAKAGI-SUGENO model for cluster heads and relay nodes election. Adaptive TAKAGI-SUGENO model is done by fuzzy cluster algorithms based on fuzzy expected value. In addition to, fuzzy rule base is reduced by similarity measure and fuzzy cluster algorithm. Similarity measure requires two parameters to estimate overlap degree. The simulation results show the ATSFMSN protocol is more energy efficient routing protocol against LEACH, CHEF, and FCM routing protocol.
Keywords :
MIMO communication; energy conservation; fuzzy set theory; relay networks (telecommunication); routing protocols; telecommunication power management; wireless sensor networks; ATSFMSN protocol; CHEF routing protocol; FCM routing protocol; LEACH routing protocol; MIMO Takagi-Sugeno model; adaptive TS fuzzy model sensor node; adaptive Takagi-Sugeno fuzzy model; cluster heads election; energy efficient routing protocol; energy resources; fuzzy cluster algorithms; fuzzy rule base; multiinput single output fuzzy models; relay node election; sensor nodes; weighted fuzzy expected value; wireless sensor network; Base stations; Clustering algorithms; MIMO; Nominations and elections; Relays; Routing protocols; TSK fuzzy model; WSN; fuzzy clustering;
Conference_Titel :
Hybrid Intelligent Systems (HIS), 2014 14th International Conference on
Print_ISBN :
978-1-4799-7632-4
DOI :
10.1109/HIS.2014.7086203
