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In wireless sensor networks , sensor nodes is the small size of embedded devices , the use of the limited energy of battery-powered , very limited computing power and communication capabilities . In addition to the need to design energy efficient MAC protocols, routing protocols , and application layer protocol designed to optimize the network topology control mechanism . Control and optimization of the network topology has a very important significance for the performance of the sensor network . Currently, wireless sensor network topology control research can be divided into three categories : node power control , hierarchical topology organization and inspired mechanisms related research has also made a number of important results . But overall , the wireless sensor network topology control is not perfect , most algorithms is still flawed . This paper first introduces a number of important algorithms for topology control technology , and their advantages and disadvantages ; Secondly , introduced and analyzed in detail based on the node location GAF algorithm and its improved algorithm , summed up the advantages and defects of the algorithm , new issues , and lack of algorithms , combined with fuzzy control technology, propose a new cluster head selection mechanism and the corresponding clustering strategy , the algorithm has been improved ; Finally, using MATLAB simulation experiments , experimental design , The experimental results are given . The simulation results show that the clustering algorithm based on fuzzy control to adapt to the requirements of wireless sensor network topology control , has a certain significance to the study of the topology control mechanism .
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