Journal of Intelligent Systems and Internet of Things JISIoT 2690-6791 2769-786X 10.54216/JISIoT https://www.americaspg.com/journals/show/736 2019 2019 Solving the Problem of Target k-Coverage in WSNs Using Fuzzy Clustering Algorithm Department of Computer Engineering, IslamShahhr Branch, Islamic Azad University, IslamShahr, Iran Mohammad Hossein .. Department of Computer Engineering, Adiban Institute of Higher Education, Garmsar, Semnan, Iran Zohre .. Department of Computer Engineering, Science and Research Branch, Islamic Azad University,Tehran, Iran Mohammad Reza Esfandyari The purpose of the present research was to introduce an algorithm to solve the coverage problem in wireless multimedia networks that can be used to optimize energy consumption and network lifetime. In this regard, the problem of target k-coverage in WSNs was solved by dividing the environment into the proportional area and random selection. This can be done using a fuzzy clustering algorithm. It is worth noting that the results of the proposed algorithm were compared with previous methods such as genetic and annealing algorithm. The simulation results and comparison with other algorithms show a 27% superiority of the proposed algorithm. It is hoped that this method can be used in networks with larger dimensions in the future 2021 2021 55 76 10.54216/JISIoT.020203 https://www.americaspg.com/articleinfo/18/show/736