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- W3098540968 abstract "The manufacturing process has evolved as the industry evolved from 1.0 to 4.0 with the use of many tools for automation. It helps to improve the quality of products, reduce wastage, reduce change over time, and so on. Industry 4.0 is mainly based on the automation of the processes using Internet of things, as IoT makes use of sensors and actuators to monitor, control, and analyze the manufacturing processes. The sensors deployed in the manufacturing processes form clusters for communication between them. The cluster formation is a process which consumes a large amount of energy. This usage of energy may affect the life of the network. These sensors are an important part of the manufacturing process, and the energy required for cluster formation needs to be minimized. This will extend the network’s life. In this work, we propose a modified honeybee mating optimization (MHBMO) technique to minimize the energy consumed during clustering. The sensors deployed in the manufacturing processes use wired or wireless technology for communication. These sensor nodes form a network, which is called a wireless sensor network." @default.
- W3098540968 created "2020-11-23" @default.
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- W3098540968 date "2020-12-08" @default.
- W3098540968 modified "2023-09-25" @default.
- W3098540968 title "Energy-Efficient Cluster Head Selection for Manufacturing Processes Using Modified Honeybee Mating Optimization in Wireless Sensor Networks" @default.
- W3098540968 cites W2239060899 @default.
- W3098540968 doi "https://doi.org/10.1201/9781003081166-4" @default.
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