Enhancing Microcomputer Edge Computing for Autonomous IoT Motion Control
نویسندگان
چکیده
Devices microprocessors, microcontrollers, and Field Programmable Gate Arrays (FPGA) play the core rule at IoT edge level it should be right provisioned. For proper controller performance, control algorithms implemented near actuator eliminating delay effects. In domain, this means to implement mentioned algorithm prior data transmitting. The efficient IoT-enabled motion can obtained by considering two main factors; first factor is from design point of view second performance view. Therefore, in article, factors are treated concerning microprocessor importance as a for prototype platform algorithms. A comparison indices both prototypes done using previously distributed schemes newly developed after tuning respective gains an optimal manner. scheme with better behavior selected integration process, ensures computing control, making implementation all computation take place IoT-edge level. As result, dynamic pipeline stages (DPS) based gives most strategies, less power consumption, optimally utilized resources encouraging use microprocessors reconfigurable components
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ژورنال
عنوان ژورنال: International Journal on Recent and Innovation Trends in Computing and Communication
سال: 2023
ISSN: ['2321-8169']
DOI: https://doi.org/10.17762/ijritcc.v11i3.6202