The Optimal Deploy Method of Multi Redundancy FPGA Gateway Design
Changjian Deng1, Yaozhong Zhang2
1Changjian Deng, Associate Professor, School of Automation, Chengdu University of Information Technology, Chengdu, China.
2Yaozhong Zhang, Student, School of Automation, Chengdu University of Information Technology, Chengdu, China.
Manuscript received on 12 February 2025 | First Revised Manuscript received on 17 February 2025 | Second Revised Manuscript received on 25 March 2025 | Manuscript Accepted on 15 April 2025 | Manuscript published on 30 April 2025 | PP: 20-27 | Volume-14 Issue-5, April 2025 | Retrieval Number: 100.1/ijitee.D106614040325 | DOI: 10.35940/ijitee.D1066.14050425
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Prevention of geological disasters is essential in highaltitude or semi high mountain plateaus and hilly areas. To monitor disaster, the manuscript presents a design method of distributed redundancy FPGA (Field Programmable Gate Array) gateway. This gateway can test a series of parameters in order to estimate geological disaster. However, the detection of geological disasters is complex work, for the test fields are located in different monitoring place and every place has a different environment condition. Meanwhile, the same type of monitoring parameters should be monitored more than two places, and the place may be changed, it results in the problem of distributed redundant monitoring. So, there are three kinds of monitoring actors: the active detection one, the auxiliary detection one, and the redundancy one. And these actors can transform one to the other. To obtain the balance between the communication resources and effective detection of geological disasters, the design of distributed redundancy gateway should be dynamic deployed based on the environmental and detection condition change. The article adopts a redundant gateway design using multiple FPGA in hardware, and uses distributed redundant decision-making method in software. It uses a wireless redundancy decision-making optimization method, and gives a design example for ‘the atomic cloud’ application of infrasound monitoring.
Keywords: Redundancy; Optimization; Distributed Gateway; Geological Disasters.
Scope of the Article: Information Technology