An Edge Computing Offload Method Based on NSGA-II for Power Internet of Things
Yue Ma,
Xin Li,
Jianbin Li
Issue:
Volume 9, Issue 1, March 2021
Pages:
1-9
Received:
4 March 2021
Accepted:
15 March 2021
Published:
22 March 2021
Abstract: In the ubiquitous power Internet of things, all kinds of growing power terminal equipment and business applications will generate massive data, which will cause huge pressure to the master station, and high delay and security cannot meet the requirements of new business forms. Edge computing organically integrates computing, storage, and other resources on the edge of the network and responds to the task request of the network edge node timely and effectively according to the principle of nearest service. Due to the limited resources of edge nodes, such as power monitoring camera capability, resources, bandwidth, energy, etc., computing offload is a key problem of edge computing. To solve this problem, this paper proposes a method of edge computing offload based on genetic algorithm. Firstly, in the edge-computing scenario of the power Internet of things, we analyze the computing unloading problem model under the time sequence condition. Then, aiming at the optimal decision-making problem of energy consumption and time delay of terminal equipment, we creatively transform the problem of computational offload into the problem of multi-objective optimization. In the genetic algorithm, we use NSGA-II to achieve the multi-objective optimization of the decision-making. Through conversion, time delay and energy consumption, the optimization can be achieved. Finally, we designed a simulation experiment. The results show that the unloading decision of NSGA-II can reach the best. The results show that the results of NSGA-II can be distributed in a wider range.
Abstract: In the ubiquitous power Internet of things, all kinds of growing power terminal equipment and business applications will generate massive data, which will cause huge pressure to the master station, and high delay and security cannot meet the requirements of new business forms. Edge computing organically integrates computing, storage, and other reso...
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Application of Multi-sensor Data Fusion in Greenhouse
Issue:
Volume 9, Issue 1, March 2021
Pages:
10-15
Received:
7 April 2021
Accepted:
19 April 2021
Published:
23 April 2021
Abstract: With the development of communication, computer and sensor technology, the application of Internet of things technology to agricultural monitoring is the trend of modern agricultural development. Real time and accurate acquisition of farmland environmental information is the basis of precision operation and intelligent management of agriculture, and it is also an important part of agricultural information construction. A farmland environment information monitoring system based on wireless sensor network is designed, crop growth environment parameters are collected by sensor nodes distributed in the field, using CC2530 to build ZigBee data transmission network, the information transmission between ZigBee network, GPRS network is realized by embedded gateway, and the remote monitoring of farmland environmental information is realized. Before data is transmitted, The negligent errors in the measurement data are excluded by Grubbs’ criterion, then the rest of the data are preprocessed based on the arithmetic mean and the batch estimates, lastly the data are fused using adaptive weighted fusion algo-rithm in the condition of minimal mean square error. The results show that the data by hybrid algorithm has perfect accuracy and minimal error. Using this hybrid data processing method, a large number of data can be fused into a data closest to the real situation, and more accurate environmental information can be obtained. The practical results show that, this solution enhances accuracy and reliability of the greenhouse environment detection. This system improves the information level of greenhouse planting, and applys to the management of greenhouse.
Abstract: With the development of communication, computer and sensor technology, the application of Internet of things technology to agricultural monitoring is the trend of modern agricultural development. Real time and accurate acquisition of farmland environmental information is the basis of precision operation and intelligent management of agriculture, an...
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