Title | Hybrid Data Fast Distribution Algorithm for Wireless Sensor Networks in Visual Internet of Things |
Publication Type | Conference Paper |
Year of Publication | 2021 |
Authors | Wang, Chengyan, Li, Yuling, Zhang, Yong |
Conference Name | 2021 International Conference on Big Data Analysis and Computer Science (BDACS) |
Keywords | data deletion, delays, Distributed databases, fast distribution algorithm, Heuristic algorithms, Linear programming, Logic gates, mixed data, Network, privacy, pubcrawl, Scalability, visual internet of things, visualization, wireless sensor, Wireless sensor networks |
Abstract | With the maturity of Internet of things technology, massive data transmission has become the focus of research. In order to solve the problem of low speed of traditional hybrid data fast distribution algorithm for wireless sensor networks, a hybrid data fast distribution algorithm for wireless sensor networks based on visual Internet of things is designed. The logic structure of mixed data input gate in wireless sensor network is designed through the visual Internet of things. The objective function of fast distribution of mixed data in wireless sensor network is proposed. The number of copies of data to be distributed is dynamically calculated and the message deletion strategy is determined. Then the distribution parameters are calibrated, and the fitness ranking is performed according to the distribution quantity to complete the algorithm design. The experimental results show that the distribution rate of the designed algorithm is significantly higher than that of the control group, which can solve the problem of low speed of traditional data fast distribution algorithm. |
DOI | 10.1109/BDACS53596.2021.00044 |
Citation Key | wang_hybrid_2021 |