Name
Title | ||
|---|---|---|
High-Density Data Transmission And Scheduling Method In Wireless Sensor Networks Based On Wi-Fi |
Abstract | ||
|---|---|---|
In wireless sensor network, the storage amount of information is high, and the transmission and scheduling of control information is reasonable. The node communication model, network structure model, and energy consumption model are constructed. On this basis, the high-density data in wireless sensor network are scheduled to optimize the time for nodes to perform tasks. The nodes in the network are fully scheduled to control the generation time of packets in the network and the generation time of packets in the network. Experimental results show that in different iterations, the proposed method has lower node delay and node energy consumption, with values less than 0.2 and 2, respectively, and the maximum data fusion quality can reach 98, with high fusion benefits, so as to improve the transmission and scheduling efficiency and quality of high-density data in wireless sensor network. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1177/1550147720943414 | INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS |
Keywords | DocType | Volume |
Wireless sensor network, high-density data, transmission and scheduling, energy consumption | Journal | 16 |
Issue | ISSN | Citations |
7 | 1550-1477 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yajun Zhang | 1 | 2 | 0.71 |
| Gang Qiu | 2 | 1 | 1.36 |
| Meng Liu | 3 | 39 | 18.70 |
| Hongjun Wang | 4 | 0 | 0.34 |