Name
Abstract | ||
|---|---|---|
Increasing the energy efficiency of an Internet of Things (IoT) system is a major challenge for its successful implementation. To reduce the computation and storage burden and enhance the efficiency of traditional IoT, an energy-efficient diffusion-based algorithm for state estimation in multiagent networks is proposed in this article. In the proposed algorithm [referred to as the reduced-link dif... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/JIOT.2021.3111593 | IEEE Internet of Things Journal |
Keywords | DocType | Volume |
Kalman filters,Internet of Things,Heuristic algorithms,State estimation,Covariance matrices,Costs,State-space methods | Journal | 9 |
Issue | ISSN | Citations |
8 | 2327-4662 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Azam Khalili | 1 | 126 | 17.98 |
| Vahid Vahidpour | 2 | 0 | 0.34 |
| Amir Rastegarnia | 3 | 0 | 0.34 |
| Wael M. Bazzi | 4 | 0 | 0.34 |
| Saeid Sanei | 5 | 0 | 0.34 |