| Title | Knowledge acquisition for 3D coordinates of target in wireless sensor networks for smart city application |
|---|---|
| ID_Doc | 41968 |
| Authors | Himanshu; Khanna, R; Kumar, A |
| Title | Knowledge acquisition for 3D coordinates of target in wireless sensor networks for smart city application |
| Year | 2022 |
| Published | Expert Systems, 39, 5 |
| Abstract | In wireless sensor networks, non-linear distance information characterized by uncertainty and randomness creates the deviation and significantly target nodes position is affected. Non-linearity effect among distance and received signal strength (RSS) of target nodes is minimized by modelling edge weights using knowledge base in fuzzy logic system. Further, optimum membership functions bases' of RSS and edge weights using application of butterfly optimization algorithm are evolved to minimize the node position error. Here, a single anchor node is used to estimate target nodes 3D coordinates in anisotropic environment using range free localization methods. The anchor node has been deployed at top layer and over beneath layers target nodes are distributed equally. In This paper, simulation results of the proposed method attain substantial performance improvement in target node 3D position accuracy than the earlier proposed range-free methods. Proposed technique is useful for mapping of several instances like, fire hazards in forests, tracking of workers at different installation sites, solar plant tracking in smart cities and so forth. |
No similar articles found.