| Title |
3-D Deployment Optimization for Heterogeneous Wireless Directional Sensor Networks on Smart City |
| ID_Doc |
41441 |
| Authors |
Cao, B; Zhao, JW; Yang, P; Yang, P; Liu, X; Zhang, Y |
| Title |
3-D Deployment Optimization for Heterogeneous Wireless Directional Sensor Networks on Smart City |
| Year |
2019 |
| Published |
Ieee Transactions On Industrial Informatics, 15, 3 |
| Abstract |
The development of smart cities and the emergence of three-dimensional (3-D) urban terrain data have introduced new requirements and issues to the research on the 3-D deployment of wireless sensor networks. We study the deployment issue of heterogeneous wireless directional sensor networks in 3-D smart cities. Traditionally, studies on the deployment problem of WSNs focus on omnidirectional sensors on a 2-D plane or in full 3-D space. Based on 3-D urban terrain data, we transform the deployment problem into a multiobjective optimization problem, in which objectives of Coverage, Connectivity Quality, and Lifetime, as well as the Connectivity and Reliability constraints, are simultaneously considered. A graph-based 3-D signal propagation model employing the line-of-sight concept is used to calculate the signal path loss. Novel distributed parallel multiobjective evolutionary algorithms (MOEAs) are also proposed. For verification, real-world and artificial urban terrains are utilized. In comparison with other state-of-the-art MOEAs, the novel algorithms could more effectively and more efficiently address the deployment problem in terms of optimization performance and operation time. |
| PDF |
https://researchonline.ljmu.ac.uk/id/eprint/10044/1/TII%20%281%29.pdf
|
