Sentence examples for grid propagation from inspiring English sources
Overall, the main objective of this paper is to help network designers quantifying the impact of the smart grid propagation environment and sensor radio characteristics on low power wireless link reliability in harsh smart grid environments.
To this end, the analysis of wireless link reliability and channel characterizations can help network designers to foresee the performance of the deployed WSN for specific smart grid propagation environments, and guide the network engineers to make design decisions for the channel modulation, encoding schemes, output power, and frequency band.
Specifically, the proposed analysis aims to evaluate the impact of different sensor radio parameters, such as modulation, encoding, transmission power, packet size, as well as the channel propagation characteristics of different smart grid propagation environments on the performance of the deployed sensor network in smart grid.
However, harsh smart grid environment propagation characteristics cause great challenges in the reliability of WSN communications in smart grid applications.
In the IWPP, data elements in the wavefront propagate waves to their neighboring elements on a grid if a propagation condition is satisfied.
Table 1 Simulation parameters Parameter Name Value Traffic types CBR, VBR Packet size (CBR) 1,250 bytes (payload) Packet interval (CBR) 33 ms Routing protocol Fixed routing protocol Simulation area 50 × 50 km flat-grid area Radio propagation model Two-ray ground reflection model Bandwidth 11 Mbps Antenna type Grid parabolic antenna Antenna gain 24 dBi Distance per hop 9 km Number of Nodes (Max).
In the study of the Internet and World Wide Web [1, 7] and more generally complex systems such as airline routes, electric power grids, and disease propagation [8], the diameter of a system, which is the average length of the shortest paths between any two nodes in the system, was analyzed when nodes were removed according to the number of links they have; nodes with more links were removed first.
The possibility for wave energy to tunnel through a narrow region of the grid too coarse for propagation is noted.
This method is particularly useful when modelling wildfire propagation, where grid resolution is larger than some solid objects.
Simulations of one-dimensional flames have been used to verify the coupling of the tabulated chemistry and the LES solver where important features like the grid dependence of flame propagation are carefully addressed.
