Sentence examples for moving target node from inspiring English sources

Different methods are presented to determine and predict the trajectory of the moving target node.

Moreover, the proposed method could also be applied to scenario with a moving target node.

Moreover, this approach requires knowledge of the time history of range estimates and it can only be applied in the case of a moving target node.

Once a moving target falls under the range of a deployed anchor node, three virtual anchor nodes (minimum 4 anchor nodes are required for 3D positions) in surrounding of anchor and respective moving target node are projected by using umbrella projection form to find the 3D position.

For a stationary target node or a certain moment in case of a moving target node, the time delays of a signal that travels from the target node to the reference nodes are obtained by TOA estimation after performing measurements, and hence the distances are acquired.

Let c be the cut point, e be the intersection point of X-axis and the walk trajectories of moving target nodes, and d be the intersection point of Y-axis and the walk trajectories of moving target nodes.

In this paper, novel 3D node localization algorithms using applications of Computational Intelligence (CI) for moving target nodes are attained using single reference node (anchor node) in an anisotropic network.

Recent applications of Computational Intelligence (CI), i.e., Particle Swarm Optimization (PSO), H-Best Particle Swarm Optimization (HPSO), Biogeography Based Optimization (BBO) and Firefly Algorithm (FA) are used respectively to estimate the optimum location of moving target nodes.

In our analysis, we consider a network composed of randomly deployed sensor nodes which sense a moving target and forward the information into a position-aware sensor which acts as a data gathering node.

We consider a moving target, a network composed of 100 unknown nodes and 20 anchors.

The WSN-based indoor moving target localization system contains several ANs and a moving node (MN).