Nodes scheduling algorithm based on dynamic cluster in wireless sensor network 2022, Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) Multi objects detection and
The DRL approach improves fuzzy routing and reduces the error in estimations based on route information. Here, the convergence ability of the proposed algorithm is improved by considering path-state criteria and network traffic characteristics. Also, the routing reliance on the network topology in the...
The performance of BWM* can be predicted in polynomial time before running the algorithm. View chapter Book series 2022, Advances in Protein Chemistry and Structural BiologySekhar Talluri Review article Large-Scale Vehicle Platooning: Advances and Challenges in Scheduling and Planning Techniques 3.3.2 ...
In this paper an algorithm is presented that allows for dynamic free range route planning for automated guided vehicles (AGVs). This routing algorithm is based on the route choice methodology from a microscopic pedestrian behavioral model. Until now, AGVs use a map of predefined, fixed paths that...
The reason behind that is that MET-MFODSR is based on the minimum hop count route and uses the MET scheduling algorithm to reduce the time taken to complete the packet processing on the node which leads to shorter average delays. Fig. 5 Average end-to-end delay simulation results for BE...
Learning automata are used to suggest a self-accommodating duty scheduling algorithm (ADATSA) [33]. In conjunction through the futile formal of resources and the in succession stage of responsibilities in the present surroundings, the algorithm efficiently leveraged the re-enforcement educating capacity...
[34,53–55,91], which finds a safe route with a minimumcollision probabilityfor a robot. A sequentialBayesian modelhas been employed to approximately estimate the movement patterns of the obstacles. A time-reliant variation of Dijkstra’s algorithm has been formulated to compute safe trajectories ...
We use reinforcement-learning model to depict travelers’ route and departure time choosing behavior under the condition of imperfect information. We design the evolution rule of travelers’ expected arrival time and the algorithm of traffic flow assignment. Compared with the traditional model, the ...
Thereafter, robust dynamic scheduling and planning 10 checks whether existing schedule 20 can be optimized, the specific task can be optimized by changing route or not just the specific task being performed by the transportation means 15, thus readily addressing and substantially circumventing patterns...
HAs that can serve the MN, and the MN will use them according to a priority scheduling determined by a service provider (e.g. use always the first in the list and switch to the second one when the first one is not available, use a round-robin algorithm to select between them, etc....