Search Results - (( based selection path algorithm ) OR ( changes optimization sensor algorithm ))
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A Survey Of Supervised Machine Learning In Wireless Sensor Network: A Power Management Perspective
Published 2013“…This survey paper is focused on the discussion of best optimal path routing algorithms in wireless sensor networks by using supervised machine learning approaches. …”
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A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments
Published 2013“…The motion planning problem poses the question of how a robot can move from an initial to a final position. Sampling-based motion planning is a class of randomized path planning algorithms with proven completeness. …”
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A wireless interference-aware internet-of-things gateway placement framework with genetic algorithm approach
Published 2022“…However, there is no existing gateway placement scheme that considers all the factors of number of gateways, sensor nodes coverage, lateral bound (inter-gateway) connections, redundancy for fault tolerance and dynamic changes of sensor nodes’ location. …”
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Path planning for unmanned aerial vehicles using visibility line-based methods
Published 2011“…In order to ensure that the 3D path planning algorithms are computationally efficient, the proposed 2D path planning algorithms are applied into them. …”
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Weighted Sum-Dijkstra’s Algorithm in Best Path Identification based on Multiple Criteria
Published 2018“…The main objective of this paper was to identify the best path selection based on multiple criteria instead of a single criterion. …”
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Distributive and self-sustainable scheduling algorithm for wireless sensor networks
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Distributive and self-sustainable scheduling algorithm for wireless sensor networks
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Distributive and self-sustainable scheduling algorithm for wireless sensor networks
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Path Selection With Critical Switch-Aware For Software Defined Networking
Published 2021“…However, the traditional path selection algorithms failed to consider the switch role during the path selection process. …”
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AUTOMATIC ROUTE FINDER FOR NEW VISITORS
Published 2006“…This project proposes a new visitor route model that is based on shortest path algorithms for road networks. …”
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Final Year Project -
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Optimal QoS aware multiple paths web service composition using heuristic algorithms and data mining techniques
Published 2014“…The aim is to solve the above-mentioned problems via an optimization mechanism based upon the combination between runtime path prediction method and heuristic algorithms. …”
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15
Laser simulator: a novel search graph-based path planning approach
Published 2018“…In global path planning, the path is generated within a grid map of the roundabout environment to select the path according to the respective road rules. …”
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Optimisation of Environmental Risk Assessment Architecture using Artificial Intelligence Techniques
Published 2024“…By contrast, the results of the safe path selection model were compared with the results obtained using Dijkstra's algorithm and the Floyd-Warshall algorithm. …”
thesis::doctoral thesis -
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Integration of enchanced jump point search (JPS) algorithm with modified bresenham technique for path planning in virtual grid-based environment
Published 2018“…Jump Point Search is one of the path finding algorithm with huge advantage of maintaining zero memory overhead as no preprocessing process involved. …”
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A hybrid multi-objective optimisation for energy efficiency and better coverage in underwater wireless sensor networks / Salmah Fattah
Published 2022“…The results obtained are then analysed to assess the proposed solution’s performance in obtaining each deployment objective’s optimal value. Finally, the proposed algorithm’s effectiveness regarding node coverage, energy consumption, Pareto-optimal value, and algorithm execution time is validated using three Pareto-optimal metrics: including inverted generation distance (IGD), hypervolume, and diversity. …”
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19
A hybrid multi-objective optimisation for energy efficiency and better coverage in underwater wireless sensor networks
Published 2022“…The results obtained are then analysed to assess the proposed solution's performance in obtaining each deployment objective's optimal value. Finally, the proposed algorithm's effectiveness regarding node coverage, energy consumption, Pareto-optimal value, and algorithm execution time is validated using three Pareto-optimal metrics: including inverted generation distance (IGD), hypervolume, and diversity. …”
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