Search Results - (( basic optimization sensor algorithm ) OR ( using application path 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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Conference or Workshop Item -
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Modeling and control of a Pico-satellite attitude using Fuzzy Logic Controller
Published 2010“…The contribution of this work is to optimize the base of Fuzzy membership function of the APFLC by using GA technique. …”
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Thesis -
3
On Clustering Algorithm Of Coverage Area Problems In Wireless Sensor Networks
Published 2024“…For the proliferation of wireless sensor network, in different environments, an escalation in the lifetime of wireless sensors is mandatory, because among the basic issues concerning WSN is a successful effort to document the coverage of the number of target fields, while maximizing the lifetime of this network. …”
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Development an accurate and stable range-free localization scheme for anisotropic wireless sensor networks
Published 2022“…This study developed an optimized variation of the DV-Hop localization algorithm for anisotropic wireless sensor networks. …”
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Thesis -
5
Efficient transmission based on genetic evolutionary algorithm
Published 2022“…In this paper, an energy-saving mechanism based on genetic algorithm in wireless sensor network (WSN) is proposed. …”
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Proceedings -
6
Even-odd scheduling based energy efficient routing for wireless sensor network (WSN) / Muhammad Zafar Iqbal Khan
Published 2022“…Wireless Sensor Network (WSN) is basically composed of battery powered devices which have an obvious limitation of energy on sensors nodes, so it is the foremost motivation to develop a method to save energy of wireless sensor networks where networks are kept alive for a long time. …”
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Thesis -
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A Continuous Overlay Path Probing Algorithm For Overlay Networks
Published 2013“…The primary idea is to perform active measurements using the applications’ packets instead of using extra probe packets. …”
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Comparison of path planning in simulated robot
Published 2020“…This is because each path planning algorithm has its own applicable domain, performance, advantages and disadvantages in various situations. …”
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Final Year Project / Dissertation / Thesis -
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Obstacle Avoidance System in Underwater Glider
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Final Year Project -
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Path planning for unmanned aerial vehicles using visibility line-based methods
Published 2011“…Simulation results have proven that the proposed 2D path planning algorithms are much faster in comparison with the VG and hence are suitable for real time path planning applications. …”
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Thesis -
14
Finding multi-constrained path using genetic algorithm
Published 2023“…This paper presents a solution to the MCP problem using genetic algorithm (GA). Through simulation, this algorithm has been shown to give a high probability of finding a feasible path if such paths exist. �2007 IEEE.…”
Conference paper -
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Simulation of shortest path using a-star algorithm / Nurul Hani Nortaja
Published 2004“…The steps to calculate a shortest path using A • algorithm is shown by using appropriate examples and related figures. …”
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Thesis -
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An experiment on the performance of shortest path algorithm
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MULTIPLE DRONES PATH OPTIMIZATION ALGORITHM FOR 3D SPACE PERFORMANCE USING CENTRALIZED VISUALIZATION PLATFORM
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Final Year Project Report / IMRAD -
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Nlfxlms and thf-nlfxlms algorithms for wiener-hammerstein nonlinear active noise control
Published 2016“…However, this assumption may lead to inaccurate secondary path model. In this work, the modelling of acoustic path using FIR filters is incorporated for both algorithms for Wiener-Hammerstein structure. …”
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Thesis -
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Optimization of drilling path using the bees algorithm
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Article -
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Dynamic path planning algorithm in mobile robot navigation
Published 2011“…The results obtained from both simulation and actual application confirmed the flexibility and robustness of the controllers designed in path planning.…”
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