Search Results - (( mobile station model algorithm ) OR ( based optimization based algorithm ))*

Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decisio... by Daba, Layth Muwafaq Abdulhussein

“…Comparing this developed algorithm with other algorithms shows its superiority in multi-objective optimization (MOO) evaluation metrics. …”
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Prolonging lifetime of wireless sensor networks with mobile base station using particle swarm optimization by Nurul Adilah, Abdul Latiff, Nurul Mu’azzah, Abdul Latiff, Dr., R. Badlishah, Ahmad, Prof. Madya Dr.

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Wireless Coverage for Mobile Users in Dynamic Environments Using UAV by Sawalmeh A.H., Othman N.S., Shakhatreh H., Khreishah A.

Energy efficiency mechanism using mobile-based fermat's spiral in wireless sensor networks by Mantoro, Teddy, Shaukat Ali, Haroon, Ayu, Media Anugerah, Usino, Wendi

“…Both ways will try to reduce the famous bottleneck problem that cause wireless sensor nodes energy nearest to base station depleted very quickly. We evaluated the performance of wireless sensor network using minimum spanning tree algorithm specifically Prim’s Algorithm in order to know the bottleneck effect on wireless sensor network and propose a better solution performance based on Fermat Spiral model. …”
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Artificial Bee Colony for Minimizing the Energy Consumption in Mobile Ad Hoc Network by Tareq, M., Abed, S.A., Sundararajan, E.A.

“…This type of network consists of sets of mobile nodes that do not require a fixed infrastructure such as an access point or base station. …”
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Data Encryption-Enabled Cloud Cost Optimization and Energy Efficiency-Based Border Security Model by Alomari M.F., Mahmoud M.A., Yusoff Y.B., Gharaei N., Abdalla R.A., Gunasekaran S.S.

Efficient 3D placement of a UAV using particle swarm optimization by Shakhatreh H., Khreishah A., Alsarhan A., Khalil I., Sawalmeh A., Othman N.S.

Channel Modeling and Direction-of-Arrival Estimation in Mobile Multiple-Antenna Communication Systems by Ravari, Arastoo Rostami

“…This thesis treats some modeling and estimation problems in mobile communication systems that employ multiple antennas, primarily at the base stations. …”
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Hybrid indoor positioning utilizing multipath- assisted fingerprint and geometric estimation for single base station systems by Manap, Zahariah

“…The proposed method leverages room geometry and takes advantage of the multipath signal propagation to construct multiple virtual base station system model. This is done based on the concept of mirror image to determine potential virtual base stations (VBSs) with respect to the reflection surfaces where the multipath rays bounce off before arriving at the MS. …”
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Geometric-RANSAC position estimation method for enhanced indoor positioning using multipath signals for single base station systems by Manap, Zahariah, Awang Md Isa, Azmi, Darsono, Abd Majid, Zainuddin, Suraya, Mohd Sultan, Juwita, Attiah, Mothana Lafta

“…In the second phase, the RANSAC algorithm with a centroid model is employed to optimize the final MS position. …”
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Distributed learning based energy-efficient operations in small cell networks by Mughees, Amna

“…Simulation results demonstrate improved performance in power consumption, load, sum rate, utility, learning rate, convergence, and energy efficiency for small base stations (SBSs) and user equipment (UEs) compared to four benchmarked algorithms, including WMMSE, game theory, Q-learning, and DRL. …”
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A smart spectrum access technique for dynamic multi-hop routing in cognitive radio-based disaster response networks by Khaled F. I, Alaqad

“…Further, the deployment of Mobile Cognitive Base Stations (McBS) using the Dynamic Rule-Based Movement (DRUM) algorithm facilitates the effective transmission of data with low latency. …”
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Spatio-Temporal processing for Optimum Uplink-Downlink WCDMA Systems by Ahmed Jad Elrab, Ahmed Mohammed

“…Simulation shows that the best perfom1ance can be achieved when all the mobiles with same Angle-of-Arrival (AOA) and different distance from base station are formed in one beam. …”
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A Fuzzy-based mobility prediction in the IEEE 802.16e by Al-khateeb, Mohammed K., Hassan Abdalla Hashim, Aisha

“…In this paper, we propose a mobility prediction method based on fuzzy logic control and an algorithm similar to the fuzzy c- mean partitioning to predict the movement patterns and handover times by measuring mobile users’ velocity and monitoring the received signal strength of the serving base stations and target base stations simultaneously. …”
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Light weight deep learning algorithm for voice call quality of services (Qos) in cellular communication by Ramalingam, Mritha, Sultanuddin, S. J., Nithya, N., Raj, T. F. Michael, Kumar, T. Rajesh, Prasad, S. J. Suji, Al-Ammar, Essam A., Siddique, M. H., Udayakumar, Sridhar

“…The phone sends its unique identification code to the station. The telephone and station maintain a constant radio connection and exchange packets from time to time. …”
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Machine learning modeling for radiofrequency electromagnetic fields (RF-EMF) signals from mmWave 5G signals by Al-Jumaily, Abdulmajeed, Sali, Aduwati, Riyadh, Mohammed, Wali, Sangin Qahtan, Li, Lu, Osman, Anwar Faizd

“…This study proposes two prediction models. The first model predicts the signal beam RF-EMF, while the second predicts the base station RF-EMF. …”
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Enhanced algorithm for energy-saving mechanism and frame response time reduction in IEEE 802.16e WiMAX by Baker, Alaa M.

“…The relationship between the energy consumption and the delay is studied to ensure best performance for mobile devices. This relationship has been analyzed by using a mathematical model and a real time scalable model. …”
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Opposition-based Whale Optimization Algorithm by Alamri, Hammoudeh S., Alsariera, Yazan A., Kamal Z., Zamli

“…In order to improve solution accuracy and reliability, this paper proposes a new algorithm based on WOA. The new algorithm called Opposition-based Whale Optimization (OWOA). …”
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Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems by Din, Fakhrud, Khalid, Shah, Fayaz, Muhammad, Gwak, Jeonghwan, Kamal Z., Zamli, Mashwani, Wali Khan

“…To overcome these drawbacks and to achieve an appropriate percentage of exploitation and exploration, this study presents a new modified teaching learning-based optimization algorithm called the fuzzy adaptive teaching learning-based optimization algorithm. …”
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Rule-Based Multi-State Gravitational Search Algorithm for Discrete Optimization Problem by Ismail, Ibrahim, Zuwairie, Ibrahim, Zulkifli, Md. Yusof

“…In this study, rule-based multi-state gravitational search algorithm (RBMSGSA) algorithm is proposed to solve discrete combinatorial optimization problems. …”
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