Search Results - ((node OR model) OR code) placement

Electricity distribution network for low and medium voltages based on evolutionary approach optimization by Hasan, Ihsan Jabbar

“…The PSO method has been used to solve the DG placement and sizing on the IEEE 34 and 123 nodes test systems, respectively. …”
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Virtual Force Algorithm and Cuckoo Search algorithm for node placement technique in wireless sensor network by Ahmad, Puteri Azwa, Mahmuddin, Massudi, Omar, Mohd Hasbullah

“…Wireless Sensor Network (WSN) has become one of the current technologies in the world of information technology.Coverage and connectivity are the main requirement that reflects the performance and quality of services in WSN applications.In WSN applications with a large scale area, the sensor nodes are deployed randomly in a noninvasive way.The deployment process will cause some issues such as coverage hole and overlapping that reflect to the performance of coverage area and connectivity.Node placement model is constructed to find the optimal node placement.Virtual Force Algorithm (VFA) and Cuckoo Search (CS) algorithm approach for node placement technique is analyzed to find the optimal node placement in order to improve the network coverage and connectivity with a minimum coverage hole and overlapping area.…”
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Losses Reduction and Voltage Improvement Using Optimum Capacitor Allocation by PSO in Power Distribution Networks by Hasan, Ihsan Jabbar, Gan, Chin Kim, Shamshiri, Meysam, Ismadi , Bugis, Ab Ghani, Mohd Ruddin

“…To validate the functionality of the proposed method, the IEEE 13 node and IEEE 123 node test systems are implemented. …”
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Node placement optimization using extended virtual force and cuckoo search algorithm in wireless sensor network by Puteri Azwa, Ahmad

“…This random deployment causes issues such as coverage hole, overlapping and connectivity failure that contributes to the performance of coverage and connectivity of WSN. Therefore, node placement model is develop to find the optimal node placement in order to maintain the coverage and guaranteed the connectivity in random deployment. …”
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Sensor node placement based on lexicographic minimax by Abidin H.Z., Din N.Md.

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Sensor node placement based on minimax for effective surveillance by Abidin H.Z., Din N.M.

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Provisioning WSN coverage via minimax based sensor node placement scheme by Zainol Abidin H., Md Din N.

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WSN sensor node placement approach using Territorial Predator Scent Marking Algorithm (TPSMA) by Abidin H.Z., Din N.M.

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Node placement strategy in wireless sensor network by Ahmad, Puteri Azwa, Mahmuddin, Massudi, Omar, Mohd Hasbullah

“…The performance and quality of services in wireless sensor networks (WSNs) depend on coverage and connectivity.Node placement is a fundamental issue closely related to the coverage and connectivity in sensor networks. …”
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Provisioning an energy efficient with maximum coverage WSN through biological inspired sensor node placement by Abidin H.Z., Din N.M.

“…Algorithms; Bioinformatics; Energy efficiency; Energy utilization; Genetic algorithms; Optimization; Wireless sensor networks; biological inspired; coverage; Marking algorithm; Sensor node placement; Target monitoring; uniformity; WSN; Sensor nodes…”

Deterministic static sensor node placement in wireless sensor network based on territorial predator scent marking behavior by Abidin H.Z., Din N.M., Radzi N.A.M.

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Network-aware Gaussian mixture models for multi-objective SD-WAN controller placement by Abdulghani, Abdulrahman M., Abdullah, Azizol, Rahiman, Amir Rizaan, Abdul Hamid, Nor Asilah Wati, Akram, Bilal Omar

“…This paper introduces NA-GMM (Network-Aware Gaussian Mixture Model), a novel multi-objective optimization framework addressing key limitations in current controller placement approaches. …”
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Study of optimal EG placement in radial distribution system using real coded genetic algorithm by M. H., Sulaiman, Omar, Aliman

“…Several cases of EG models placements are studied in order to minimize the total power losses and to improve voltage profiles of the system. …”
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A review on sensor node placement techniques in wireless sensor networks by Abidin H.Z., Din N.M., Radzi N.A.M., Rizman Z.I.

“…Sensor node placement schemes are needed to accommodate the balance of coverage and energy consumption since closer sensor nodes not only reduces the energy consumption but will result in the network coverage becoming smaller. …”

A wireless interference-aware internet-of-things gateway placement framework with genetic algorithm approach by Kong, Zan Wai

“…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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Energy efficiency scheme for relay node placement in heterogeneous networks by Anwar Apandi, Nur Ilyana, As’ari, Aziemah Athirah, Muhammad, Nor Aishah, A. Rashid, Rozeha, Sarijari, Mohd Adib, Salleh, Jamaliah

“…Relay node (RN) placement expands the network coverage and capacity and significantly reduces the energy consumption of heterogeneous networks (HetNets). …”
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Flood Control Distance Vector Hop (FCDV-Hop) localization in wireless sensor networks by Zazali, Azyyati Adiah, Subramaniam, Shamala, Ahmad Zukarnain, Zuriati

“…The placement of nodes is limited inside the region of the anchor nodes. …”
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Multi-objective biological mimicry optimization algorithm for WSN sensor node placement by Abidin H.Z., Din N.M., Radzi N.A.M.

“…Algorithms; Bioinformatics; Energy utilization; Integer programming; Multiobjective optimization; Optimization; Wireless sensor networks; biological inspired; connectivity; coverage; energy; Multi objective; Sensor node placement; WSN; Sensor nodes…”

On the Application of heuristic Method and Saddle Node Bifurcation for Optimal Placement of FACTS Devices in Power System by Mariun, Norman, Ab Kadir, Mohd Zainal Abidin, Karami, Mehdi

“…The achieved results clearly proved that the proposed method is an effective approach for the placement of FACTS in power system.…”
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Multi-objective Optimization (MOO) approach for sensor node placement in WSN by Abidin H.Z., Din N.M., Jalil Y.E.

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