Providing an Adaptive Routing along with a Hybrid Selection Strategy to Increase Efficiency in NoC‐Based Neuromorphic Systems

Trik, Mohammad; Mozaffari, Saeed; Bidgoli, Amir Massoud

doi:10.1155/2021/8338903

Cited by 47 publications

(19 citation statements)

References 47 publications

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“…Another method for solving the problem defined in ( 7) is to use the classical difference of the convex (DC) functions programming method described in the study by Kim and Giannakis [32,36] and Al-Shatri and Weber [33]. e problem defined in ( 7) is due to the interference of a nonconvex problem.…”

Section: Kg Precoder Algorithmmentioning

confidence: 99%

A Novel Design of Hybrid Precoder in Multicell, Multiuser Heterogeneous Network

Pouryeganeh

Fard

Tavakoli

2022

International Journal of Antennas and Propagation

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In this paper, the precoders capable of maximizing the weighted sum rate (WSR) for multicell scenarios under power budget constraint conditions per cell were considered based on the MIMO system performance. This rate is strongly affected by intracellular interference, so we recommend using coordinated beam forming (CBF). If the number of user equipment provided per cell is small enough to the number of transmit antennas, simple linear beamformers, such as matched filter (MF), achieve higher performance rates. In general cases, two algorithms meet the best performance in terms of the total achievable rate; these are KG (Kim Giannakis) and WSMSE (Weighted Sum Minimum Squared Error) algorithms. In the KG method, the objective function of the sum rate is suggested to be divided into two functions, one function for the desired user rate and the other for the sum rate of the remaining users. In the WSMSE algorithm, maximizing the sum rate is solved by redefining it as the problem of minimizing the MSE (Mean Square Error) function. These functions are convex and nonconvex functions, respectively. In the proposed method, the WSMSEs were modified to reduce the complexity and calculations to provide optimal performance in beamforming.

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Section: Kg Precoder Algorithmmentioning

confidence: 99%

A Novel Design of Hybrid Precoder in Multicell, Multiuser Heterogeneous Network

Pouryeganeh

Fard

Tavakoli

2022

International Journal of Antennas and Propagation

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“…If this number is smaller than a determined threshold, it is selected as the CH in that round. Rather than employing wire or communication routes, packet routing techniques are used in this infrastructure [25,26]. Because there are multiple potential paths to move from one node to another in these networks, an algorithm to find the best route to the target should be developed.…”

Section: Clusteringmentioning

confidence: 99%

Improve Performances of Wireless Sensor Networks for Data Transfer Based on Fuzzy Clustering and Huffman Compression

et al. 2022

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In today’s world, the main challenge is to save use energy optimally. The IoT devices generate a large amount of data for wide applications. Considering the application perspective in the IoT market, in one instance of the IoT technology, that is a wireless sensor network, factors like energy, storage capacity, computation power, and limitations of communication bandwidth resources are the reason for using data fusion. Data fusion and aggregation in wireless sensor networks (WSNs) such that minimum energy is consumed are an essential issue. In most clustering models, data aggregation is carried out by the cluster-head (CH). In the proposed algorithm, data aggregation in the cluster-head is carried out using the lossless cascode Huffman compression algorithm. Due to the correlation among data of nodes, the data sensed by each node is compared with the data of the cluster-head node; after removing redundancy, the coded data is transmitted to the main node. The CH node is selected by an algorithm based on fuzzy logic according to the residual energy of the node and the distance of the node from the sink node. Various fuzzy type-I systems of Mamdani and Takagi-Sugeno and type-II systems are used. In this paper, the CH selection algorithms are evaluated using three scenarios in terms of the number of live nodes, received packets and CHs, proper distribution rate, and other parameters of the LEACH protocol, network lifetime, and network energy. In the following, to demonstrate the performance of this new algorithm, simulations are performed in MATLAB based on the proposed method. The results show that the proposed compression algorithm in environments with high data correlation improves the compression rate by 8% compared to the conventional Huffman compression, while in environments with low data correlation, these two algorithms perform almost the same. This compression helps reduce the energy consumption of the network.

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“…By using solid brass metallic particles as catalysts for dehydrogenation of 2-butyl alcohol, in addition to removing this possible variable, it will be possible to directly calculate the involved area. As the area involved in the reaction can be calculated, the relationship between the spatial rate and conversion percentage (dx A ) for the initial part of the reactor with an area of dS can be expressed by [26,28]:…”

Section: Effective Parameters Of the Reactionmentioning

confidence: 99%

An Approach for Modeling, Simulation, and Optimization of Catalytic Production of Methyl Ethyl Ketone

Parhizi

Nayebi

Mohammadzadeh

et al. 2022

Journal of Chemistry

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The current exploration manifests the progress of a one-dimensional reactor for the production of methyl ethyl ketone (MEK) as a commercial-industrial solvent with a relatively rapid evaporation rate and high solvation ability. MEK has been extensively utilized in colorings, printing, artificial leather, and base oils. One of the methods for the production of MEK is catalytic dehydrogenation of 2-butyl alcohol in the temperature range of 650–750 K utilizing spherical ZnO catalyst. Considering the high cost of fossil fuels to achieve optimal energy consumption, thermal coupling with the Fischer–Tropsch reaction was employed. Eventually, an evolutionary genetic algorithm was adopted to optimize the reactor to maximize MEK production. MATLAB software was utilized for the modeling and optimization. The modeling results were verified by industrial data. Moreover, they indicated a 37 and 55.4% increase in the production rate of thermal coupling and optimal thermal coupling reactors, respectively.

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Providing an Adaptive Routing along with a Hybrid Selection Strategy to Increase Efficiency in NoC‐Based Neuromorphic Systems

Cited by 47 publications

References 47 publications

A Novel Design of Hybrid Precoder in Multicell, Multiuser Heterogeneous Network

A Novel Design of Hybrid Precoder in Multicell, Multiuser Heterogeneous Network

Improve Performances of Wireless Sensor Networks for Data Transfer Based on Fuzzy Clustering and Huffman Compression

An Approach for Modeling, Simulation, and Optimization of Catalytic Production of Methyl Ethyl Ketone

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