RETRACTED ARTICLE: Secure storage allocation scheme using fuzzy based heuristic algorithm for cloud

Sivaram, M.; Kaliappan, M.; Shobana, S.; Prakash, M.; Porkodi, V.; Vijayalakshmi, K.; Vimal, S.; Suresh, A.

doi:10.1007/s12652-020-02082-z

Cited by 11 publications

(6 citation statements)

References 27 publications

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“…ere are 9 cases of medium-large scale experiments in the paper. We set the small scale experiment as Case 1. e numerical results of medium-large scale numerical examples that are solved by CPLEX, GUROBI, Benders decomposition, ADMM, ACA, and hybrid algorithm are recorded in Tables3 and 4. e total physical nodes of the vehicle assignment and distribution network in the nine medium-large scale cases are 20,25,30,35,35,40,45,50, and 60, respectively. erefore, the total variable size of the vehicle assignment and distribution network in the nine medium-large scale cases are 1175, 2075, 3225, 4600, 6450, 9200, 12500, 16300, and 30825, respectively.…”

Section: Medium-large Scale Experiments: Further Comparisonmentioning

confidence: 99%

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A Hybrid Algorithm of Ant Colony and Benders Decomposition for Large-Scale Mixed Integer Linear Programming

Shan

Qiu

2022

Computational Intelligence and Neuroscience

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The mixed integer linear programming (MILP) has been widely applied in many fields such as supply chain management and robot control, while how to develop a more efficient algorithm to solve large-scale MILP is still in discussion. This study addresses a hybrid algorithm of the ant colony and Benders decomposition to improve the efficiency. We firstly introduce the design of our algorithm, in which the Benders algorithm decomposes the MILP into a master problem and a slack problem, the ant colony algorithm generates initial solutions for the master problem, and heuristic rules obtain feasible solutions for the slack problem. Then, the computational experiments are carried out to verify efficiency, with a benchmark test and some medium-large scale examples. Compared with other algorithms like CPLEX, GUROBI, and traditional ACA, our algorithm shows a better performance with a 0.3%–4.0% optimality gap, as well as a significant decrease of 54.3% and 33.6% on average in the CPU time and iterations, respectively. Our contribution is to provide a low-workload, time-saving, and high-accuracy hybrid algorithm to solve MILP problems with a large amount of variables, which can be widely used in more commercial solvers and promote the utilization of the artificial intelligence.

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Section: Medium-large Scale Experiments: Further Comparisonmentioning

confidence: 99%

“…e evolutionary algorithm solves a MILP in accordance with evolutionary rules [19][20][21][22][23][24][25]. However, both decomposition and evolutionary algorithm have their unique shortcomings in the calculation.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Algorithm of Ant Colony and Benders Decomposition for Large-Scale Mixed Integer Linear Programming

Shan

Qiu

2022

Computational Intelligence and Neuroscience

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“…The SFLC (Security aware Fuzzy Logic Connection) methodology is used to safeguard the network. The SFLC model is validated in the MANET, which uses a random deployment in the 100 * 100 m region [21]. An effective safe route analysis algorithm for real-time is provided.…”

Section: Literature Surveymentioning

confidence: 99%

Efficient Load Balancing with MANET Propagation of Least Common Multiple Routing and Fuzzy Logic

Gayatri¹,

Kumaran²

2022

Computers, Materials &Amp; Continua

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Mobile Ad Hoc Network (MANET) is a group of node that would interrelate among each other through one multi-hop wireless link, wherein the nodes were able to move in response to sudden modifications. The objective of MANET routing protocol is to quantify the route and compute the best path, but there exists a major decrease in energy efficiency, difficulty in hop selection, cost estimation, and efficient load-balancing. In this paper, a novel least common multipath-based routing has been proposed. Multipath routing is used to find a multipath route from source and destination. Load balancing is of primary importance in the mobile ad-hoc networks, due to limited bandwidth among the nodes and the initiator of the load routing discovery phase in the multipath routing protocol. Fuzzy logic for load balancing multipath routing in MANETs is proposed, which ensures the data packets are sent through a path with the variance of binary sets to predict the original transformation of the data to be received in the system. The main objective of the proposed system is to reduce the routing time of data packets and avoid the traffic based on multipath source and destination. The experimental results have to verify 96.7% efficiency in balancing the load.

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“…The miss detection and false alarm probability is mitigated with the best selection of SU, and the coalition game theory approach works on with the [17] [11]. The channel and increased noise rate is also a parameter for the implementation strategy with increased energy conservation [34]. Figure 2 showcase the eavesdropping scenario with the transmission matrix for data transmission in a different scenario with the Eavesdropping scenario, where the source and destination communication happens with PU and SUs.…”

Section: Figurementioning

confidence: 99%

EECCRN: Energy Enhancement with CSS Approach Using Q-Learning and Coalition Game Modelling in CRN

Vimal¹,

Kalaivani²,

Kadry

et al. 2021

ITC

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The Cognitive radio network (CR) is a widespread technology in which the Secondary users are assumed to be of the winning users to acquire the spectrum by reducing the false alarm possibilities and the false detection of the user assumed to be original user in nature is restricted with the usage of Spectrum monitoring agents. The collaborative spectrum sensing (CSS) is an approach that will identify the false intruder in the CR networks, here it is proposed with the Enhanced Q-Learning model with Coalition Game approach (EQLCG) to outline the energy enhancement. Besides an approach on Greedy Bidding is used to allocate the spectrum to the winning secondary user (SU) based on the idle primary user to strengthen the spectrum sensing. The winning secondary user forms a communication establishment with the neighbouring SU to eradicate the miss detection probability based on group level cooperation. The simulation experiment analyses the cluster level security with energy monitoring that has been performed using the analysis of interference by applying the coalition game theory modelling and the information obscured by the attacker is reduced with the usage of enhanced Q-learning, and the results prove that overhead is substantially monitored. The proposed paper enhances the security in physical layer with energy conservation and maintains the spectrum usage for application purpose. The proposed simulation approach reduces the miss detection and false alarm probabilistic approach while compared with Stackelberg and Bayesian game models.

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RETRACTED ARTICLE: Secure storage allocation scheme using fuzzy based heuristic algorithm for cloud

Cited by 11 publications

References 27 publications

A Hybrid Algorithm of Ant Colony and Benders Decomposition for Large-Scale Mixed Integer Linear Programming

A Hybrid Algorithm of Ant Colony and Benders Decomposition for Large-Scale Mixed Integer Linear Programming

Efficient Load Balancing with MANET Propagation of Least Common Multiple Routing and Fuzzy Logic

EECCRN: Energy Enhancement with CSS Approach Using Q-Learning and Coalition Game Modelling in CRN

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