Localization of sensor nodes using modified particle swarm optimization in wireless sensor networks

Barak, Neelam; Gaba, Neha; Aggarwal, Shipra

doi:10.1109/icacci.2016.7732451

Cited by 6 publications

(4 citation statements)

References 20 publications

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“…Especially for complex engineering problems, approximate solutions can be quickly found through iterative optimization‐seeking calculations, so it is widely used in engineering calculation. [ 22,23 ]…”

Section: Methodsmentioning

confidence: 99%

“…Especially for complex engineering problems, approximate solutions can be quickly found through iterative optimization-seeking calculations, so it is widely used in engineering calculation. [22,23] The size of the cross-brace structure with the character of discreteness, so the optimization of the cross-brace structure is a typical combinatorial optimization problem, which is relatively complex. From the optimization model, it can be seen that this is an optimal solution of a nonlinear equation with constraints.…”

Section: Apso Algorithm For Cross-brace Optimization Modelmentioning

confidence: 99%

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Multi‐Objective Optimization for the Cross Brace of a Computer Numerical Control Gantry Machine Tool Based on Intelligent Algorithms

Liu

Huang

2023

Advanced Intelligent Systems

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A multi‐objective optimization design method for the cross‐brace structure of a computer numerical control gantry machine tool is proposed to improve mechanical performance. Dynamic and static performance indexes of the cross brace are analyzed. On basis of sensitivity analysis, size parameters which have great influence on mass and dynamic and static performance indexes of the cross brace are selected as design variables for optimization. Objective values under design variables are obtained by orthogonal experimental method, and an objective function is fitted by response surface method. After verifying the fitting effect of the objective function, entropy weight method is used to calculate weight coefficient of each optimization objective, and a comprehensive performance optimization model of the cross brace is built. Accelerated particle swarm optimization (APSO) intelligent algorithm is used to solve the comprehensive performance optimization model. Comparison results before and after the optimization show that the mass of optimized cross brace is reduced by 8.377%, the maximum stress is reduced by 13.252%, and the first‐order natural frequency is increased by 2.183%. The proposed optimization method provides a new idea to improve the dynamic and static performance of the cross brace while reducing its mass.

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Section: Methodsmentioning

confidence: 99%

Section: Apso Algorithm For Cross-brace Optimization Modelmentioning

confidence: 99%

Multi‐Objective Optimization for the Cross Brace of a Computer Numerical Control Gantry Machine Tool Based on Intelligent Algorithms

Liu

Huang

2023

Advanced Intelligent Systems

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“…It operates in the same way that a set of birds whose objective is to generate computational intelligence for searching corn utilizing social interaction rather only isolated movement cognitive abilities, i.e., direction, speed and acceleration with the behaviour of others. It is included in the evolutionary algorithms since the communications capacity of particles is thought to be an evolutionary and adaptive process [181]. Similarly, in PSO, the influence of the best possible position that has visited a particle across "species" mutation influences the particles' influence.…”

Section: ) Particle Swarm Optimization (Pso)mentioning

confidence: 99%

Systematic Review of Dynamic Multi-Object Identification and Localization: Techniques and Technologies

Ali¹,

Liu²,

He³

et al. 2021

IEEE Access

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Object identification and localization in indoor and outdoor environments are paramount issues in object-human interaction. Recent advancements in the data fusion capabilities of multi-sensor systems have paved the way for research on emerging object identification and positioning techniques. This review describes techniques and methods used in positioning technologies. State-of-the-art localization technologies are classified into range-based, range-free and AI-based categories. An in-depth analysis of localization approaches based on laser range finder, radio-frequency identification, ultra-wideband, inertial measurement unit, etc., are presented by providing a detailed comparison based on range, accuracy, measurement method, advantages, disadvantages, and their applications. Furthermore, we investigate stateof-the-art multimodal data fusion techniques that utilize probabilistic methods for the precise estimation of object identification in motion and its localization.INDEX TERMS Indoor and outdoor positioning systems; identification and localization; unstructured environment; multi-sensor system; multi-object; positioning and localization techniques.

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“…These algorithms make sure highest rates of convergence and prevent the issueof trapping in local minima. Thiswork uses a modified PSOmethod which is computationally efficient and subsequent simulation results have proven the better convergence results derived from the algorithm over traditional methods of PSOmethod [11].…”

Section: Literature Surveymentioning

confidence: 99%

Grid Based Sensor Deployment Technique for Localization in WSN

Rajput¹,

Dubey²

2017

IOSR JCE

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Localization of sensor nodes using modified particle swarm optimization in wireless sensor networks

Cited by 6 publications

References 20 publications

Multi‐Objective Optimization for the Cross Brace of a Computer Numerical Control Gantry Machine Tool Based on Intelligent Algorithms

Multi‐Objective Optimization for the Cross Brace of a Computer Numerical Control Gantry Machine Tool Based on Intelligent Algorithms

Systematic Review of Dynamic Multi-Object Identification and Localization: Techniques and Technologies

Grid Based Sensor Deployment Technique for Localization in WSN

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