Optimal selection of sensor network and backed-off operating point based on economics

Wireless Sensor Network (WSN) is a rapidly growing area for IoT based research and applications. The main concern of research in WSN is to organize the node with different abilities including sensing range, communication range in the wireless network and route the detected data from the nodes to a central sink with dynamism. Clustering or Sector Formation is a key network employed to lengthen the lifespan of WSN by reducing energy utilization. LEACH is a sector algorithm in which the sector heads are arbitrarily chosen from the nodes and utilized to identify the solution with a better location to yield the energy loss sector heads. However, the non-optimal selection of sector head in LEACH cause the lesser lifespan of WSN. To overcome these issues, the Modified Quadrature-LEACH (MQ-LEACH) scheme is proposed in this paper which efficiently formed the sectors by selecting the optimal sector heads in the network. The simulation will be conducted in the NS2 environment where the essential parameters are evaluated for both proposed and existing methods. Further, the proposed scheme improves the network lifespan and stability period compared to existing schemes.

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Application of L6 Orthogonal Array for Optimal Selection of Some Process Parameters in GMAW Process

Indian Welding Journal ◽

10.22486/iwj.v45i4.141203 ◽

2012 ◽

Vol 45 (4) ◽

pp. 41 ◽

Cited By ~ 1

Author(s):

M. K. Saha ◽

Santanu Das ◽

A. Bandyopadhyay ◽

S. Bandyopadhyay

Keyword(s):

Process Parameters ◽

Orthogonal Array ◽

Optimal Selection ◽

Selection Of

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Application of L6 Orthogonal Array for Optimal Selection of Some Process Parameters in GMAW Process

Indian Welding Journal ◽

10.22486/iwj/2012/v45/i4/141203 ◽

2012 ◽

Vol 45 (4) ◽

pp. 41

Author(s):

M. K. Saha ◽

Santanu Das ◽

A. Bandyopadhyay ◽

S. Bandyopadhyay

Keyword(s):

Process Parameters ◽

Orthogonal Array ◽

Optimal Selection ◽

Selection Of

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Design and implementation of an ADC-based real-time simulator along with an optimal selection of the switch model parameters

Electrical Engineering ◽

10.1007/s00202-021-01237-1 ◽

2021 ◽

Author(s):

Morteza Rezaei Larijani ◽

Mohammad Reza Zolghadri

Keyword(s):

Real Time ◽

Model Parameters ◽

Optimal Selection ◽

Design And Implementation ◽

Selection Of

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Methodology for Determining the Location of River Ports on a Modernized Waterway Based on Non-Cost Criteria: A Case Study of the Odra River Waterway

Sustainability ◽

10.3390/su13063571 ◽

2021 ◽

Vol 13 (6) ◽

pp. 3571

Author(s):

Bogusz Wiśnicki ◽

Dorota Dybkowska-Stefek ◽

Justyna Relisko-Rybak ◽

Łukasz Kolanda

Keyword(s):

Large Scale ◽

Multicriteria Decision Making ◽

Research Process ◽

Optimal Selection ◽

Investment Projects ◽

Odra River ◽

Research Problems ◽

Selection Of ◽

Construction Works

The paper responds to research problems related to the implementation of large-scale investment projects in waterways in Europe. As part of design and construction works, it is necessary to indicate river ports that play a major role within the European transport network as intermodal nodes. This entails a number of challenges, the cardinal one being the optimal selection of port locations, taking into account the new transport, economic, and geopolitical situation that will be brought about by modernized waterways. The aim of the paper was to present an original methodology for determining port locations for modernized waterways based on non-cost criteria, as an extended multicriteria decision-making method (MCDM) and employing GIS (Geographic Information System)-based tools for spatial analysis. The methodology was designed to be applicable to the varying conditions of a river’s hydroengineering structures (free-flowing river, canalized river, and canals) and adjustable to the requirements posed by intermodal supply chains. The method was applied to study the Odra River Waterway, which allowed the formulation of recommendations regarding the application of the method in the case of different river sections at every stage of the research process.

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Optimal Selection of Conductors in Three-Phase Distribution Networks Using a Discrete Version of the Vortex Search Algorithm

Computation ◽

10.3390/computation9070080 ◽

2021 ◽

Vol 9 (7) ◽

pp. 80

Author(s):

John Fernando Martínez-Gil ◽

Nicolas Alejandro Moyano-García ◽

Oscar Danilo Montoya ◽

Jorge Alexander Alarcon-Villamil

Keyword(s):

Objective Function ◽

Power Flow ◽

Phase Distribution ◽

Search Algorithm ◽

Distribution Networks ◽

Discrete Version ◽

Optimal Selection ◽

Flow Method ◽

Three Phase ◽

Selection Of

In this study, a new methodology is proposed to perform optimal selection of conductors in three-phase distribution networks through a discrete version of the metaheuristic method of vortex search. To represent the problem, a single-objective mathematical model with a mixed-integer nonlinear programming (MINLP) structure is used. As an objective function, minimization of the investment costs in conductors together with the technical losses of the network for a study period of one year is considered. Additionally, the model will be implemented in balanced and unbalanced test systems and with variations in the connection of their loads, i.e., Δ− and Y−connections. To evaluate the costs of the energy losses, a classical backward/forward three-phase power-flow method is implemented. Two test systems used in the specialized literature were employed, which comprise 8 and 27 nodes with radial structures in medium voltage levels. All computational implementations were developed in the MATLAB programming environment, and all results were evaluated in DigSILENT software to verify the effectiveness and the proposed three-phase unbalanced power-flow method. Comparative analyses with classical and Chu & Beasley genetic algorithms, tabu search algorithm, and exact MINLP approaches demonstrate the efficiency of the proposed optimization approach regarding the final value of the objective function.

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