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Zadeh's Centenary Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2021-01-17 Ioan DZITAC
This is the introductory paper in a special issue on fuzzy logic dedicated to the centenary of the birth of Lotfi A. Zadeh published by International Journal of Computers Communications & Control (IJCCC). In 1965, Lotfi A. Zadeh published in the journal „Information and Control” the article titled „Fuzzy sets”, which today reaches over 117 thousand citations. The total sum of citations for all his
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From Classical Logic to Fuzzy Logic and Quantum Logic: A General View Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2021-01-14 Sorin Nadaban
The aim of this article is to offer a concise and unitary vision upon the algebraic connections between classical logic and its generalizations, such as fuzzy logic and quantum logic. The mathematical concept which governs any kind of logic is that of lattice. Therefore, the lattices are the basic tools in this presentation. The Hilbert spaces theory is important in the study of quantum logic and it
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Noncommutative Logic Systems with Applications in Management and Engineering Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-11-25 Horia-Nicolai L. Teodorescu; Mike HM Teodorescu
Zadeh's (min-max, standard) fuzzy logic and various other logics are commutative, but natural language has nuances suggesting the premises are not equal, with premises contributing to the conclusion according to their prominency. Therefore, we suggest variants of salience-based, noncommutative and non-associative fuzzy logic (prominence logic) that may better model natural language and reasoning when
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My Early Researches on Fuzzy Set and Fuzzy Logic Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-11-30 Yong Shi
This paper presents the author’s works on fuzzy sets and fuzzy systems in early 1980’s to celebrate the 100-year birthday of Lotfi A. Zadeh. They were originally published in Chinese. The first part of the paper is about an isomorphic theorem on fuzzy subgroups and fuzzy series of invariant subgroups, which could be a theoretical basis when the multiple-valued computer system will be reconsidered or
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Information Volume of Fuzzy Membership Function Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2021-01-17 Jixiang Deng; Yong Deng
Fuzzy membership function plays an important role in fuzzy set theory. However, how to measure the information volume of fuzzy membership function is still an open issue. The existing methods to determine the uncertainty of fuzzy membership function only measure the first-order information volume, but do not take higher-order information volume into consideration. To address this issue, a new information
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Bibliometric Analysis of Fuzzy Logic Research in International Scientific Databases Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2021-01-17 Valentin Radu; Florin Radu; Alina Iuliana Tabirca; Silviu Ilie Saplacan; Ramona Lile
The purpose of this study is to explore the Web of Science Database (WOS) and review the significant contributions to the research of Fuzzy Logic or Fuzzy Sets theory from the beginning to the present. This study analyzes the most eminent authors, institutions, countries, and journals in Fuzzy Logic research by applying science mapping methods and bibliometric measures. Also, we paid attention to link
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V2V Routing in VANET Based on Fuzzy Logic and Reinforcement Learning Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2021-01-17 Wanli Zhang; Xiaoying Yang; Qixiang Song; Liang Zhao
To ensure the transmission quality of real-time communications on the road, the research of routing protocol is crucial to improve effectiveness of data transmission in Vehicular Ad Hoc Networks (VANETs). The existing work Q-Learning based routing algorithm, QLAODV, is studied and its problems, including slow convergence speed and low accuracy, are found. Hence, we propose a new routing algorithm FLHQRP
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Soft Computing Techniques and Their Applications in Intel-ligent Industrial Control Systems: A Survey Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2021-01-17 Zheng Wu; Huchang Liao; Keyu Lu; Edmundas Kazimieras Zavadskas
Soft computing involves a series of methods that are compatible with imprecise information and complex human cognition. In the face of industrial control problems, soft computing techniques show strong intelligence, robustness and cost-effectiveness. This study dedicates to providing a survey on soft computing techniques and their applications in industrial control systems. The methodologies of soft
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What does P mean in Natural Computing? Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-11-17 Gabriel Ciobanu
Celebrating 70th birthday of Gheorghe Păun.
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A Data Collecting Strategy for Farmland WSNs using a Mobile Sink Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-09-25 Yaqiong Zhang; Jiyan Lin; Hui Zhang
To the characteristics of large number of sensor nodes, wide area and unbalanced energy consumption in farmland Wireless Sensor Networks, an efficient data collection strategy (GCMS) based on grid clustering and a mobile sink is proposed. Firstly, cluster is divided based on virtual grid, and the cluster head is selected by considering node position and residual energy. Then, an optimal mobile path
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Information Volume of Mass Function Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-10-26 Yong Deng
Given a probability distribution, its corresponding information volume is Shannon entropy. However, how to determine the information volume of a given mass function is still an open issue. Based on Deng entropy, the information volume of mass function is presented in this paper. Given a mass function, the corresponding information volume is larger than its uncertainty measured by Deng entropy. In addition
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AN Improving NCS Stabilization Using a Predictive Pulsed Control Law Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-11-01 Oriol Castillo; Héctor Benítez-Pérez
The aim in this paper is experimentally to show that a predictive pulsed control law is able to enlarge the stabilizing sampling periods of a networked control system (NCS) more than the classical predictive ZOH-control law. Additionally, using a comparisson in the system response between the predictive pulsed control law and the predictive ZOH-control law, it is obtained that the pulsed control law
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Watermarking for the Secure Transmission of the Key into an Encrypted Image Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-11-20 Ali Khalfallah; Med Karim Abdmouleh; Med Salim Bouhlel
Ensuring the confidentiality of any data exchanged always presents a great concern for all communication instances. Technically, encryption is the ideal solution for this task. However, this process must deal with the progress of the cryptanalysis that aims to disclose the information exchanged. The risk increases due to the need for a dual transmission that includes the encrypted medium and the decryption
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A Rough Set and Cellular Genetic Fusion Algorithm for Acute Critical Disease Prediction Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-11-20 Hongxin Wang; Lijing Jia; Heng Zhuang; Xueyan Li; Yuzhuo Zhao; Shuxiao Pan; Kainan Wu; Jing Li; Tanshi Li
This study is to solve the problems of an overly-broad scale of medical indicators, lack of retrospective research samples, insufficient depth of data mining, and low disease prediction accuracy. In this paper, we propose an intelligent screening algorithm that combines a genetic algorithm, cellular automata, and rough set theory. This algorithm can achieve high accuracy in predicting patient outcomes
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Addressing Cooperation between Mobile Operators in Telecommunication Networks via Optimization: A Lexicographic Approach and Case Study in Colombia Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-11-20 Francisco José MacAllister; Laura Maya; Jorge A Huertas; Carlos Lozano-Garzón; Yezid Donoso
Cooperation between Telecommunications (Telco) operators has been limited both by regulation and competition in previous years. However, cooperation could not only allow an overall growth in quality of service (QoS) but also may benefit companies with under exploited nodes in their network infrastructure. This way, both fully deployed infrastructure by single Telco companies, as well as smaller companies
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Water Demand Forecasting using Deep Learning in IoT Enabled Water Distribution Network Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-11-20 Lakshmi Kanthan Narayanan; Suresh Sankaranarayanan; Joel J P C Rodrigues; Sergei Kozlov
Most of the water losses occur during water distribution in pipelines during transportation. In order to eradicate the losses, an “IoT based water distribution system” integrated with “Fog and Cloud Computing" proposed for water distribution and underground health monitoring of pipes. For developing an effective water distribution system based on Internet of Things (IoT), the demand of the consumer
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BioNMT: A Biomedical Neural Machine Translation System Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-11-20 Hongtao Liu; Yanchun Liang; Liupu Wang; Xiaoyue Feng; Renchu Guan
To solve the problem of translation of professional vocabulary in the biomedical field and help biological researchers to translate and understand foreign language documents, we proposed a semantic disambiguation model and external dictionaries to build a novel translation model for biomedical texts based on the transformer model. The proposed biomedical neural machine translation system (BioNMT) adopts
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A Social Network Image Classification Algorithm Based on Multimodal Deep Learning Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-11-20 Junwei Bai; Cheng Chi
The complex data structure and massive image data of social networks pose a huge challenge to the mining of associations between social information. For accurate classification of social network images, this paper proposes a social network image classification algorithm based on multimodal deep learning. Firstly, a social network association clustering model (SNACM) was established, and used to calculate
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Data-Driven Model-Free Sliding Mode and Fuzzy Control with Experimental Validation Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-10-30 Radu-Emil Precup; Raul-Cristian Roman; Elena-Lorena Hedrea; Emil M. Petriu; Claudia-Adina Bojan-Dragos
The paper presents the combination of the model-free control technique with two popular nonlinear control techniques, sliding mode control and fuzzy control. Two data-driven model-free sliding mode control structures and one data-driven model-free fuzzy control structure are given. The data-driven model-free sliding mode control structures are built upon a model-free intelligent Proportional-Integral
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Approximate Membership Function Shapes of Solutions to Intuitionistic Fuzzy Transportation Problems Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-10-08 Bogdana Stanojevic; Milan Stanojević
In this paper, proposing a mathematical model with disjunctive constraint system, and providing approximate membership function shapes to the optimal values of the decision variables, we improve the solution approach to transportation problems with trapezoidal fuzzy parameters. We further extend the approach to solving transportation problems with intuitionistic fuzzy parameters; and compare the membership
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Fuzzy Logic in Decision Support: Methods, Applications and Future Trends Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-09-25 Hangyao Wu; Zeshui XU
During the last decades, the art and science of fuzzy logic have witnessed significant developments and have found applications in many active areas, such as pattern recognition, classification, control systems, etc. A lot of research has demonstrated the ability of fuzzy logic in dealing with vague and uncertain linguistic information. For the purpose of representing human perception, fuzzy logic
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Artificial Neural Network and a Nonlinear Regression Model for Predicting Electrical Pole Crash Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-08-30 Cecilia Montt; Juan Carlos Castro; Alejandra Valencia; Astrid Oddershede; Luis Quezada
This paper presents the investigation about a problem situation that Electric Distributor Companies are facing in Chile resulting from transit accidents. The number of vehicle crashes to power distribution poles and street lighting has grown. This situation causes discomfort to citizen and mainly to the neighbors due to power cuts and even on occasion , losses of human lives because of the accident
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Determining IT Student Profile Using Data Mining and Social Network Analysis Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-07-06 Liana Stanca; Ramona - Lacurezeanu; Adriana Tiron-Tudor; Vasile Paul Bresfelean; Ionut Pandelica
To become higher competitive a university needs to develop a viable students’ absorption strategy on the labor market. A key to the successful development of such a strategy rests to synchronize jobs descriptions with profiles and behavior of IT students. In order to generate this synchronization, it is essential to identify a way to improve university curricula, learning and teaching process based
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Lyapunov-based Methods for Maximizing the Domain of Attraction Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-08-30 Houssem Mahmoud JERBI; Faiçal HAMIDI; Sondess BEN AOUN; Severus Constantin OLTEANU; Dumitru POPESCU
This paper investigates Lyapunov approaches to expand the domain of attraction (DA) of nonlinear autonomous models. These techniques had been examined for creating generic numerical procedures centred on the search of rational and quadratic Lyapunov functions. The outcomes are derived from all investigated methods: the method of estimation via Threshold Accepted Algorithm (TAA), the method of estimation
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A Convolutional Long Short-Term Memory Neural Network Based Prediction Model Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-08-30 Yonghong Tian; Qi Wu; Yue Zhang
In recent years, the market demand for online car-hailing service has expanded dramatically. To satisfy the daily travel needs, it is important to predict the supply and demand of online car-hailing in an accurate manner, and make active scheduling based on the predicted gap between supply and demand. This paper puts forward a novel supply and demand prediction model for online carhailing, which combines
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Solving a Modified Syndrome Decoding Problem using Integer Programming Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-08-30 Vlad-Florin Dragoi; Pierre-Louis Cayrel; Brice Colombier; Dominic Bucerzan; Sorin Hoara
In this article, we model a variant of the well-known syndrome decoding problem as a linear optimization problem. Most common algorithms used for solving optimization problems, e.g. the simplex algorithm, fail to find a valid solution for the syndrome decoding problem over a finite field. However, our simulations prove that a slightly modified version of the syndrome decoding problem can be solved
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V2V Routing in VANET Based on Heuristic Q-Learning Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-07-06 Xiaoying Yang; Wanli Zhang; Hongmei Lu; Liang Zhao
Designing efficient routing algorithms in vehicular ad hoc networks (VANETs) plays an important role in the emerging intelligent transportation systems. In this paper, a routing algorithm based on the improved Q-learning is proposed for vehicle-to-vehicle (V2V) communications in VANETs. Firstly, a link maintenance time model is established, and the maintenance time is taken as an important parameter
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Exhaustive Search for Optimal Offline Spectrum Assignment in Elastic Optical Networks Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-08-30 Iyad Katib
Heuristic-based approaches are widely deployed in solving Spectrum Assignment problem. This causes the results to be unreliable in some test cases when the results are very far from the lowerbound. This paper presents an exhaustive search approach that starts with an initial seed of a solution achieved by a heuristic-based algorithm called “Longest First Fit” (LFF) and tries all possible permutations
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Reduce Effect of Dependent Malicious Sensor Nodes in WSNs using Pairs Counting and Fake Packets Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-08-30 Ashraf Ahmad; Mohammed Hababeh; Alaa Abu-Hantash; Yousef AbuHour; Husam Musleh
In this paper, we propose a new technique for the enhancement of target detection in Wireless Sensor Networks (WSNs) in which sensor nodes are responsible for taking binary decisions about the presence or absence of a given target and reporting the output to the fusion center. We introduce the algorithm; Fail Silent Pair (FSP) to calculate global decision in the fusion center. The FSP algorithm randomly
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Path Selection using Fuzzy Weight Aggregated Sum Product Assessment Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-08-30 T. Brenda Chandrawati; Anak Agung Putri Ratna; Riri Fitri Sari
The search for safe evacuation routes is an important issue to save flood victims so they can reach the evacuation centre. This research is a simulation of searching for safe and fast travel evacuation route that have 24 alternative routes. Every road that will be transverse has a limit with certain criteria. Calculate of the weight of the constraints using the Multi-Criteria Decision Making (MCDM)
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Probability Transform Based on the Ordered Weighted Averaging and Entropy Difference Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-06-08 Lipeng Pan; Yong Deng
Dempster-Shafer evidence theory can handle imprecise and unknown information, which has attracted many people. In most cases, the mass function can be translated into the probability, which is useful to expand the applications of the D-S evidence theory. However, how to reasonably transfer the mass function to the probability distribution is still an open issue. Hence, the paper proposed a new probability
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A Fuzzy Logic Architecture for Rehabilitation Robotic Systems Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-06-08 Yassine Bouteraa; Ismail Ben Abdallah; Ahmed ElMogy; Atef Ibrahim; Usman Tariq; Tariq Ahmad
Robots are highly incorporated in rehabilitation in the last decade to compensate lost functions in disabled individuals. By controlling the rehabilitation robots from far, many benefits are achieved. These benefits include but not restricted to minimum hospital stays, decreasing cost, and increasing the level of care. The main goal of this work is to have an effective solution to take care of patients
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Proposed Fuzzy Real-Time HaPticS Protocol Carrying Haptic Data and Multisensory Streams Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-06-08 Sotirios Kontogiannis; George Kokkonis
Sensory and haptic data transfers to critical real-time applications over the Internet require better than best effort transport, strict timely and reliable ordered deliveries. Multi-sensory applications usually include video and audio streams with real-time control and sensory data, which aggravate and compress within real-time flows. Such real-time are vulnerable to synchronization to synchronization
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Automation Factors Influencing the Operation of IoT in Health Institutions: A Decision Support Methodology Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-06-08 Astrid M. Oddershede; Claudio J. Macuada; Luis E. Quezada; Cecilia A. Montt
Health institutions are adopting new technologies for their processes through automation by means of the concept of "Internet of Things" (IoT). Hence, offering innovative tools, applications and technology for the collection of key data and information, which is then integrated and consolidated, covering the different systems and their collaborators. The necessity of receiving quality medical services
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Hesitant Fuzzy DeGroot Opinion Dynamics Model and Its Application in Multi-attribute Decision Making Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-06-08 Zhan Su; Zeshui Xu; Hua Zhao; Shousheng Liu
The research on the evolution law of the opinions can help the decision makers (DMs) improve the decision-making efficiency, predict the trend of events and make the right decision. These opinions are always described by one number, which is inaccurate and incomplete. To solve such a problem, in this paper, the hesitant fuzzy DeGroot (HF-DeGroot) opinion dynamics model is proposed. In order to simulate
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Technical Solution for a Real-Time Air Quality Monitoring System Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-06-08 Attila Simo; Simona Dzitac; Flaviu Mihai Frigura-Iliasa; Sorin Musuroi; Petru Andea; Dragoș Meianu
This article will present a simple technical solution for a low-power and real-time air quality monitoring system. The whole package of software and hardware technical solutions applied for recording, transmitting and analyzing data is briefly described. This original monitoring system integrates a single chip microcon-troller, several dedicated air pollution surveillance sensors (for PM10, PM2.5,
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A Simpler and Semantic Multidimensional Database Query Language to Facilitate Access to Information in Decision-making Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-06-08 Fredi Edgardo Palominos; Felisa Córdova; Claudia Durán; Bryan Nuñez
OLAP and multidimensional database technology have contributed significantly to speed up and build confidence in the effectiveness of methodologies based on the use of management indicators in decision-making, industry, production, and services. Although there are a wide variety of tools related to the OLAP approach, many implementations are performed in relational database systems (R-OLAP). So, all
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A Prediction Model for Ultra-Short-Term Output Power of Wind Farms Based on Deep Learning Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-06-08 Yongsheng Wang; Jing Gao; Zhiwei Xu; Jidong Luo; Leixiao Li
The output power prediction of wind farm is the key to effective utilization of wind energy and reduction of wind curtailment. However, the prediction of output power has long been a difficulty faced by both academia and the wind power industry, due to the high stochasticity of wind energy. This paper attempts to improve the ultra-short-term prediction accuracy of output power in wind farm. For this
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Analytical Modelling of Share Price Value Using Computational Intelligence Methods Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-06-08 Marius Petrescu; Mădălina Cuc; Ionica Oncioiu; Anca-Gabriela Petrescu; Florentina-Raluca Bîlcan; Lucian Ivan
The liberalization, volatility and high competition of financial markets are all factors that expose companies to new risks and challenges, requiring a continuous innovation of models, techniques and tools for managing share price value and other related risks. This paper provides a model to implement a subsystem that should support the management decision on the trading segment of its own shares,
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A Green Routing Mathematical Model for IoT Networks in Critical Energy Environments Int. J. Comput. Commun. Control (IF 2.093) Pub Date : 2020-06-08 Carlos Lozano-Garzon; Germán Adolfo Montoya; Yezid Donoso
In this paper, we propose a multi-objective mathematical optimization model that is the underlying support for the proposal of a new routing algorithm that aims to extend the lifetime in IoT networks for applications in critical energy environment. The network lifetime is evaluated for three approaches: the Hop Count approach, the Energy Consumption approach, and the Multiobjective approach based on