Article
Computer Science, Interdisciplinary Applications
S. E. Benatia, O. Smail, B. Meftah, M. Rebbah, B. Cousin
Summary: The paper introduces a new multipath routing protocol, RMQS-ua, which aims to select paths with better link quality and more stable links for reliable data transmission, particularly in urban areas. Simulation results demonstrate that RMQS-ua enhances network performance and reliability compared to some existing protocols.
SIMULATION MODELLING PRACTICE AND THEORY
(2021)
Article
Automation & Control Systems
Yaping Fu, MengChu Zhou, Xiwang Guo, Liang Qi, Khaled Sedraoui
Summary: Disassembly is a crucial step in remanufacturing process for resource reuse and waste reduction. This study introduces a stochastic biobjective disassembly sequence planning problem to maximize profit and minimize energy consumption. Chance-constrained programming model with multiverse optimization algorithm is proposed for efficient solutions.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Engineering, Industrial
Luis Fernando Galindres-Guancha, Eliana Toro-Ocampo, Ramon Gallego-Rendon
Summary: Vehicle routing problems are traditionally studied with a single objective function, but in reality, multiple objective functions need to be considered. This has led to the development of multiobjective models and exact or approximate solution techniques. The research shows that ILS/D is a promising technique for solving VRPs with a multiobjective approach.
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING COMPUTATIONS
(2021)
Article
Computer Science, Hardware & Architecture
M. V. S. S. Nagendranth, M. Rajesh Khanna, N. Krishnaraj, Mohamed Yacin Sikkandar, Mohamed Abdelkader Aboamer, R. Surendran
Summary: This paper proposes a new cluster-based secure routing protocol for MANETs, which achieves secure data transmission and energy efficiency through type II fuzzy clustering and improved ant colony optimization routing.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Telecommunications
Praveen Kumar Devulapalli, Pardha Saradhi Pokkunuri, Sushanth Babu Maganti
Summary: The article introduces Cooperative Communication (CC) extensively implemented in mobile Ad hoc networks and proposes a hybrid multi-hop cooperative routing algorithm to address the challenges of energy consumption and routing in large scale cooperative mobile ad hoc networks. By optimizing the number of transmitters and receivers in each hop and obtaining an optimal number of cooperative relays in each hop, the proposed algorithm effectively reduces end-to-end energy utilization, saving up to 53.42% of energy consumption compared to traditional algorithms.
WIRELESS PERSONAL COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Yindi Yao, Dangyuan Xie, Ying Li, Chen Wang, Yangli Li
Summary: A wireless sensor network routing protocol based on improved archimedes optimization algorithm (IAOAR) is proposed in this paper to reduce energy consumption and improve node survival. This protocol selects appropriate initial clusters and adjusts cluster head positions using virtual force, as well as constructs the shortest transmission path using an improved ant colony algorithm, thus prolonging the network's lifetime.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Civil
Rajat Chaudhary, Neeraj Kumar
Summary: The massive expansion of Datacenters has led to a significant increase in energy consumption, posing challenges for traditional TCP/IP networks to manage Quality-of-Service requirements. Software-Defined Networking (SDN) emerges as a leading technology to address these issues.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Computer Science, Hardware & Architecture
Ramin Yarinezhad, Sadoon Azizi
Summary: This paper introduces a tree-based routing protocol that efficiently manages routing in energy-efficient green-IoT networks, achieving reduced energy consumption and decreased delay through two different mechanisms. Simulation results show that the proposed routing algorithm outperforms existing ones in terms of energy consumption, network lifetime, delay, and throughput.
Article
Management
Liang Zheng, Ji Bao, Chengcheng Xu, Zhen Tan
Summary: We propose a biobjective robust simulation-based optimization method to solve unconstrained problems involving implementation errors and parameter perturbations. The algorithm efficiently finds a set of robust efficient solutions through a series of function evaluations or simulations. The test results show the effectiveness of the method and its superior performance.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Computer Science, Information Systems
R. Thenmozhi, P. Sakthivel, K. Kulothungan
Summary: The growing demand for real-time IoT applications has led to the need for QoS communication protocols. Heterogeneous IoT data collection and communication processing have specific requirements in terms of energy, reliability, latency, and priority. This paper proposes an energy-efficient priority-based multi-objective QoS routing mechanism to ensure energy and QoS in IoT networks. The proposed system uses optimization algorithms and fitness functions to improve energy efficiency.
Article
Operations Research & Management Science
Nail Karabay, Murat Koksalan, Diclehan Tezcaner Ozturk
Summary: In this study, the problem of route planning for a UAV in a two-dimensional hostile terrain monitored by radars is addressed. Two conflicting objectives of minimizing distance and minimizing radar detection threat are considered. Efficient routes comprised of efficient trajectories and visiting orders are constructed. An algorithm is developed to quickly find a preferred route and a heuristic approach is provided for faster solving. The algorithms are demonstrated on 5, 9, and 15-target problems.
Article
Telecommunications
K. Anish Pon Yamini, K. Suthendran, T. Arivoli, Vinayakumar Ravi
Summary: This paper proposes an energy management model and a routing protocol to improve energy efficiency in mobile ad-hoc networks.
WIRELESS PERSONAL COMMUNICATIONS
(2022)
Article
Automation & Control Systems
Jiao Liu, Yong Wang, Bin Xin, Ling Wang
Summary: This article proposes a two-phase method based on biobjective optimization to address the issue of local convergence caused by integer restrictions in mixed-integer programming problems. By utilizing a measure function and removing integer restrictions, the MIP problem is transformed into a constrained biobjective optimization problem, leading to better solutions.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Telecommunications
Chukka Niranjan Kumar, Nikitha Kukunuru
Summary: A novel energy efficient disjoint multipath routing protocol is proposed in this paper, which utilizes Simulated Annealing technique and takes into consideration network and node characteristics. By selecting appropriate nodes for routing, successful data delivery is ensured, while most network failure situations can be avoided, thus guaranteeing efficient network operation.
WIRELESS PERSONAL COMMUNICATIONS
(2021)
Article
Automation & Control Systems
Yuxia Pan, Kaizhou Gao, Zhiwu Li, Naiqi Wu
Summary: A distributed flow-shop scheduling problem with lot-streaming is addressed in this paper. A biobjective mathematic model is developed and an improved Jaya algorithm is proposed to solve the problem. Experimental results show that the strategies designed for the algorithm are competitive for solving the problem with makespan and total energy consumption criteria.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Computer Science, Software Engineering
Paola Festa, Serena Fugaro, Francesca Guerriero
Summary: The paper discusses the algorithm for reoptimizing shortest paths in the scenario of multiple changes to the arc sets, and implements and compares it with the well-known Dijkstra's algorithm. The experimental results help distinguish situations where the reoptimization approach is efficient from those that should be solved from scratch.
OPTIMIZATION METHODS & SOFTWARE
(2022)
Article
Operations Research & Management Science
Francesca Guerriero, Rosita Guido
Summary: This study proposes optimization models to address flexible staff scheduling issues during the Covid-19 pandemic, focusing on anti-Covid-19 measures, employee needs, and work/life balance. Empirical results demonstrate that these models can enhance employee satisfaction while ensuring work continuity and safety.
OPTIMIZATION LETTERS
(2022)
Article
Automation & Control Systems
Giovanna Rotella, Maria Rosaria Saffioti, Michela Sanguedolce, Domenico Umbrello
Summary: This paper presents a physics-based model able to simulate the flow stress behavior of the Ti6Al4V alloy during subsequent severe plastic deformation processes, such as turning and burnishing. The proposed numerical model was validated through turning and roller burnishing experiments, accurately predicting the evolution of grain size, dislocations, hardness, and residual stresses in the manufactured Ti6Al4V components. Different process combinations can lead to similar microstructures, and information on different contributions can be highlighted through physics-based modelling and simulated process combinations.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Computer Science, Software Engineering
Luigi Di Puglia Pugliese, Daniele Ferone, Paola Festa, Francesca Guerriero, Giusy Macrina
Summary: This paper addresses the vehicle routing problem with occasional drivers, time window constraints, and multiple deliveries, and proposes some greedy randomized adaptive search procedures (GRASP) as solutions. Computational experiments demonstrate the superiority of the proposed GRASP algorithms in terms of both efficiency and effectiveness, compared to previous approaches.
OPTIMIZATION METHODS & SOFTWARE
(2022)
Article
Engineering, Industrial
Domenico Umbrello, Maria Rosaria Saffioti, Stano Imbrogno
Summary: This paper analyzes the surface changes and biocompatibility of Zr-702 additively manufactured bars. The samples were machined under different conditions, and the adhesion and proliferation of MC3T3-E1 osteoblast cells on the printed and machined surfaces were observed. The study establishes a connection between surface characteristics and cell behavior, and evaluates the potential of machining processes to modulate the biocompatibility of the investigated material.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Daniele Ferone, Paola Festa, Francesca Guerriero
Summary: This paper introduces the Rainbow Steiner Tree Problem, proposes a mathematical model and two heuristic methods, and evaluates their performance through computational experiments, showing that these methods are more effective than the ILOG CPLEX solver.
COMPUTERS & OPERATIONS RESEARCH
(2022)
Article
Operations Research & Management Science
L. Di Puglia Pugliese, D. Ferone, P. Festa, F. Guerriero
Summary: This paper studies a generalization of the shortest path tour problem with time windows and proposes a dynamic programming approach to solve it. Numerical results collected on benchmark instances highlight the effectiveness of the proposed solution approach.
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Peppino Fazio, Miralem Mehic, Miroslav Voznak
Summary: Mobility is crucial in modern networking systems for managing available resources. This study focuses on adaptively sampling mobility patterns based on intrinsic features of human/node behavior. By considering the spectral content of historical mobility patterns, the researchers developed a dynamic sampling method using wavelet transforms, achieving advantages in space, energy, and accuracy.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Interdisciplinary Applications
Giovanni Giallombardo, Francesca Guerriero, Giovanna Miglionico
Summary: In this study, we analyze a distribution logistics scenario where a shipping operator needs to make decisions on accepting service requests to maximize revenues while considering resource consumptions. To address the curse of dimensionality, a mixed-integer linear programming approximation approach is proposed.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Computer Science, Hardware & Architecture
Peppino Fazio, Miralem Mehic, Miroslav Voznak, Floriano De Rango, Mauro Tropea
Summary: Mobile computing has become an integral part of telecommunication systems, impacting the operations of the Open Systems Interconnection (OSI) layers due to node movements. Routing approaches have been extensively explored to optimize system performance. This study focuses on analyzing the mobility grade trend in a mobile ad-hoc network environment and aims to predict node stability for enhanced understanding of mobile node dynamics. Geographical map-based simulations validate the effectiveness of the proposed study.
Article
Computer Science, Interdisciplinary Applications
Raffaele Cerulli, Francesca Guerriero, Edoardo Scalzo, Carmine Sorgente
Summary: This paper introduces a NP-hard variant of the shortest path problem, which involves exclusive-disjunction arc pairs conflicts. In this framework, a penalty has to be paid if a conflict is violated by selecting both arcs in a pair or none of them. The goal is to minimize the overall cost, defined as the sum of the costs of the traversed arcs and the penalties of the violated conflicts, by finding a path. The variant is used to model web applications test planning scenarios. The paper provides a proof of NP-hardness and proposes two mathematical programming formulations for the problem.
COMPUTERS & OPERATIONS RESEARCH
(2023)
Article
Computer Science, Information Systems
Peppino Fazio, Miralem Mehic, Miroslav Voznak
Summary: This article proposes a method for analyzing the main features of mobility traces in the frequency domain and determining the relationships between typical mobility grades and sampling frequencies. The results show that this method can achieve a significant gain in collected samples without sacrificing accuracy in the reconstructed signal.
IEEE SYSTEMS JOURNAL
(2023)
Review
Chemistry, Analytical
Reza Shahbazian, Giusy Macrina, Edoardo Scalzo, Francesca Guerriero
Summary: This paper reviews machine-learning-based approaches for IoT localization systems. Machine learning methods are being used to solve localization problems due to their high prediction accuracy. The main goal of the paper is to provide a review of how learning algorithms are used to solve IoT localization problems, as well as address current challenges. The existing literature released between 2020 and 2022 is examined and classified based on learning algorithm, chosen environment, specific covered IoT protocol, and measurement technique. The potential applications of learning algorithms in IoT localization and future trends are also discussed.
Article
Telecommunications
Peppino Fazio, Miralem Mehic, Miroslav Voznak
Summary: In this study, a new approach to mobility prediction by analyzing the effects of a proper mobility sampling frequency was proposed. The spectral content of mobility traces was considered to determine the appropriate sampling frequency, which was found to have significant effects on the characteristics of mobility. Simulation campaigns were performed to observe and evaluate these effects.
DIGITAL COMMUNICATIONS AND NETWORKS
(2023)
