A pixel-level entropy-weighted image fusion algorithm based on bidimensional ensemble empirical mode decomposition by Pei Wang, Hui Fu, Ke Zhang

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Verification of Data Races in Concurrent Interrupt Handlers by Guy Martin Tchamgoue, Kyong Hoon Kim, Yong-Kee Jun

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Online joint power control for cooperative jamming systems with energy harvesting by Weijia Lei, Ziwei Wang, Hongjiang Lei

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Sensor Fusion for Accurate Ego-Motion Estimation in a Moving Platform by Chuho Yi, Jungwon Cho

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Internet of Medical Things–based decision system for automated classification of Alzheimer’s using three-dimensional views of magnetic resonance imaging scans by Umair Khan, Armughan Ali, Salabat Khan, Farhan Aadil, Mehr Yahya Durrani, Khan Muhammad, Ran Baik, Jong Weon Lee

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Deep-Learning-Based High-Precision Localization With Massive MIMO by Guoda Tian, Ilayda Yaman, Michiel Sandra, Xuesong Cai, Liang Liu, Fredrik Tufvesson

“…Nevertheless, a common problem of ML-based techniques is that network training and fine-tuning can be challenging due to the increase in network sizes when applied to (massive) multiple-input multiple-output (MIMO) systems. …”
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A multi-factor integration-based semi-supervised learning for address resolution protocol attack detection in SDIIoT by Zhong Li, Huimin Zhuang

“…These advantages prompt us to propose a multi-factor integration-based semi-supervised learning address resolution protocol detection method deployed in software-defined networking, called MIS, to specially solve the problems of limited labeled training data and incomplete features extraction in the traditional address resolution protocol detection methods. …”
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Employing CNN mobileNetV2 and ensemble models in classifying drones forest fire detection images by Dima Suleiman, Ruba Obiedat, Rizik Al-Sayyed, Shadi Saleh, Wolfram Hardt, Yazan Al-Zain

“… In recent years, the adoption of advanced machine learning techniques has revolutionized approaches to solving complex problems, such as identifying occurrences of forest fires. …”
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Cooperate or Not Cooperate: Transfer Learning With Multi-Armed Bandit for Spatial Reuse in Wi-Fi by Pedro Enrique Iturria-Rivera, Marcel Chenier, Bernard Herscovici, Burak Kantarci, Melike Erol-Kantarci

“…In this paper, we formulate the Transmission Power (TP) and CCA configuration problem with the objective of maximizing fairness and minimizing station starvation. …”
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ITSMEI: An intelligent transport system for monitoring traffic and event information by Matheus S Quessada, Rickson S Pereira, William Revejes, Bruno Sartori, Euclydes N Gottsfritz, Douglas D Lieira, Marco AC da Silva, Geraldo P Rocha Filho, Rodolfo I Meneguette

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FedNDA: Enhancing Federated Learning with Noisy Client Detection and Robust Aggregation by Tuan Dung Kieu, Charles Fonbonne, Trung-Kien Tran, Thi-Lan Le, Hai Vu, Huu-Thanh Nguyen, Thanh-Hai Tran

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User-Centric Federated Learning: Trading off Wireless Resources for Personalization by Mohamad Mestoukirdi, Matteo Zecchin, David Gesbert, Qianrui Li

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Analysis on the degree of freedom of interference alignment in cognitive radio by UNXian S, HAOXiao-hui Z

“…The feasibility conditions were still unclear in the case of finite number of signal dimension for most cognitive radio systems. The IA problem of CR system with multiple primary users and multiple secondary users was divided into two sub-problems: the IA problem of primary network and the IA problem of secondary network, based on the cognitive mind. …”
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Interference-aware node access scheme in UAV-aided VANET by Xiying FAN, Chuanhe HUANG, Junyu ZHU, Shaojie WEN

“…In vehicular Ad Hoc network (VANET),frequent link handovers and channel interference can lead to increased transmission delay and decreased network throughput.To address the issues,unmanned aerial vehicle (UAV) were introduced to cooperate with vehicles and construct UAV-assisted air-ground integrated VANET.An interference-aware node access scheme was proposed.The node access problem was formulated as a multi-objective optimization problem considering link transmission rate,link handovers and transmit power.Then the optimization problem was decomposed into two convex optimization sub-problems by dual decomposition method,the sub-problem jointly optimizes handovers and link transmission rate while the sub-problem optimizes the transmit power based on link reliability.Finally,simulation results show that the proposed mechanism can effectively improve data delivery ratio,average end-to-end delay and network throughput.…”
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Optimized design of sensing transmission and computing collaborative industrial Internet by Jingbo LI, Li MA, Yang LI, Yingxun FU, Dongchao MA

“…In view of the new scenario and time-sensitive requirements of sensing-transmission end to computing end in the industrial Internet, and to solve the problem of end-to-end delay in applications that were not up to standard, a network optimized design scheme for sensing-transmission cooperative computing was proposed.First, the sensing-transmission computing cooperative network architecture based on cloud-edge-end was proposed to promote the deep integration of multidimensional systems and heterogeneous resources.Secondly, the network topology construction mode was optimized to reduce the average path length of the network, shorten the propagation distance, and offset the problem of signal decay due to the use of higher frequencies.Finally, the routing method was improved, and an integrated algorithm of topology optimization and routing strategy was designed to reduce the queuing delay in the network, control the end-to-end delay within a bounded range, and weaken the “long tail phenomenon”.The experimental results show that the scheme reduces the end-to-end delay and ensures the real-time and reliability of the network by optimizing the network topology and routing strategy and integrating the design.…”
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A LEO Satellite Handover Strategy Based on Graph and Multiobjective Multiagent Path Finding by Zhiyun Jiang, Wei Li, Xiangtong Wang, Binbin Liang

“…Low earth orbit (LEO) satellite network can provide services to users anywhere on the earth. …”
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Multi-objective multi-workflow task offloading based on evolutionary optimization by Teliekebieke Misha, Lisheng Sun, Zheng-yi Chai

“…The aforementioned problem is formulated as a multi-objective optimization problem with two objectives: average task completion latency and device energy consumption. …”
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GravCPA: Controller Placement Algorithm Based on Traffic Gravitation in SDN by Chenhui Wang, Hong Ni, Lei Liu

“…Therefore, it is necessary to use multicontroller architecture, which has some problems with the controller placement. In this article, we take both the average latency and the worst latency between switch and controller into consideration and make a multi-objective optimization model. …”
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OPTIMAL ROUTING: QUALITY OF SERVICE by N. I. Listopad, A. A. Hayder

“…The general principals of optimal routing are formulated. The average packet delay in the network is analyzed more detail. …”
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Attack traffic allocation and load balancing mechanism for SDN by LI Man, ZHOU Huachun, XU Qi, DENG Shuangxing, ZOU Tao, ZHANG Ruyun

“…To tackle the problem of traditional traffic allocation methods in software-defined networks (SDN) potentially failing to effectively detect distributed denial of service (DDoS) attacks, a traffic allocation and load balancing mechanism for attack traffic was proposed. …”
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