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coverage optimization for Defect-Tolerance Logic Mapping on Nanoelectronic Crossbar Architectures

Journal of Computer Science & Technology 2012年第5期27卷 979-988页

作者：袁博李斌 Natural Inspired Computation and Applications Lab Joint USTC-Birmingham Research Institute in Intelligent Computation and Its Applications University of Science and Technology of China

Emerging nano-devices with the corresponding nano-architectures are expected to supplement or even replace conventional lithography-based CMOS integrated circuits, while, they are also facing the serious challenge of high defect rates. In this paper, a new weighted coverage is defined as one of the most important evaluation criteria of various defecttolerance logic mapping algorithms for nanoelectronic crossbar architectures functional design. This new criterion is proved by experiments that it can calculate the number of crossbar modules required by the given logic function more accurately than the previous one presented by Yellambalase et al. Based on the new criterion, a new effective mapping algorithm based on genetic algorithm （GA） is proposed. Compared with the state-of-the-art greedy mapping algorithm, the proposed algorithm shows pretty good effectiveness and robustness in experiments on testing problems of various scales and defect rates, and superior performances are observed on problems of large scales and high defect rates.

关键词： coverage optimization defect-tolerance nanoelectronic crossbar logic mapping evolutionary algorithm

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coverage optimization for UAV-Aided Internet of Things with Partial Channel Knowledge

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Journal of Communications and Information Networks 2018年第4期3卷 55-63页

作者： Xuanxuan Wang Wei Feng Yunfei Chen Ning Ge Beijing National Research Center for Infor-mation Science and Technology(BNRist) Department of Electronic Engi-neeringTsinghua UniversityBeijing 100084China School of Engineering the University of WarwickCoventryCV47ALUK

Due to the high maneuverability of unmanned aerial vehicles(UAVs),they have been widely deployed to boost the performance of Internet of Things(IoT).In this paper,to promote the coverage performance of UAV-aided IoT communications,we maximize the minimum average rate of the IoT devices by jointly optimizing the resource allocation strategy and the UAV ***,to depict the practical propagation environment,we take the composite channel model including both the small-scale and the large-scale channel fading into *** to the difficulty in acquiring the random small-scale channel fading,we assume that only the large-scale channel sate information is *** this basis,we formulate an optimization problem,which is not convex and challenging to ***,an efficient iterative algorithm is proposed using block coordinate descent and successive convex optimization ***,simulation results are presented to demonstrate the significant performance gain of the proposed scheme over existing ones.

关键词： block coordinate descent coverage optimization IoT UAVs

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coverage optimization of Field Observation Instrument Networking Based on an Improved ABC Algorithm

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国际计算机前沿大会会议论文集 2022年第2期 298-306页

作者： Xingyue Deng Jiuyuan Huo Ling Wu School of Electronic and Information Engineering Lanzhou Jiaotong UniversityLanzhou 730070People’s Republic of China Lanzhou Ruizhiyuan Information Technology Co.LTD Lanzhou 730070People’s Republic of China

The severe conditions of cold and arid areas seriously affect the progress of data collection and analysis for field observation ***,this study adopted the modified artificial bee colony(ABC)algorithm to optimize the coverage of nodes and designed an energy-efficient node coverage optimization *** the coverage optimization,the coverage rate and the number of working nodes are considered comprehensively,and the fitness value calculation is *** experimental results reveal that the modified ABC algorithm has better coverage optimization performance than the original ABC algorithm,genetic algorithm(GA),and particle swarm optimization(PSO)algorithm.

关键词： Field observation instrument networking Wireless sensor network ABC algorithm coverage optimization

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Muti-Fusion Swarm Intelligence optimization Algorithm in Base Station coverage optimization Problems

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Computer Systems Science & Engineering 2023年第11期47卷 2241-2257页

作者： Zhenyu Yan Haotian Bian School of Petroleum China University of Petroleum-Beijing at KaramayKaramay834000China School of Arts and Sciences China University of Petroleum-Beijing at KaramayKaramay834000China

As millimeter waves will be widely used in the Internet of Things(IoT)and Telematics to provide high bandwidth communication and mass connectivity,the coverage optimization of base stations can effectively improve the quality of communication *** to optimize the convergence speed of the base station coverage solution is crucial for IoT service *** paper proposes the Muti-Fusion Sparrow Search Algorithm(MFSSA)optimize the situation to address the problem of discrete coverage maximization and rapid ***,the initial swarm diversity is enriched using a sine chaotic map,and dynamic adaptive weighting is added to the discoverer location update strategy to improve the global search *** swarms have a more remarkable ability to forage for food and avoid predation and are less likely to fall into a“precocious”*** a swarm is very suitable for solving NP-hard ***,an elite opposition-based learning strategy is added to expand the search range of the algorithm,and a t-distribution-based one-fifth rule is introduced to reduce the probability of falling into a local *** fusion mutation strategy can significantly optimize the adaptability and searchability of the ***,the experimental results show that the MFSSA algorithm can effectively improve the coverage of the deployment scheme in the base station coverage optimization problem,and the convergence speed is better than other *** is improved by more than 10%compared to the original algorithm.

关键词： Base station coverage swarm intelligence dynamic adaptive coverage optimization

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Modified particle swarm optimization-based antenna tilt angle adjusting scheme for LTE coverage optimization

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Journal of Southeast University(English Edition) 2015年第4期31卷 443-449页

作者：潘如君蒋慧琳裴氏莺李沛潘志文刘楠东南大学移动通信国家重点实验室南京210096 Faculty of Mechatronics-Electronics Lachong University

In order to solve the challenging coverage problem that the long term evolution（ LTE） networks are facing, a coverage optimization scheme by adjusting the antenna tilt angle（ ATA） of evolved Node B（ e NB） is proposed based on the modified particle swarm optimization（ MPSO） *** number of mobile stations（ MSs） served by e NBs, which is obtained based on the reference signal received power（RSRP） measured from the MS, is used as the metric for coverage optimization, and the coverage problem is optimized by maximizing the number of served MSs. In the MPSO algorithm, a swarm of particles known as the set of ATAs is available; the fitness function is defined as the total number of the served MSs; and the evolution velocity corresponds to the ATAs adjustment scale for each iteration cycle. Simulation results showthat compared with the fixed ATA, the number of served MSs by e NBs is significantly increased by 7. 2%, the quality of the received signal is considerably improved by 20 d Bm, and, particularly, the system throughput is also effectively increased by 55 Mbit / s.

关键词： long term evolution(LTE) networks antenna tilt angle coverage optimization modified particle swarm optimization algorithm

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The coverage optimization Method for Underwater Sensor Network Based on VF-PSO Algorithm

The Coverage Optimization Method for Underwater Sensor Netwo...

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第32届中国控制与决策会议

作者： Yujiao Sun Yifan Hu Lu Chen Hailin Liu Jie Chen Bin Lv Institute of Oceanographic Instrumentation Qilu University of Technology(Shandong Academy of Sciences) Shandong Provincial Key Laboratory of Ocean Environmental Monitoring Technology National Engineering and Technological Research Center of Marine Monitoring Equipment

coverage is an important indicator of the quality of underwater sensor network(UWSN) *** reflects the monitoring capability of the network nodes to the UWSN deployment area and determines the overall lifetime of the *** order to improve network coverage and prolong network lifetime,this paper proposed a combination algorithm of virtual force and particle swarm optimization(VF-PSO).By the action of the virtual force,the underwater mobile nodes are moved to a relatively ideal position to maximize the network *** virtual force is used to guide the optimization of the particle swarm so as to speed up the convergence of the particles to the global optimal *** algorithm not only effectively solves the problem of insufficient optimization ability of the virtual force algorithm,but also makes the particle swarm algorithm evolve towards the target solution that maximizes the area *** results show that the VF-PSO algorithm can effectively improve the effective coverage of underwater monitoring area,and avoid void-hole problem,while ensuring network connectivity compared with the algorithm proposed earlier.

关键词： Underwater sensor network VF-PSO algorithm coverage optimization Void hole

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optimization coverage of wireless nodes for target probabilistic positioning in underwater sensor network 36

Optimization coverage of wireless nodes for target probabili...

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第36届中国控制会议

作者： Luo Chengming Fan Xinnan Xin Gaifang Yang Hai Zhang Xuewu College of Internet of Things Engineering Hohai University College of Computer and Information Hohai University Jiangsu Wenguang Vehicle Accessories Company Limited School of Mechanical and Electrical Engineering Changzhou College of Information Technology School of Mechatronic Engineering Southwest Petroleum University

ISBN: (纸本)9781538629185

As a class of narrow band structures such as dock,bridge and dam,chain-type networks are applied to monitor and track underwater *** paper proposes a coverage strategy for probabilistic positioning of mobile targets,which can balance the coverage and positioning performance of underwater sensor *** on careful analysis characteristic of network architectures,multiple relay nodes integrated with non-uniform deployment are designed in the consideration of the extensibility of underwater sensor network,which consists of common sense nodes,relay nodes and a base *** probabilistic positioning model for mobile targets is devised with the support of node optimization ***,the simulation experiments have been implemented in order to evaluate the proposed algorithm performance for targets probabilistic positioning.

关键词： Underwater Sensor Network Mobile Targets Probabilistic Positioning coverage optimization

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