检索结果-内蒙古大学图书馆

IEEE 10th International Conference on Mobile Ad-Hoc and Sensor Systems (MASS)

作者： Tao, Dan Tang, Shaojie Liu, Liang Beijing Jiaotong Univ Sch Elect & Informat Engn State Key Lab Rail Traff Control & Safety Beijing 100044 Peoples R China Temple Univ Dept Comp & Informat Sci Philadelphia PA 19122 USA Beijing Univ Posts & Telecommun Beijing Key Lab Intelligent Telecommun Software & Beijing PT-100876 Peoples R China

ISBN: (纸本)9780769551043

In this paper, we explore the area coverage optimization problem by directional sensors with tunable sensing orientations. We firstly introduce the concept of "sensing centroid", which is the geometric center of a sensing sector to simplify the pending problem. Particularly, we regard "sensing centroid" as artificial fish (AF), and search an optimal solution in the solution space by simulating fish swarm behaviors (such as prey, swarm and follow) with a tendency toward high food consistence. Fully considering that AFs have to satisfy both kinematic constraint and dynamic constraint in the process of motion, we propose a Constrained Artificial Fish-Swarm Algorithm (CAFSA), and discuss the control laws to guide the behaviors of AFs with high convergence speed. Finally, we evaluate the effect of some primary parameters on the performance of our solution through extensive simulations.

关键词： directional sensor networks swarm intelligence artificial fish-swarm area coverage coverage optimization

来源：评论

学校读者我要写书评

暂无评论

Joint coverage optimization of Multiple Sectors for Cellular Networks

Joint Coverage Optimization of Multiple Sectors for Cellular...

引用

IEEE 78th Vehicular Technology Conference (VTC Fall)

作者： Fan, Dongdong Wu, Zhouyun Huang, Aiping Zhuang, Hongcheng Quek, Tony Q. S. Zhejiang Univ Inst Informat & Commun Engn Hangzhou 310027 Peoples R China Informat Network Technol Zhejiang Prov Key Lab Hangzhou 310027 Peoples R China Huawei Technol Co Ltd Shenzhen 518129 Peoples R China Singapore Univ Technol & Design Singapore Singapore

ISBN: (纸本)9781467361873

coverage optimization is an important task, which directly affects the performance of cellular networks. It is difficult to correct the weak coverage and the over coverage simultaneously using existing methods such as adjusting antenna downtilts and/or transmit powers of sectors. In this paper, a novel coverage optimization method based on multi-sector joint beamforming is proposed, so that weak coverage area and over coverage area can be decreased simultaneously. A heuristic algorithm based on the semidefinite relaxation is then developed to obtain antenna array excitation weights with low computational complexity. Simulation results show that the performance of our algorithm is superior to that of antenna downtilt optimization algorithm.

关键词： coverage optimization joint beamforming semidefinite relaxation downtilt optimization

来源：评论

学校读者我要写书评

暂无评论

A Homology Based coverage optimization Algorithm for Wireless Sensor Networks 11th

A Homology Based Coverage Optimization Algorithm for Wireles...

引用

11th EAI Annual International Conference on Ad Hoc Networks (ADHOCNETS)

作者： Xiang, Lei Yan, Feng Zhu, Yaping Xia, Weiwei Shen, Fei Xing, Song Wu, Yi Shen, Lianfeng Southeast Univ Natl Mobile Commun Res Lab Nanjing Peoples R China Chinese Acad Sci Shanghai Inst Microsyst & Informat Technol Shanghai Peoples R China Calif State Univ Los Angeles Dept Informat Syst Los Angeles CA 90032 USA Fujian Normal Univ Key Lab OptoElect Sci & Technol Med Fujian Prov Key Lab Photon Technol Minist Educ Fuzhou Peoples R China

ISBN: (纸本)9783030372620;9783030372613

Simplicial complex provides a precise and tractable representation of the topology of wireless sensor networks. In this paper, a coverage optimization algorithm based on Rips complex is given for the purpose of energy conservation of wireless sensor networks. Considering an area of interest which is covered by sensor nodes completely and even superfluously, our algorithm is performed to turn off redundant sensor nodes effectively in the network while maintaining the coverage consistently. Simulation results show that this distributed algorithm can remove more than 70% internal sensor nodes, and complexity analysis for our algorithm is given.

关键词： coverage optimization Homology Wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

Voronoi-based coverage optimization for Mobile Networks with Limited Sensing Range - A Directional Search Approach

Voronoi-based Coverage Optimization for Mobile Networks with...

引用

American Control Conference 2009

作者： Stergiopoulos, John Tzes, Anthony Univ Patras Dept Elect & Comp Engn Rion 26500 Achaia Greece

ISBN: (纸本)9781424445233

Motion coordination for coverage optimization purposes in mobile networks with limited sensory range is the scope of this paper. The coordination planning is based on Voronoi tessellations by taking into consideration the sensory radius of each agent. optimization is performed in order to increase the total area covered by the network. An online directional-search algorithm is proposed in order to achieve locally optimal coverage. An agent moves inside its region of responsibility in a way that the total area surveyed by the network increases. The online control action makes the network adaptive to possible changes in the environment. Results are compared to schemes that base their action on Centroidal Voronoi Tessellations (CVT).

关键词： Voronoi diagrams coverage optimization directional search

来源：评论

学校读者我要写书评

暂无评论

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

An Adaptive Distributed coverage optimization Scheme in LTE Enterprise Femtocells 22

An Adaptive Distributed Coverage Optimization Scheme in LTE ...

引用

22nd Iranian Conference on Electrical Engineering (ICEE)

作者： Valizadeh, Saeed Reza Abouei, Jamshid Islamic Azad Univ IT Dept Sci & Res Branch Kermanshah Iran Yazd Univ Dept Elect & Comp Engn IEEE Yazd Iran

ISBN: (纸本)9781479944095

Providing an appropriate indoor coverage is still a fundamental challenge for mobile operators, in particular for Long Term Evolution (LTE) enterprise femtocell networks. Femtocells are envisioned to be employed in indoor environments to increase the radio coverage as well as the network capacity. Deployment of a large number of femtocells to collaboratively provide more indoor coverage in an enterprise environment imposes critical challenges in the physical layer design of such a network. Clearly, the coverage optimization of enormous femtocells in a centralized manner is a very cost effective solution. On the other hand, in LTE enterprise networks, each femtocell has a local knowledge (messages received from user equipments) of its own neighbor femtocells. For the above scenario, in this paper, we propose an Adaptive Distributed Femtocell coverage optimization (ADFCO) algorithm in a LTE enterprise environment consisting of N femtocells. The ADFCO algorithm updates the TX power of femtocells and balances the traffic load of each user. In addition, the proposed scheme reduces unwanted handovers and decreases the coverage gaps and overlaps, while maximizes the overall system's capacity. Numerical results, supported by the modified version of the Femtocell Power management Interference Simulator (FePIS) and the realistic parameters in the ITU-R P.1238-7 standard, show that the ADFCO algorithm displays an 1.6 times improvement in the indoor coverage and 50 % enhancement in the overall capacity when compared to the fixed TX power allocation scheme.

关键词： Femtocells coverage optimization handover traffic load balance LTE

来源：评论

学校读者我要写书评

暂无评论

WSN coverage optimization based on Improved Sparrow Search Algorithm 15

WSN Coverage Optimization based on Improved Sparrow Search A...

引用

15th International Conference on Advanced Computational Intelligence (ICACI)

作者： Wang, Jianlan Zhu, Donglin Ding, Zhiguo Gong, Yongkang Jiangxi Univ Sci & Technol Sch Informat Engn Ganzhou 341000 Peoples R China Zhejiang Normal Univ Coll Math & Comp Sci Jinhua 321004 Zhejiang Peoples R China

ISBN: (纸本)9798350321456

In order to solve the problems of node redundancy, low node utilization and low coverage in the coverage of WSN, this article adopts an improved sparrow search algorithm method named ISSA to deal with these problems. Firstly, the good point set population initialization strategy is introduced to replace the random population initialization in the original SSA, so as to make the sparrow population more evenly distributed and increases population diversity. Secondly, improved adaptive learning factor is incorporated into SSA to further update individual position, and then introduce refraction reverse learning strategy to perturb individuals to avoid falling into local optimal, difficult to jump out of. Finally, ISSA is used for dealing with the coverage optimization of WSN. According to the experimental results, ISSA can indeed effectively improve the coverage of WSN, reduce the network node redundancy and the distribution of nodes is therefore more uniform.

关键词： coverage optimization SSA Good point set Adaptive learningfactor Refraction reverse learning

来源：评论

学校读者我要写书评

暂无评论

TOOL FOR coverage: SMART SOFTWARE FOR SAR SATELLITES AREA coverage optimization AND PLANNING

TOOL FOR COVERAGE: SMART SOFTWARE FOR SAR SATELLITES AREA CO...

引用

IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Cricenti, Alessandro Rizzato, Davide Carnevale, Flavia Di Giorgio, Fabio Occhigrossi, Silvia Calabrese, Diego Thales Alenia Space Italia Via Saccomuro 24 I-00131 Rome Italy

ISBN: (纸本)9781479979295

This article illustrates a novel approach for planning user defined Earth's areas coverage by satellites with Synthetic Aperture Radar (SAR) payloads, optimizing the strategy related to acquisition scheduling. A dedicated coverage planning algorithm is implemented in a user-friendly proprietary software called Tool For coverage (TFC). The TFC user has the freedom to configure any Earth Observation (EO) space mission with SAR satellites, defining the characteristics of the satellite such as the orbit, the parameters of the SAR beams, the operational modes and the Area of Interest to be covered. In a short time, TFC allows to obtain optimal acquisitions lists that satisfies the total coverage of that area.

关键词： SAR area coverage planning coverage optimization

来源：评论

学校读者我要写书评

暂无评论

Wireless Sensor Network coverage optimization Based on Sparrow Search Algorithm 10th

Wireless Sensor Network Coverage Optimization Based on Sparr...

引用

10th International Conference on Communications, Signal Processing, and Systems

作者： Wang, Zehua Wang, Shubin Tang, Haifeng Inner Mongolia Univ Coll Elect Informat Engn Hohhot Peoples R China

ISBN: (纸本)9789811903908;9789811903892

To effectively solve the problem of insufficient node coverage in wireless sensor networks, a network coverage optimization method based on a hybrid strategy to improve the sparrow search algorithm named CF-SSA is proposed. Firstly, a logistic chaotic mapping is introduced to increase the population diversity and thus improve the search speed of the algorithm. Secondly, a hybrid strategy of Cauchy variance factor and firefly perturbation is introduced in the local search phase of the algorithm, which enables the algorithm to effectively jump out of the local optimum. Finally, the improved algorithm is applied to wireless sensor network coverage optimization. The simulation results show that CF-SSA improves wireless sensor network coverage and optimizes more uniform node distribution compared to other optimization algorithms.

关键词： coverage optimization Sparrow search algorithms Logistic chaos Cauchy variance Firefly disturbance

来源：评论

学校读者我要写书评

暂无评论

Distributed coverage optimization for Small Cell Clusters using Game Theory

Distributed Coverage Optimization for Small Cell Clusters us...

引用

IEEE Wireless Communications and Networking Conference (WCNC)

作者： Huang, Liang Zhou, Yiqing Han, Xue Wang, Yuanyuan Qian, Manli Shi, Jinglin Chinese Acad Sci Inst Comp Technol Wireless Commun Technol Res Ctr Beijing 100190 Peoples R China

ISBN: (纸本)9781467359399;9781467359382

Small cell cluster is a new paradigm to extend the usage of small cells from residential environment to large indoor or outdoor areas. However, coverage optimization is a challenge due to the ad-hoc deployment and plug-and-play feature of small cells. This paper considers decentralized self-optimization network (SON) architecture of small cell cluster and proposes distributed coverage optimization algorithm using game theory (DGT). A non-cooperate game is modeled to tune the Tx power of each small cell with a net utility function considering both gain of throughput and punishment of interference. Nash Equilibrium (NE) is proved to be existed in the game and a power update scheme is proposed which converges to the NE. Simulation results show that DGT can significantly improve throughput as well as coverage ratio with only several iterations. Compared with centralized algorithm such as modified particle swarm optimization (MPSO) and simulated annealing (SA), DGT algorithm reaches higher network throughput, uses less iteration and keeps considerable coverage ratio.

关键词： Small Cell Small Cell Cluster coverage optimization Throughput coverage Ratio Game Theory

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：