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An Efficient Stochastic Gradient Descent Algorithm to Maximize the coverage of Cellular Networks

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2019年第7期18卷 3424-3436页

作者： Liu, Yaxi Wei Huangfu Zhang, Haijun Long, Keping Univ Sci & Technol Beijing Beijing Engn & Technol Res Ctr Convergence Networ Inst Artificial Intelligence Beijing Adv Innovat Ctr Mat Genome Engn Beijing 100083 Peoples R China

Network coverage and capacity optimization is an important operational task in cellular networks. The network coverage maximization by adjusting azimuths and tilts of antennas is focused and the existing approaches are mainly gradient-free methods. A standard gradient descent algorithm and its improved version, namely a Stochastic Gradient Descent (SGD) algorithm are proposed on the basis of a novel coverage indicator, named as the soft coverage indicator, to approximate the hard version of the original coverage indicator. We prove that the gradient vector is sparse, which accelerates gradient calculation, due to the number limitation of base stations within a specific distance from a given sampling point even if there are many decision variables of azimuths and tilts. Also, the SGD algorithm only requires a small amount of computation based on cheap estimates of the gradients, and thus is applicable to large-scale networks in an efficient manner. The experiments show that the proposed approaches perform well both in their near-optimal solutions and in their computation efficiency compared with the meta-heuristic algorithms. The extensibility and practicality of the proposed algorithms are also discussed.

关键词： Cellular network coverage optimization gradient descent stochastic gradient descent computational complexity

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Graph Signal Processing-Based Network Health Estimation for Next Generation Wireless Systems

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IEEE COMMUNICATIONS LETTERS 2019年第1期23卷 104-107页

作者： Yaseen, Faisal Masood, Usama Hassan, Ahmad Nayyar Naqvi, Ijaz Haider Lahore Univ Management Sci Lahore 54792 Pakistan Univ Oklahoma Tulsa OK 74135 USA Univ Waterloo Waterloo ON N2L 3G1 Canada

In this letter, we propose a novel network health estimation technique for wireless cellular networks. The proposed scheme makes use of graph signal processing techniques to estimate network health over the entire coverage area with sparse availability of measured data. To achieve this objective, we solve an optimization problem on graph using proximal splitting method. The results show that the proposed technique outperforms existing methods such as kriging for network health estimation with an improved accuracy of more than 60% along with a reduced time complexity of O(n) compared with O(n(4)) for kriging. Thereafter, coverage holes present in the network are found with an extremely high detection rate and extremely low false positive rate. The results, unlike kriging, are devoid of any spatial bias present in the training data.

关键词： Graph signal processing (GSP) proximal splitting network health estimation coverage optimization

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Efficient Area coverage in Wireless Sensor Networks Using Optimal Scheduling

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WIRELESS PERSONAL COMMUNICATIONS 2019年第2期107卷 1187-1198页

作者： Choudhuri, Ritamshirsa Das, Rajib K. Univ Calcutta Dept Comp Sci & Engn Kolkata India

Wireless sensor networks generally have unique lifetime necessities. In any case, the density of the sensors may not be sufficiently substantial to fulfil the coverage requirement while meeting the lifetime constraint in the mean time. Once in a while coverage has to be traded for network lifetime. The proposed efficient pipeline based spatial temporal optimization scheduling for coverage optimization satisfies the coverage problem while meeting the lifetime constraint at the same time. In the proposed optimal scheduling, initially number of nodes in the network is clustered by using energy based one hop clustering algorithm. After the formation of clusters pipeline based spatial temporal optimization algorithm is used for the optimal scheduling. Here the optimization is improved by using trust of each sensor nodes and the area of clusters. Finally, data is aggregated through the optimally scheduled cluster nodes. The experimental results show that our proposed optimization scheduling substantially outperforms other schemes in terms of network lifetime, coverage redundancy and convergence time.

关键词： Clustering Trust calculation coverage optimization Scheduling Network lifetime

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Sensor-assisted coverage Self-optimization for Wireless Local Area Network

Sensor-assisted Coverage Self-Optimization for Wireless Loca...

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22nd Wireless and Optical Communications Conference (WOCC)

作者： Zhou, Yuan Luo, Zezhou Zhuang, Hongcheng Huawei Technol Co Ltd Commun Technol Lab Shenzhen Peoples R China

ISBN: (纸本)9781467356978;9781467356992

coverage optimization is a big challenge for wireless local area network (WLAN) deployment. The most common problems in coverage are coverage hole and interference. Traditional approaches exploit knowledge of the propagation environment to obtain static network planning and optimization, thus are not adaptable to the changes of environment and network topology. In this paper, a coverage self-optimization solution is proposed for WLAN, which adjusts the power of each beam of access points based on sensor measurement, and the Received Signal Strength (RSS) and Signal-to-Interference ratio (SIR) targets of the sensors to self-optimize coverage performance. Simulation shows that by implementing the proposed solution, coverage problems can be identified and solved adaptively.

关键词： coverage optimization self-optimization wireless local access network sensor

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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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An Improved Method of WSN coverage Based on Enhanced PSO Algorithm 8

An Improved Method of WSN Coverage Based on Enhanced PSO Alg...

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IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)

作者： Kong, Hongshan Yu, Bin Zhengzhou Inst Sci & Technol Zhengzhou Henan Peoples R China

ISBN: (纸本)9781538681787

Aimed at the unreasonable distribution of sensors' random deployment, an improved method of WSN coverage based on enhanced PSO algorithm is presented. The dynamic adjustment of inertia coefficient and mutation operator are introduced to improve the standard PSO algorithm, which can improve the global convergence speed and particle diversity, and can avoid falling into local convergence. The enhanced PSO algorithm is applied to the optimization of WSN coverage, which can increase the maximum coverage. According to the simulation results, compared with PSO in coverage, the enhanced algorithm is superior.

关键词： Wireless sensor Network Particle swarm optimization coverage optimization coverage rate

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Camera positioning for global and local coverage optimization

Camera positioning for global and local coverage optimizatio...

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6th International Conference on Distributed Smart Cameras (ICDSC)

作者： Reddy, Krishna Konda Conci, Nicola Univ Trento Dept Engn & Comp Sci DISI Trento Italy

ISBN: (纸本)9781450317726

In this paper, a novel method for optimum video camera positioning is presented, which maximizes visual coverage in complex indoor environments. Based on a suitable modeling of the camera field-of-view and of the environmental setup, the optimization procedure determines the most appropriate configuration of the sensors to satisfy a coverage target. The final configuration is achieved through the particle swarm optimizer (PSO). The proposed solution has been validated in different setups, taking into account the presence of obstacles, as well as various global and target coverage objectives. Results are provided for different configurations or real environments.

关键词： Distributed camera networks particle swarm optimization coverage optimization

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Optimal Sensor Placement for Monitoring of Spatial Networks

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IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING 2018年第1期15卷 33-44页

作者： Krishnamurthy, Prashanth Khorrami, Farshad NYU Polytech Sch Engn Dept Elect & Comp Engn Control Robot Res Lab Brooklyn NY 11201 USA FarCo Technol Inc Brooklyn NY 11201 USA

The problem of optimal placement of sensors for monitoring a spatial network (e.g., a road network with moving ground targets or intruders) is considered in this paper. In particular, the optimization of locations of a set of sensors (that can each obtain measurements in a local region around the sensor location) is considered so as to maximize an overall sensor coverage metric defined over the spatial network. The sensor coverage optimality metric for spatial network coverage is based on a novel formulation of a sensor influence wave based on a spatiotemporal model of the measurement reach of a set of sensors given a spatial network topology, a probabilistic model of target movements on the network, and spatial weight maps that model the relative importance/utility of different locations in the spatial region. The sensor placement optimization is based on an iterative genetic algorithm for the optimization of a scalar metric computed from the spatial integration of the sensor influence wave. The efficacy of the proposed approach is demonstrated through simulation studies for several road network geometries. Note to Practitioners-This paper considers the problem of finding optimal locations for sensors for monitoring a spatial network for moving targets (e.g., a road network with moving ground targets or intruders). Sensor-based monitoring of a spatial region is relevant in a variety of applications (including, in general, such diverse application areas as traffic monitoring in transportation applications, intruder monitoring, surveillance, power systems monitoring, structural health monitoring, etc). This paper offers two primary novel aspects: an optimality metric formulation for target monitoring effectiveness on spatial networks and an iterative genetic algorithm-based method for optimization of the sensor placement configuration. The proposed approach enables addressing of multiple spatial criteria within a unified framework, including the probabilistic charact

关键词： coverage optimization road networks sensor networks sensor placement spatial monitoring

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Sensor-assisted coverage Self-optimization for Wireless Local Area Network

Sensor-assisted Coverage Self-Optimization for Wireless Loca...

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2013 22nd Wireless and Optical Communication Conference

作者： Yuan Zhou Zezhou Luo Hongcheng Zhuang Communication Technologies Lab.Huawei Technologies Co. Ltd.

ISBN: (纸本)9781467356985

coverage optimization is a big challenge for wireless local area network(WLAN) *** most common problems in coverage are coverage hole and *** approaches exploit knowledge of the propagation environment to obtain static network planning and optimization,thus are not adaptable to the changes of environment and network *** this paper,a coverage self-optimization solution is proposed for WLAN,which adjusts the power of each beam of access points based on sensor measurement,and the Received Signal Strength(RSS) and Signal-to-Interference ratio(SIR) targets of the sensors to self-optimize coverage *** shows that by implementing the proposed solution,coverage problems can be identified and solved adaptively.

关键词： coverage optimization self-optimization wireless local access network sensor

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optimization of the MANET Topology in Urban Area Using Redundant Relay Points

Optimization of the MANET Topology in Urban Area Using Redun...

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International Conference on Military Communications and Information Systems (ICMCIS)

作者： Malon, Krzygitof Skokowski, Pawel Lopatka, Jerzy Mil Univ Technol Inst Telecommun Warsaw Poland

ISBN: (纸本)9781538645598

Mobile ad-hoc networks become a standard architecture for wireless tactic networks. Due to possibility of signal relay, achieved ranges are larger, required output power is smaller and overall network throughput is also improved. However in urban areas, achieved ranges of communication may be very low because of terrain shape, buildings and other obstacles. It can cause 'black holes' - areas with limited communications or even lack of possibility to exchange information. The elaborated solution enables determination of such 'black holes' and proposes an optimum localization of redundant relay points, to increase overall performance of the network.

关键词： mobile ad-hoc networks redundant points coverage optimization Radio Environment Map

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