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Global coverage Maximization in PTZ-Camera Networks Based on Visual Quality Assessment

IEEE SENSORS JOURNAL 2016年第16期16卷 6317-6332页

作者： Konda, Krishna Reddy Conci, Nicola De Natale, Francesco Univ Trento Dept Informat Engn & Comp Sci I-38123 Trento Italy

In this paper, we propose a novel method to automatically configure a pan-tilt-zoom camera network in order to maximize coverage and visual quality in complex indoor environments. Based on a suitable modeling of cameras and environment, the optimization procedure determines the most appropriate camera position and settings to fulfill a given coverage objective. To achieve this goal, we use a particle swarm optimizer with an appropriate fitness function that takes into account a number of concurrent metrics and constraints. Furthermore, the solution is found working into a simulated environment obtained with the ray-tracing software. The proposed solution has been tested in various synthetic and real environments, taking into account the presence of obstacles and other constraints. We also simulated dynamic situations, such as cameras failures, to test the capability of fast camera network reconfiguration. For the performance evaluation, and in addition to the simulation in virtual scenes, we have also conducted a validation phase in real-world scenarios, where we assessed how the introduction on the optimal configuration improves the solution of some typical computer vision tasks.

关键词： Distributed camera networks particle swarm optimization coverage optimization

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coverage optimization and Spatial Load Balancing by Robotic Sensor Networks

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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 2010年第3期55卷 749-754页

作者： Cortes, Jorge Univ Calif San Diego Dept Mech & Aerosp Engn La Jolla CA 92093 USA

This technical note studies robotic sensor networks performing static coverage optimization with area constraints. Given a density function describing the probability of events happening and a performance function measuring the cost to service a location, the objective is to position sensors in the environment so as to minimize the expected servicing cost. Moreover, because of load balancing considerations, the area of the region assigned to each robot is constrained to be a pre-specified amount. We characterize the optimal configurations as center generalized Voronoi configurations. The generalized Voronoi partition depends on a set of weights, one per robot, assigned to the network. We design a Jacobi iterative algorithm to find the weight assignment whose corresponding generalized Voronoi partition satisfies the area constraints. This algorithm is distributed over the generalized Delaunay graph. We also design the "move-to-center-and-compute-weight" strategy to steer the robotic network towards the set of center generalized Voronoi configurations while monotonically optimizing coverage.

关键词： coverage optimization generalized Voronoi partitions robotic sensor networks servicing problems space partitioning

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Joint Load Balancing and coverage Optimizing Based on Tilt Adjusting in LTE Networks 1

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2nd International Conference on Nature of Computation and Communication (ICTCC)

作者： Phan NhuQuan Jiang Huilin Bui ThiOanh Pei, Li Pan Zhiwen Nan, Liu Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Jiangsu Peoples R China Lac Hong Univ Fac Mechatron Elect Bien Hoa City 810000 Vietnam

ISBN: (数字)9783319469096

ISBN: (纸本)9783319469096;9783319469089

The coverage optimization and Load Balancing (LB) for LTE networks based on adjusting Antenna Tilt Angle (ATA) of the cell are investigated. The network coverage is presented by the coverage Factor (CF), which is defined as the ratio of the served user number to the total user number. The level of LB is evaluated by the Load Balancing Index (LBI). Both of the CF and the LBI are optimized by adjusting the tilt angle based on the Modified Particle Swarm optimization (MPSO) algorithm. Simulation results show that the CF of our algorithm can obtain 98 %. The LBI, the network bandwidth efficiency and the system throughput are appreciably improved.

关键词： Antenna Tilt Angle coverage optimization Modified Particle Swarm optimization Load Balancing

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coverage optimization for Minimization of Drive Tests in LTE with Extended RLF Reporting

Coverage Optimization for Minimization of Drive Tests in LTE...

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21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Puttonen, Jani Turkka, Jussi Alanen, Olli Kurjenniemi, Janne Magister Solut Ltd Jyvaskyla 40700 Finland

ISBN: (纸本)9781424480166

In this article we have studied the coverage optimization for 3G Long Term Evolution (LTE) according to Minimization of Drive Tests (MDT) work item description in Third Generation Partnership Project (3GPP). Target for the MDT work item is to define a set of measurements and measurement reporting procedures, so that operators are able to collect measurement data from users and thereby reducing need for manual drive tests. The main focus of MDT is coverage optimization. We propose an extended Radio Link Failure (RLF) reporting for both coverage and mobility optimization use cases for MDT. In this paper the MDT studies and especially the benefits of extended RLF reporting and classification are analyzed by means of dynamic system level simulations. The RLFs are classified into three categories based on the content in extended RLF reports: coverage, handover parameterization and interference problem. It can be concluded that the coverage as well as other problems may be identified with quite high probability with only a minimal standardization effort.

关键词： 3G Long Term Evolution 3G mobile communication 3G partnership project LTE Long Term Evolution MDT coverage optimization extended RLF reporting failure analysis minimization of drive test mobility optimization optimisation probability probability radio link failure radio links

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Bayesian coverage optimization models

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JOURNAL OF COMBINATORIAL optimization 2010年第2期19卷 158-173页

作者： Cochran, James J. Levy, Martin S. Camm, Jeffrey D. Louisiana Tech Univ Dept Mkt & Anal Ruston LA 71272 USA Univ Cincinnati Dept Quantitat Anal & Operat Management Cincinnati OH 45221 USA

Finding a subset collection that provides optimal population coverage is a frequently encountered deterministic problem. A random sample is often used to formulate the optimal coverage (OC) model, which is then used to select the subsets that provide the estimated optimal population coverage. Such problems are ubiquitous and occur in both the public and private sectors;examples include media selection, placement of municipal services such as sirens and waste dumps, and reserve site selection. Conceptualizing sample elements as counts in a contingency table, we show how decision-makers can combine prior information with sample data to help formulate OC models. We consider conjugate and vague priors with classical and empirical Bayesian interpretations. We show that the predictive approach yields a common marketing exposure model that has previously been justified empirically. Finally, we demonstrate the potential importance of our results on problems generated from a well-known example from the literature.

关键词： coverage optimization Statistical estimation Bayesian statistics

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A Survey on Barrier coverage Problem in Directional Sensor Networks

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IEEE SENSORS JOURNAL 2015年第2期15卷 876-885页

作者： Tao, Dan Wu, Tin-Yu Beijing Jiaotong Univ Sch Elect & Informat Engn Beijing 100044 Peoples R China Natl Ilan Univ Dept Comp Sci & Informat Engn Yilan 26041 Taiwan

Barrier coverage guarantees to detect any intruder attempting to cross the barrier of sensor networks. In the majority of studies on barrier coverage using wireless sensor networks, sensors are assumed to have an isotropic sensing model. However, in certain applications like monitoring a region using video cameras, the sensors have directional sensing model. The nature of directional sensor networks demands novel algorithms and solutions. In directional sensor networks, this paper starts from the concept and characteristics of a directional sensing model, and then summarizes the sensing properties and behaviors of directional sensors. In particular, we classify the existing research results into different categories, such as strong barrier and weak barrier, 1-barrier and k-barrier, worst and best-case coverage and exposure path coverage, any-view coverage and full-view coverage, and overview each category in terms of problem definition, assumption, usage, solution, and performance. Finally, the open research problems to be solved and future work are also discussed.

关键词： Directional sensor networks barrier coverage coverage optimization directional sensor directional sensing model field-of-view

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OPTIMAL ONE-DIMENSIONAL coverage BY UNRELIABLE SENSORS

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SIAM JOURNAL ON CONTROL AND optimization 2015年第5期53卷 3120-3140页

作者： Frasca, Paolo Garin, Federica Gerencser, Balazs Hendrickx, Julien M. Univ Twente Dept Appl Math NL-7500 AE Enschede Netherlands Univ Grenoble Alpes GIPSA Lab INRIA F-38000 Grenoble France CNRS GIPSA Lab F-38000 Grenoble France Catholic Univ Louvain ICTEAM Inst Louvain Belgium

This paper regards the problem of optimally placing unreliable sensors in a one-dimensional environment. We assume that sensors can fail with a certain probability and we minimize the expected maximum distance between any point in the environment and the closest active sensor. We provide a computational method to find the optimal placement and we estimate the costs of the equispaced placement and of the uniform random placement. When the number of sensors goes to infinity, the equispaced placement is asymptotically equivalent to the optimal placement (that is, the ratio between their costs converges to one), whereas the cost of the random placement remains strictly larger.

关键词： sensor networks coverage optimization unreliable sensors sensor deployment robotic networks

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

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

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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

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Evolving Femtocell coverage optimization Algorithms using Genetic Programming

Evolving Femtocell Coverage Optimization Algorithms using Ge...

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20th IEEE Symposium on Personal, Indoor and Mobile Radio Communications

作者： Ho, Lester T. W. Ashraf, Imran Claussen, Holger Alcatel Lucent Bell Labs Swindon Wilts England

ISBN: (纸本)9781424451234

The use of a group of femtocells to jointly provide coverage in an enterprise environment introduces several challenges in the introduction of self-configuration and self-optimization capabilities required for plug-and-play styles of deployment. In this paper, an approach to automatically derive a distributed algorithm to dynamically optimize the coverage of a femtocell group using genetic programming is described. The resulting evolved algorithm showed the ability to optimize the coverage well, and is able to offer increased overall network capacity compared with a fixed coverage femtocell deployment.

关键词： Femtocell coverage optimization genetic programming self-organizing networks

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optimization of piezoelectric cantilever energy harvesters including non-linear effects

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SMART MATERIALS AND STRUCTURES 2014年第8期23卷

作者： Patel, R. McWilliam, S. Popov, A. A. Univ Nottingham Dept Mech Mat & Mfg Engn Nottingham NG7 2RD England Univ Nottingham Dept Mech Mat & Mfg Engn Semenyih Malaysia

This paper proposes a versatile non-linear model for predicting piezoelectric energy harvester performance. The presented model includes (i) material non-linearity, for both substrate and piezoelectric layers, and (ii) geometric non-linearity incorporated by assuming inextensibility and accurately representing beam curvature. The addition of a sub-model, which utilizes the transfer matrix method to predict eigenfrequencies and eigenvectors for segmented beams, allows for accurate optimization of piezoelectric layer coverage. A validation of the overall theoretical model is performed through experimental testing on both uniform and non-uniform samples manufactured in-house. For the harvester composition used in this work, the magnitude of material non-linearity exhibited by the piezoelectric layer is 35 times greater than that of the substrate layer. It is also observed that material non-linearity, responsible for reductions in resonant frequency with increases in base acceleration, is dominant over geometric non-linearity for standard piezoelectric harvesting devices. Finally, over the tested range, energy loss due to damping is found to increase in a quasi-linear fashion with base acceleration. During an optimization study on piezoelectric layer coverage, results from the developed model were compared with those from a linear model. Unbiased comparisons between harvesters were realized by using devices with identical natural frequencies-created by adjusting the device substrate thickness. Results from three studies, each with a different assumption on mechanical damping variations, are presented. Findings showed that, depending on damping variation, a non-linear model is essential for such optimization studies with each model predicting vastly differing optimum configurations.

关键词： energy harvesting piezoelectric beam geometric non-linearity material non-linearity coverage optimization mechanical damping

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