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WHOMoVeS: An optimized broadband sensor network for military vehicle tracking

INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS 2008年第3期21卷 277-300页

作者： Hamdi, Mohamed Boudriga, Noureddine Obaidat, Mohammad S. Communication Networks and Security Research Lab University of 7th of November at Carthage Tunisia

With the advance of sensing technologies and their applications, advanced sensor networks are gaining increasing interest. For certain sensitive applications, heterogeneous sensors can be deployed in the monitored space to ensure scalability, high-speed communication, and long network lifetime. Hybrid sensor networks have capabilities to combine the use of both resource-rich and resource-impoverished sensor nodes. This paper proposes a heterogeneous broadband sensor network architecture for military vehicle tracking. Powerful sensor devices with good bandwidth and energy capabilities are used as a communication backbone while energy sensors are used to track moving targets. Copyright (C) 2007 John Wiley & Sons, Ltd.

关键词： wireless sensor networks coverage optimization alert management mobility target tracking

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A wireless sensor node deployment scheme based on embedded virtual force resampling particle swarm optimization algorithm

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APPLIED INTELLIGENCE 2022年第7期52卷 7420-7441页

作者： Qi, Xiaogang Li, Zhinan Chen, Chen Liu, Lifang Xidian Univ Sch Math & Stat Xian 710071 Shaanxi Peoples R China Xidian Univ Sch Comp Sci & Technol Xian 710071 Shaanxi Peoples R China

In recent years, wireless sensor network (WSN) has been widely used in many fields. Network coverage is the basis of providing perception services and collecting location information and has become one of the hot topics. For node deployment, this paper proposes two algorithms. One is an improved virtual force (VF) algorithm. The virtual forces of nodes include repulsive force between nodes and repulsive force at the boundary. The improved VF algorithm sets the virtual force threshold. The other is the resampling particle swarm optimization algorithm embedded with virtual force (RPSO-DV). The algorithm combines the advantages of three algorithms, including resampling particle swarm optimization (RPSO) algorithm, particle swarm optimization algorithm based on coefficient adjustment (PSO-D) and improved VF algorithm. In this paper, the two proposed algorithms and reference algorithms in the pieces of literature and are simulated and compared. Firstly, this paper compares the impact of different node numbers and deployment modes on coverage performance in the improved VF algorithm. The simulation shows that the improved VF algorithm can make the network reach a stable state quickly and achieve a high coverage rate. Secondly, this paper lists the confidence intervals for the coverage rate of multiple algorithms at the significance level of 0.05. At the same time, we analyze the specific coverage rate curves and deployment diagrams. The simulation results show that our proposed RPSO-DV algorithm improves the diversity of the population and speeds up the convergence speed. Compared with other reference algorithms, the RPSO-DV algorithm has the highest coverage rate. Finally, this paper analyzes the sensitivity of the parameters of the proposed RPSO-DV algorithm. According to the orthogonal experiment design method, we design 64 sets of experiments. The simulation results show that the algorithm has a certain tolerance and robustness to parameter values.

关键词： Resampling particle swarm optimization Virtual force Node deployment coverage optimization

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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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Adaptive and Probabilistic Power Control Algorithms for RFID Reader Networks

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INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS 2008年第4期4卷 347-368页

作者： Cha, Kainan Ramachandran, Anil Jagannathan, Sarangapani Univ Missouri Dept Elect & Comp Engn Rolla MO 65401 USA

In radio frequency identification (RFID) systems, the detection range and read rates will suffer from interference among high power reading devices. This problem grows severely and degrades system performance in dense RFID networks. Consequently, medium access protocols (MAC) protocols are needed for such networks to assess and provide access to the channel so that tags can be read accurately. In this paper, we investigate a suite of feasible power control schemes to ensure overall coverage area of the system while maintaining a desired read rate. The power control scheme and MAC protocol dynamically adjusts the RFID reader power output in response to the interference level seen during tag reading and acceptable signal-to-noise ratio (SNR). We present novel distributed adaptive power control (DAPC) and probabilistic power control (PPC) as two possible solutions. A suitable back off scheme is also added with DAPC to improve coverage. Both the methodology and implementation of the schemes are presented, simulated, compared, and discussed for further work.

关键词： Radio Frequency Identification Reader Collision Frequency Interference Distributed Power Control coverage optimization

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

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

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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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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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Nodes Deployment Algorithm Based on Data Fusion and Evidence Theory in Wireless Sensor Networks

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WIRELESS PERSONAL COMMUNICATIONS 2021年第2期116卷 1481-1492页

作者： Li, Qiangyi Liu, Ningzhong Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing 211106 Jiangsu Peoples R China MIIT Key Lab Pattern Anal & Machine Intelligence Nanjing 211106 Jiangsu Peoples R China

Wireless sensor networks have been widely researched and developed in recent years. The node deployment problem is a multi-dimensional nonlinear optimization problem with continuous discrete variables. In order to improve the coverage effect of wireless sensor networks, a network coverage algorithm based on evidence theory is proposed. The motion direction of the wireless sensor node is calculated. The wireless sensor node is moved to the area with low perception probability. Improve the network coverage effect. Reduce the moving distance of wireless sensor nodes. Extended the service time of wireless sensor network. The simulation results show that this algorithm can improve the coverage effect of the monitoring area and reduce the moving distance of nodes effectively.

关键词： Nodes deployment algorithm Data fusion Evidence theory Wireless sensor networks coverage optimization

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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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A Node Deployment optimization Algorithm of WSNs Based on Improved Moth Flame Search

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IEEE SENSORS JOURNAL 2022年第10期22卷 10018-10030页

作者： Yao, Yindi Hu, Shanshan Li, Ying Wen, Qin Xian Univ Posts & Telecommun Sch Commun & Informat Engn Xian 710121 Peoples R China Shaanxi Key Lab Informat Commun Network & Secur Xian 710121 Peoples R China Univ Posts & Telecommun Xian 710121 Peoples R China

Wireless sensor networks, one of the basic technologies of remote environmental monitoring, can provide efficient sensing and communication services under limited energy supply. coverage control is an important method to ensure efficient communication and reliable data trans- mission. Given the complex physical environments, which impede the energy supplement and recovery of sensor nodes, the motivation of our research is to repair the coverage holes and reduce the energy consumption during the deployment of sensor nodes. Firstly, the variable spiral position update and the adaptive inertia weight strategy are adopted to improve local development and global search ability of the moth flame algorithm. Secondly, we analyze the virtual force of nodes, including the attractive force of uncovered grid points, the virtual force between adjacent sensor nodes and the repulsive force of boundary. The node resultant force is used as the disturbance factor of moth position updating to optimize the path, which effectively avoids the "premature" problem of the algorithm and accelerates global convergence. Finally, moth search is used to guide nodes to move to the area with coverage holes to achieve coverage optimization. In addition, we limit the random walking range of moths to reduce the moving distance. The simulation results show that compared with VFPSO, VFA and MFO algorithms, the coverage rate of VF-IMFO algorithm is increased by 7.16%, 3.85% and 22.2%, and the average moving distance of nodes is reduced by 9.01 m, 0.51 m and 32.46 m respectively. Moreover, under different deployment environments, the VF-IMFO algorithm still maintains remarkable performance advantages.

关键词： coverage optimization disturbance factor moth flame optimization algorithm wireless sensor networks

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