Article
Computer Science, Information Systems
Xuelian Cai, Luqiao Wang, Yilong Hui, Yue Chen, Wenwei Yue, Hui Wang, Yao Zhang, Nan Cheng, Changle Li
Summary: This study proposes a sensor redeployment scheme based on minimum exposure path (MEP) to optimize the coverage performance of directional sensor networks (DSNs). The minimum exposure path is obtained using a particle swarm optimization (MEP-PSO) algorithm, and the optimal deployment locations and dispatch sensors are determined using an MEP-based coverage optimization (MEP-CO) algorithm. The proposed scheme significantly improves the minimum exposure value (MEV) and coverage ratio of the monitoring area compared to existing algorithms.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Yin-Di Yao, Qin Wen, Yan-Peng Cui, Bo-Zhan Zhao
Summary: This article discusses the significance of coverage of interest points in directional sensor networks and proposes a coverage enhancement strategy based on discrete army ant search optimizer. Experimental results demonstrate the effectiveness of this method in coverage effect.
IEEE SENSORS LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Yin-Di Yao, Qin Wen, Yan-Peng Cui, Feng Zhao, Bo-Zhan Zhao, Yao-Ping Zeng
Summary: Wireless Multimedia Sensor Networks (WMSNs) focus on information-intensive data collection in remote environments. This article proposes a novel swarm intelligence technology called Army Ant Search Optimizer (AASO) inspired by army ant preying behavior to maximize coverage rate in WMSNs. The simulation results show that AASO performs well in exploration and exploitation and has better coverage effects compared to existing approaches.
IEEE SENSORS JOURNAL
(2022)
Article
Computer Science, Hardware & Architecture
Elham Golrasan, Marzieh Varposhti
Summary: This study investigates the problem of self-deployment and working direction adjustment in directional sensor networks in order to maximize the covered area. By considering the tradeoff between energy consumption and coverage quality, the problem is formulated as a finite strategic game, and a distributed payoff-based learning algorithm is proposed to achieve Nash equilibrium. Simulation results demonstrate the superiority of the proposed algorithm over previous approaches in terms of increasing the area coverage.
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Engineering, Electrical & Electronic
Yindi Yao, Huanmin Liao, Min Liu, Xuan Yang
Summary: This article proposes a coverage optimization strategy for 3-D wireless sensor networks (WSNs) based on the improved sparrow search algorithm (ISSA). The strategy aims to improve coverage quality and ensure connectivity using fewer nodes. By designing a safety threshold attenuation function and a stagnation update mechanism, the shortcomings of the sparrow search algorithm (SSA) are addressed. The optimal threshold of the 3-D virtual force is deduced to minimize network energy consumption and ensure applicability in 3-D WSNs. Simulation results show that the ISSA algorithm outperforms the SSA, 3-D virtual force algorithm (3DVFA), and virtual force-directed particle swarm optimization (VFPSO) algorithms in terms of coverage rate, connectivity, and moving distance.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Babak Mahmoudi, Homayun Motameni, Hosein Mohamadi
Summary: The target coverage problem in directional sensor networks is a major challenge due to their limited angle of view. Multiple sensors are required for coverage, but changes in sensor availability due to various factors can result in an under-provisioned network. This paper proposes a hybrid model that integrates a genetic algorithm (GA) and Tabu search (TS) to identify a subset of sensors with appropriate working directions for balanced coverage. Experimental results demonstrate the superiority of the algorithm compared to greedy and learning automat-based algorithms.
IET COMMUNICATIONS
(2023)
Article
Mathematical & Computational Biology
Zhiyang Ju, Hui Zhang, Ying Tan, Xiang Chen
Summary: This paper discusses the control design of mobile sensors for coverage problem, proposing a new control methodology that utilizes a gradient-based non-smooth motion controller to ensure that sensor states always remain in a positive invariant set and converge to a critical point where the gradient is zero.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Gong Chen, Yonghua Xiong, Jinhua She, Min Wu, Krzysztof Galkowski
Summary: This paper discusses the construction of target-barriers in wireless sensor networks, introducing the Virtual Target-barrier Construction (VTBC) method and using a distributed particle swarm optimization algorithm to achieve optimal coverage of closed virtual barrier curves. Simulation results demonstrate that VTBC outperforms other methods.
IEEE SENSORS JOURNAL
(2021)
Article
Computer Science, Information Systems
Xueyang Hu, Tian Liu, Tao Shu
Summary: This article proposes a new coverage model called (k, alpha)-coverage for intelligent surface (RIS) to overcome the performance degradation in millimeter-wave (mmWave) directional communication. By considering the impact of path direction difference, the proposed model increases the robustness of mmWave communication by providing alternative non line-of-sight (NLoS) paths when the line-of-sight is blocked. The article also presents methods for deterministic and random RIS deployment schemes and provides simulation results to validate the effectiveness of the proposed model.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Computer Science, Information Systems
Zhimin Liu, Zuoqing Cao, Shukun Liu, Pinial Khan Butt
Summary: This paper studies the measurement indicator of coverage quality in directional sensor networks. Partial coverage can be more energy-efficient by scheduling sensor working status. The paper also addresses the issues of irregular obstacles and border effects on coverage contribution, and introduces the concept of critical sensor density.
Article
Computer Science, Theory & Methods
Abolghasem Alibeiki, Homayun Motameni, Hosein Mohamadi
Summary: This paper focuses on the target k-coverage problem in directional sensor networks. A genetic-based algorithm is proposed to solve the problem, and experiments show that the algorithm is efficient in both over-provisioned and under-provisioned environments.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
(2021)
Article
Engineering, Electrical & Electronic
Pei Xu, Jianguo Wu, Chih-Yung Chang, Cuijuan Shang, Diptendu Sinha Roy
Summary: This paper introduces a barrier coverage algorithm, MCDP, which considers rechargeable solar-powered sensors and uses the Probability Sensing Model to maximize surveillance quality while achieving perpetual network lifetime in WSNs. The algorithm partitions the time line and monitoring region into space time points, calculates detection probabilities, and schedules sensors to maximize cooperative surveillance quality. Experimental results show that the proposed MCDP algorithm outperforms existing work in surveillance quality, stability, and fault tolerance.
IEEE SENSORS JOURNAL
(2021)
Article
Chemistry, Analytical
Gong Cheng, Huangfu Wei
Summary: An optimization coverage scheme with a boundary constraint of eliminating redundancy for Directional Sensor Networks (DSNs) is proposed, and a Virtual Angle Boundary-aware Particle Swarm Optimization (VAB-PSO) algorithm is designed to reduce the computational burden effectively.
Article
Computer Science, Information Systems
Ruihong Jiang, Ke Xiong, Hong-Chuan Yang, Jie Cao, Zhangdui Zhong, Bo Ai
Summary: This article studies the coverage performance of UAV-assisted SWIPT networks in rich scattering scenarios, and analyzes the influence of nonlinear and linear energy harvesting models. The results show that PS-based systems have superior coverage performance compared to TS-based systems, and the nonlinear model yields more reliable results. Additionally, the linear model introduces greater bias for TS-based systems.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Kun Shi, Shuxian Liu, Chao Li, Haoyu Liu, Shibo He, Qi Zhang, Jiming Chen
Summary: This paper investigates the optimal deployment problem of camera sensors network for full-view point coverage in IoT applications. The authors propose two approximation algorithms and conduct extensive simulations and tests to demonstrate the superiority and effectiveness of the proposed solutions.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Yin-Di Yao, Xiong Li, Yan-Peng Cui, Jia-Jun Wang, Chen Wang
Summary: This paper proposes an energy-efficient routing protocol based on multi-threshold segmentation (EERPMS) for wireless sensor networks. The protocol improves the rationality of cluster formation and cluster heads selection, resulting in improved performance and energy savings.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Yindi Yao, Shanshan Hu, Ying Li, Qin Wen
Summary: This paper focuses on addressing the energy consumption and coverage hole issues during the deployment of wireless sensor networks. The VF-IMFO algorithm is proposed to optimize the path, repair coverage holes, and reduce node movement distance by improving the local development and global search abilities of the moth flame algorithm. Simulation results show that compared to other algorithms, the proposed VF-IMFO algorithm achieves higher coverage rates and smaller node movement distances.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Yindi Yao, Dangyuan Xie, Ying Li, Chen Wang, Yangli Li
Summary: A wireless sensor network routing protocol based on improved archimedes optimization algorithm (IAOAR) is proposed in this paper to reduce energy consumption and improve node survival. This protocol selects appropriate initial clusters and adjusts cluster head positions using virtual force, as well as constructs the shortest transmission path using an improved ant colony algorithm, thus prolonging the network's lifetime.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Yin-Di Yao, Xiong Li, Yan-Peng Cui, Lang Deng, Chen Wang
Summary: Wireless sensor networks are self-organizing monitoring networks consisting of randomly deployed micro sensor nodes to collect physical information for tasks such as intelligent perception and efficient control. However, the energy limitations of the nodes greatly affect network performance. In this study, a multi-hop routing protocol based on game theory and coverage optimization is proposed to prolong network lifetime.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Yin-Di Yao, Qin Wen, Yan-Peng Cui, Feng Zhao, Bo-Zhan Zhao, Yao-Ping Zeng
Summary: Wireless Multimedia Sensor Networks (WMSNs) focus on information-intensive data collection in remote environments. This article proposes a novel swarm intelligence technology called Army Ant Search Optimizer (AASO) inspired by army ant preying behavior to maximize coverage rate in WMSNs. The simulation results show that AASO performs well in exploration and exploitation and has better coverage effects compared to existing approaches.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Yin-Di Yao, Chen Wang, Xiong Li, Zhi-Bin Zeng, Bo-Zhan Zhao, Zhan Su, Hui-Cong Li
Summary: This research aims to reduce energy consumption and balance the load of sensor nodes in wireless sensor networks (WSNs) using clustering routing protocols in order to extend the network lifetime. The coronavirus herd immune optimizer is improved to optimize the network clustering, and cluster heads (CHs) are selected based on energy and location factors. A reasonable CH replacement mechanism is designed to avoid excessive energy consumption caused by frequent replacements. Finally, a Q-learning-based multihop routing mechanism is constructed between the CHs and the base station. Simulation results demonstrate improved cluster structure, enhanced load balance, reduced energy consumption, and prolonged network lifetime.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Ying Li, Yindi Yao, Shanshan Hu, Qin Wen, Feng Zhao
Summary: To improve the quality of service and prolong the network lifetime of wireless sensor networks (WSNs), this article proposes an improved MOALO algorithm based on fast nondominated sorting (NSIMOALO). The algorithm utilizes fast nondominated sorting and elite strategy to avoid local optimal solutions, and introduces Levy flight to enhance global optimization ability. Simulation results show that NSIMOALO algorithm achieves higher convergence and coverage compared to other algorithms. When applied to WSNs sensor node deployment, it increases the coverage rate by 12.753%, 12.413%, and 4.492% and decreases sensor nodes average moving distance by 2.551, 2.316, and 4.457 m compared to MOALO algorithm, NSGA-II algorithm, and NSMOFPA algorithm, respectively.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Yindi Yao, Xuan Yang, Xiong Li, Yuying Tian, Huanmin Liao, Ziyu Mao
Summary: This article proposes an efficient anti-intrusion detection algorithm based on MEP for directional sensor networks, which constructs the relationship between the ant colony path-planning algorithm and MEP using a dynamic threshold strategy and adds the exposure factor to the state transition probability formula of the original ant colony algorithm to find MEP more accurately. Furthermore, a barrier coverage enhancement strategy is introduced by adjusting the position of redundant nodes, which greatly improves the network monitoring ability.
IEEE SENSORS JOURNAL
(2023)
