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Deploy Efficiency Driven k-Barrier Construction Scheme Based on Target Circle in directional sensor network

Journal of Computer Science & Technology 2020年第3期35卷 647-664页

作者： Xing-Gang Fan Zhi-Cong Che Feng-Dan Hu Tao Liu Jin-Shan Xu Xiao-Long Zhou College of Zhijiang Zhejiang University of TechnologyShaoxing 312030China College of Computer Science and Technology Zhejiang University of TechnologyHangzhou 310023China College of Electrical and Information Engineering Quzhou UniversityQuzhou 324000China

With the increasing demand for security,building strong barrier coverage in directional sensor networks is important for effectively detecting un-authorized *** this paper,we propose an efficient scheme to form the strong barrier coverage by adding the mobile nodes one by one into the *** first present the concept of target circle which determines the appropriate residence region and working direction of any candidate node to be *** we select the optimal relay sensor to be added into the current barrier based on its input-output ratio(barrier weight)which reflects the extension of barrier *** strategy looses the demand of minimal required sensor nodes(maximal gain of each sensor)or maximal lifetime of one single barrier,leading to an augmentation of sensors to be *** simulation results show that,compared with the available schemes,the proposed method significantly reduces the minimal deploy density required to establish k-barrier,and increases the total service lifetime with a high deploy efficiency.

关键词： directional sensor network barrier coverage target circle deploy efficiency

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A New Sensing Direction Rotation Approach to Area Coverage Optimization in directional sensor network

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JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS 2020年第2期24卷 206-213页

作者： Peng, Song Xiong, Yonghua China Univ Geosci Sch Automat 388 Lumo Rd Wuhan 430074 Hubei Peoples R China

Coverage is a crucial issue in directional sensor networks (DSNs), and a high coverage ratio ensures a good quality of service (QoS). However, a DSN encounters various problems because they use directional sensor nodes, which are characterized by directionality and a definite sensing angle. To address the area coverage problem of DSNs, this paper proposes a new sensing direction rotation approach to optimize coverage. First, we conduct grid partitioning in the target area and propose a coverage verification algorithm to justify the coverage situation of the grid points. Then, we utilize particle swarm optimization (PSO) to find an optimal sensing direction group of the directional sensor nodes to maximize the coverage ratio. Extensive simulation experiments were conducted to prove the effectiveness and reliability of our proposed approach. The results show that the approach improves the area coverage ratio of DSNs in various scenarios.

关键词： directional sensor network area coverage problem sensing direction rotation coverage verification algorithm particle swarm optimization

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On Critical Density for Coverage and Connectivity in directional sensor network Using Continuum Percolation 82

On Critical Density for Coverage and Connectivity in Directi...

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IEEE 82nd Vehicular Technology Conference (VTC Fall)

作者： Li, Jinlan Kang, Lin Zhang, Ying Hai Li, Xiuhua Wang, Chaowei Beijing Univ Posts & Telecommun Informat & Elect Technol Lab Key Lab Univ Wireless Commun Minist Educ Beijing Peoples R China

ISBN: (纸本)9781479980918

Sensing coverage in wireless sensor network is one of the vital performance metrics which can arise in all design stages and usually considered together with some other performance metrics, such as connectivity or energy consumption. Whatever the metrics, the fundamental problem is to know at least how many sensors are needed to maintain both sensing coverage and network connectivity. In this paper, we proposed a percolation-based coverage & connectivity combined model (PCCC) to obtain the critical density at which the network abruptly becomes covered/connected. The PCCC is based on directional sensor network in which sensors are assigned a determined sense direction with the angular interval varies from 0 to 2 pi. Besides, we also discussed the coverage and connectivity together as a whole under the model proposed. It is worth mentioning that the theoretical analysis as well as simulation results of relationship between critical density and transmitting gives insights into the practical design of directional sensor network.

关键词： directional sensor network coverage and connectivity critical density Continuum Percolation

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A New Method of Deploying Nodes for Area Coverage Rate Maximization in directional sensor network 43

A New Method of Deploying Nodes for Area Coverage Rate Maxim...

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43rd Annual Conference of the IEEE-Industrial-Electronics-Society (IECON)

作者： Peng, Song Xiong, Yonghua Wu, Min She, Jinhua China Univ Geosci Sch Automat Wuhan Hubei Peoples R China

ISBN: (纸本)9781538611272

Coverage issue in directional sensor networks (DSNs) is different from traditional omni-directional wireless sensor networks (WSNs) due to the limited angle of view and adjustable working direction. This paper sets up a model of monitoring area and a model of sensing area according to the unique characteristics of directional sensor and then derives an optimization model for area coverage ratio maximization. A new method based on particle swarm optimization (PSO) is proposed to solve the model. The algorithm makes the directional sensor nodes adjust their sensing direction to get personal best and global best to optimize the coverage of DSNs. The simulation results under different circumstances show that the algorithm has good performance and high efficiency in real situations.

关键词： coverage issue directional sensor network particle swarm optimization

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On Critical Density for Coverage and Connectivity in directional sensor network Using Continuum Percolation

On Critical Density for Coverage and Connectivity in Directi...

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IEEE Vehicular Technology Conference

作者： Jinlan Li Lin Kang Ying hai Zhang Xiuhua Li Chaowei Wang Information & Electronics Technology Lab Beijing University of Posts and Telecommunications Key Laboratory of Universal Wireless Communications Ministry of Education Beijing University of Posts and Telecommunications Beijing China 100876

ISBN: (纸本)9781479980925

Sensing coverage in wireless sensor network is one of the vital performance metrics which can arise in all design stages and usually considered together with some other performance metrics, such as connectivity or energy consumption. Whatever the metrics, the fundamental problem is to know at least how many sensors are needed to maintain both sensing coverage and network connectivity. In this paper, we proposed a percolation-based coverage & connectivity combined model (PCCC) to obtain the critical density at which the network abruptly becomes covered/connected. The PCCC is based on directional sensor network in which sensors are assigned a determined sense direction with the angular interval varies from 0 to 27π. Besides, we also discussed the coverage and connectivity together as a whole under the model proposed. It is worth mentioning that the theoretical analysis as well as simulation results of relationship between critical density and transmitting gives insights into the practical design of directional sensor network.

关键词： directional sensor network coverage and connectivity critical density Continuum Percolation Critical density Coverage sensor networks Performance metrics connectivity PCCC directional angular interval

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Q-DMAC: Quality-Aware Distributed Channel Selection MAC Protocol for Enhancing Multi-Channel Communication in directional sensor networks

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IEEE ACCESS 2025年 13卷 50996-51011页

作者： Islam, Maheen Nur, Fernaz Narin Sharmin, Selina Saha, Sajeeb Haque, Md Majharul Habib, Md Ahsan East West Univ Dept Comp Sci & Engn Dhaka 1212 Bangladesh Mil Inst Sci & Technol Dept Comp Sci & Engn Dhaka 1216 Bangladesh Jagannath Univ Dept Comp Sci & Engn Dhaka 1100 Bangladesh EDGE Project ICT Div BCC Dhaka 1213 Bangladesh Green Univ Bangladesh Dept Comp Sci & Engn Dhaka 1161 Bangladesh

The performance of wireless networks has continuously improved using directional Wireless sensor networks (DSNs). DSN achieves this by enhancing data sensing accuracy, maximizing spectrum use, decreasing interference and collisions, and lengthening the network's operating lifetime. Within the domain of directional sensor networks (DSNs), the primary difficulties are coordinating transmission and reception possibilities for a variety of sender-receiver pairs and offering traffic priority-aware channel access. To improve the quality and efficiency of multi-channel communication in DSNs, this research presents a quality-aware directional MAC, Q-DMAC a novel medium access control protocol. The novelty of our protocol lies in its ability to leverage multi-channel resources effectively, enabling reuse through nodes equipped with directional antennas while ensuring the Quality of Service (QoS). Proposed Q-DMAC assigns a higher number of slots inside a data window to nodes carrying more packets waiting to be sent and prioritizes medium access to nodes carrying a significant amount of data packets. Also by employing regret matching of game theory Q-DMAC selects channels resulting in reduced channel switching cost as well as computation cost. Simulation results demonstrate that Q-DMAC outperforms existing protocols such as CAR MAC, 2D-CMD MAC, and DCDS-MAC, achieving up to 20% higher throughput, 15% lower latency, 12% better packet delivery ratio, 25% longer network lifetime, and 15% reduced overhead.

关键词： Media Access Control Protocols Wireless sensor networks Quality of service Throughput Reliability directional antennas Interference Synchronization Computer science MAC multichannel directional sensor network regret matching

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α-Overlapping area coverage for clustered directional sensor networks

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COMPUTER COMMUNICATIONS 2017年 109卷 89-103页

作者： Sharmin, Selina Nur, Fernaz Narin Razzaque, Md. Abdur Rahman, Md. Mustafizur Alelaiwi, Abdulhameed Hassan, Mohammad Mehedi Rahman, Sk. Md. Mizanur Univ Dhaka Dept Comp Sci & Engn Dhaka Bangladesh King Saud Univ Coll Comp & Informat Sci Res Chair Pervas & Mobile Comp Riyadh 11543 Saudi Arabia

Area coverage problem in directional sensor networks (DSNs) presents great research challenges including minimization of number of active sensors and overlapping sensing coverage area among them, determination of their active sensing directions in an energy-efficient way, etc. Existing solutions permit to execute coverage enhancement algorithms at each individual sensor nodes, leading to high communication and computation overheads, loss of energy and reduced sensing coverage. In this paper, we first formulate the problem of maximizing area coverage with minimum number of active nodes as a mixed-integer linear programming (MILP) optimization problem for a clustered DSN. Due to its NP-completeness, we then develop a greedy alternate solution, namely alpha-overlapping area coverage (alpha-OAC). In alpha-OAC, each cluster head (CH) takes the responsibility of determining the active member nodes and their sensing directions, where, each sensing node is allowed to have at most alpha% coverage overlapping with its neighbors. The alpha-OAC CHs activate a sensor node iif the later has sufficient residual energy and send other member nodes to the sleep state. The proposed alpha-OAC system is distributed and scalable since it requires single-hop neighborhood information only. Results from extensive simulations, done in NS-3, reveal that the alpha-OAC system outperforms state-of-the-art works in terms of area coverage, network lifetime and operation overhead. (C) 2017 Elsevier B.V. All rights reserved.

关键词： directional sensor network Area coverage network-lifetime MILP optimization

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Efficient target tracking in directional sensor networks with selective target area's coverage

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TELECOMMUNICATION SYSTEMS 2018年第1期68卷 47-65页

作者： Mohajerzadeh, Amir Hossein Jahedinia, Hasan Izadi-Ghodousi, Zahra Abbasinezhad-Mood, Dariush Salehi, Mahdi Ferdowsi Univ Mashhad Dept Comp Engn Mashhad Iran Imam Reza Int Univ Dept Comp Engn & Informat Technol Mashhad Iran Neyshaboor Univ Dept Comp Engn Neyshaboor Iran

Wireless sensor networks (WSNs) are employed in a variety of applications. One of the key applications of WSNs, which gained much attention, is the target tracking. directional sensor networks (DSNs) are a subset of WSNs with some unique characteristics. Since optimizing the tracking system under the energy and coverage constraints in DSNs is of paramount importance, in this paper, we introduce a reliable algorithm for tracking mobile targets using directional WSNs. First, by selecting a minimum set of boundary and borderline sensor nodes, we achieve the desired coverage for an incoming detection. Second, for both deterministic ordered and random node deployments, we propose an efficient mechanism for determining theminimal interior sensor nodes that should be activated. Doing so, the network lifetime can be maximized by the employment of much fewer sensor nodes. Third, we use a geometric method for collecting data using two active sensors at a time. Accordingly, target position is estimated using the extended Kalman filter (EKF). Finally, we compare the proposed algorithm with a genetic algorithm and present the comparative simulation results of the EKF and the random walk. The results demonstrate the effectiveness of our proposed scheme in terms of the energy efficiency, coverage, and tracking accuracy.

关键词： Angle of view Coverage directional sensor network Extended Kalman filter Target tracking

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Priority-based target coverage in directional sensor networks using a genetic algorithm

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COMPUTERS & MATHEMATICS WITH APPLICATIONS 2009年第11-12期57卷 1915-1922页

作者： Wang, Jian Niu, Changyong Shen, Ruimin Shanghai Jiao Tong Univ Dept Comp Sci & Engn Shanghai 200030 Peoples R China

sensor networks have been applied in a wide variety of situations. Recently directional sensor networks consisting of directional sensors have gained attention. As for the traditional target coverage problem, the limited sensing angle of directional sensors makes it even more challenging. Moreover, individual targets may also be associated with differentiated priorities. Considering the distance between the directional sensors and targets influences sensing quality, this paper proposes the priority-based target coverage problem and strives to choose a minimum subset of directional sensors that can monitor all targets, satisfying their prescribed priorities. Due to the NP-Complete complexity, the minimum subset of directional sensors is approximated by using a genetic algorithm. Simulation results reveal the effects of multiple factors on the size of the resulting subset. (c) 2008 Elsevier Ltd. All rights reserved.

关键词： directional sensor network Target coverage Priority

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An Efficient Target Tracking in directional sensor networks Using Adapted Unscented Kalman Filter

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WIRELESS PERSONAL COMMUNICATIONS 2019年第3期109卷 1925-1954页

作者： Izadi-Ghodousi, Zahra Hosseinpour, Mahsa Safaei, Fatemeh Mohajerzadeh, Amir Hossein Alishahi, Mohammad Imam Reza Int Univ Dept Comp Engn Mashhad Razavi Khorasan Iran Ferdowsi Univ Mashhad Dept Comp Engn Mashhad Razavi Khorasan Iran Ferdowsi Univ Mashhad Dept Stat Mashhad Razavi Khorasan Iran Islamic Azad Univ Sci & Res Branch Dept Comp Engn Tehran Iran Islamic Azad Univ Mashhad Branch Dept Comp Engn Mashhad Razavi Khorasan Iran

In this paper we have considered an efficient adapted Unscented Kalman Filter based target tracking in directional wireless sensor networks while observations are noise-corrupted. In directional sensor networks, sensors are able to observe the target only in specified (and certainly changeable) directions. Also, sensor nodes are capable of measuring the bearings (relative angle to the target). To make target tracking efficient, first, we use scheduling algorithm which determines the sensor nodes activity. Also coverage is a challenge that we will discuss in this paper as well. sensor nodes activation algorithm directly affects the target areas coverage. Second, we use time series to predict the motion of the target. Using ARIMA, in each step of target position estimation, an area will be predicted where the target would be there with high probability. Third, we use a version of UKF, which is adjusted to the requirements of the target tracking application, to determine the position of the target with desired precision. Fourth, a routing algorithm called as C-RPL is used to perform the communications between sensor nodes in each step. Simulation results approve that the proposed efficient target tracking algorithm achieves its goals.

关键词： directional sensor network Target tracking Unscented Kalman filter Coverage Routing ARIMA model

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