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coverage algorithm Based on Perceived Environment Around Nodes in Mobile Wireless Sensor Networks

WIRELESS PERSONAL COMMUNICATIONS 2023年第4期128卷 2725-2740页

作者： Liu, Yixin Li, Qiangyi Nanjing Univ Aeronaut & Astronaut Coll Econ & Management Nanjing 211106 Jiangsu Peoples R China Luoyang Normal Univ Sch Informat Technol Luoyang 471934 Henan Peoples R China

Wireless sensor networks are usually deployed in harsh environments, remote locations and unmanned areas. Especially in the complex application environment, the optimization of node deployment strategy is the basic problem of wireless sensor network research. An efficient node deployment strategy can not only significantly reduce the redundancy and deployment cost of network nodes, but also improve network awareness, robustness and lifetime by improving the energy efficiency of nodes and balancing the load of data traffic. It is particularly important to ensure the effective implementation of subsequent network monitoring tasks and the quality of service, which has become a research hotspot and key issue. Aiming at the problem of blind spots and node redundancy in network coverage, a sensor node deployment algorithm based on perceptual environment is proposed. The simulation results show that the deployment method can effectively cover the monitoring area and is suitable for various network application environments.

关键词： coverage algorithm Perceived environment Mobile wireless sensor networks

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The Research Of coverage algorithm For Three-Dimensional WSN Based On MO-DMS-PSO

The Research Of Coverage Algorithm For Three-Dimensional WSN...

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IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

作者： Feng, D. Q. Lu, J. F. Zhengzhou Univ Coll Elect Engn Zhengzhou 450052 Henan Peoples R China

ISBN: (纸本)9781479919802

coverage problem is one of the basic problems for Wireless Sensor Networks, which can influence the quality of service of WSN(Wireless Sensor Network). In the research of the coverage problem for Wireless Sensor Networks, we should not only ensure the coverage rate of network, but also think about the other issues, such as energy consumption and connectivity, in this way can the deploying policy which we get conforms to the actual application. In this paper, on the basis of previous studies, this paper set forward a coverage algorithm For three-dimensional WSN based on Multi-Objecs Dynamic Multi Swarms Particle Swarm Optimization, which takes the coverage rate, energy consumption, connectivity as the targets for multi objects optimization. And though the simulation, we can get graphs for that the coverage rate, energy consumption and connectivity change with the number of iteration. By comparing with the graph of the ordinary multi-objective Particle Swarm Optimization, we can know that Multi-Objective Dynamic Multi Swarm Particle Swarm Optimization can effectively avoid the shortcoming of standard PSO .And it can optimize performance of three objects.

关键词： Wireless Sensor Networks coverage algorithm energy consumption connectivity

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The Research Of coverage algorithm For ThreeDimensional WSN Based On MO-DMS-PSO

The Research Of Coverage Algorithm For ThreeDimensional WSN ...

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2015 IEEE Advanced Information Technology,Electronic and Automation Control Conference(IAEAC 2015)

作者： D.Q.Feng J.F.Lu College of Electrical Engineering Zhengzhou University

ISBN: (纸本)9781479919819

coverage problem is one of the basic problems for Wireless Sensor Networks,which can influence the quality of service of WSN(Wireless Sensor Network).In the research of the coverage problem for Wireless Sensor Networks,we should not only ensure the coverage rate of network,but also think about the other issues,such as energy consumption and connectivity,in this way can the deploying policy which we get conforms to the actual *** this paper,on the basis of previous studies,this paper set forward a coverage algorithm For threedimensional WSN based on Multi-Objecs Dynamic MultiSwarms Particle Swarm Optimization,which takes the coverage rate,energy consumption,connectivity as the targets for multiobjects *** though the simulation,we can get graphs for that the coverage rate,energy consumption and connectivity change with the number of *** comparing with the graph of the ordinary multi-objective Particle Swarm Optimization,we can know that Multi-Objective Dynamic MultiSwarm Particle Swarm Optimization can effectively avoid the shortcoming of standard *** it can optimize performance of three objects.

关键词： Wireless Sensor Networks coverage algorithm energy consumption connectivity

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A novel coverage algorithm based on event-probability-driven mechanism in wireless sensor network

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EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING 2014年第1期2014卷 1页

作者： Sun, Zeyu Wu, Weiguo Wang, Huanzhao Chen, Heng Xing, Xiaofei Xi An Jiao Tong Univ Sch Elect & Informat Engn Xian 710049 Shaanxi Provinc Peoples R China Luoyang Inst Sci Technol Dept Comp & Informat Engn Luoyang 471023 Henan Province Peoples R China Guangzhou Univ Sch Comp Sci & Educ Software Guangzhou 510006 Guangdong Peoples R China

coverage problem is an important research topic in the field of wireless sensor network (WSN). The coverage algorithm based on event probability driven mechanism (EPDM) is put forward in this paper. First of all, the network probability model is established and the subordinate relation between sensor nodes and the target nodes is presented. Secondly, a series of probability is computed and the related theorems and reasoning are also proven. Thirdly, effective coverage for the monitoring region is achieved through scheduling mechanism of nodes themselves, thus the purpose of increasing network lifetime can be realized. Finally, experimental results show that the proposed algorithm could achieve complete coverage for networks of different scale and increase the network lifetime. It possesses the good quality of effectiveness and stability.

关键词： Wireless sensor network Event probability coverage algorithm Sensor nodes

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Medical palpation autonomous robotic system modeling and simulation in ROS/Gazebo 13

Medical palpation autonomous robotic system modeling and sim...

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13th International Conference on Developments in eSystems Engineering (DeSE)

作者： Shafikov, Artur Tsoy, Tatyana Lavrenov, Roman Magid, Evgeni Li, Hongbing Maslak, Elena Schiefermeier-Mach, Natalia Kazan Fed Univ Inst Informat Technol & Intelligent Syst ITIS Lab Intelligent Robot Syst Intelligent Robot Dept 35 Kremlevskya St Kazan 420008 Russia Shanghai Jiao Tong Univ Dept Instrument Sci & Engn Shanghai 200240 Minhang Peoples R China Volgograd State Med Univ Dept Pediat Dent Volgograd 400131 Russia Hlth Univ Appl Sci A-6020 Innsbruck Austria

ISBN: (纸本)9781665422383

Manual medical palpation task performed by a human doctor is characterized by complexity of multiple source data fusion and decision subjectivity, which significantly depends on a doctor experience and sensitivity. Therefore automated robotized approach could provide more reliable and independent results relative to a manual palpation. This paper presents a model and the Gazebo simulation of an autonomous robotic system that performs palpation of an arbitrary soft surface. The system uses a modified KUKA IIWA LBR manipulator model, equipped with a spherical indenter and a new force sensor plugin. In order to perform a palpation procedure, the system gathers data from a virtual Kinect camera and computes points for palpation based on an acquired point cloud. We introduce an implementation of soft bodies features with variable stiffness to the Gazebo simulator based on DART physics engine capabilities. The developed system was tested in the Gazebo simulator by simulating palpation of abdomen soft model with variable stiffness over its surface. The system successfully performed the palpation and was able to detect an area of high stiffness.

关键词： autonomous palpation robotic palpation soft body simulation robotics coverage algorithm

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Performance Metrics for coverage of Cleaning Robots with MoCap System 10th

Performance Metrics for Coverage of Cleaning Robots with MoC...

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10th International Conference on Intelligent Robotics and Applications (ICIRA

作者： Zheng, Kuisong Chen, Guangda Cui, Guowei Chen, Yingfeng Wu, Feng Chen, Xiaoping Univ Sci & Technol China Sch Comp Sci & Technol Multiagent Syst Lab Hefei 230027 Anhui Peoples R China

ISBN: (纸本)9783319652986;9783319652979

Nowadays there are a lot of kinds of cleaning robots which producted by different manufacturers come into people's lives. But it is still a problem that how to evaluate each robot's performance to check whether the quality is acceptable. In this paper, we make the first trial to evaluate the complete coverage path planning algorithm which is the core algorithm of a cleaning robot with Mocap system, and three simple metrics were proposed to evaluate overall performance of the algorithm. Lastly, the comparisons between different kinds of robots are presented.

关键词： Cleaning robot Mocap system coverage algorithm

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Memetic algorithm-Based Multi-Objective coverage Optimization for Wireless Sensor Networks

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SENSORS 2014年第11期14卷 20500-20518页

作者： Chen, Zhi Li, Shuai Yue, Wenjing Nanjing Univ Posts & Telecommun Coll Comp Nanjing 210023 Jiangsu Peoples R China Jiangsu High Technol Res Key Lab Wireless Sensor Nanjing 210003 Peoples R China Nanjing Univ State Key Lab Novel Software Technol Nanjing 210023 Jiangsu Peoples R China Minist Educ Key Lab Broadband Wireless Commun & Sensor Networ Nanjing 210003 Peoples R China

Maintaining effective coverage and extending the network lifetime as much as possible has become one of the most critical issues in the coverage of WSNs. In this paper, we propose a multi-objective coverage optimization algorithm for WSNs, namely MOCADMA, which models the coverage control of WSNs as the multi-objective optimization problem. MOCADMA uses a memetic algorithm with a dynamic local search strategy to optimize the coverage of WSNs and achieve the objectives such as high network coverage, effective node utilization and more residual energy. In MOCADMA, the alternative solutions are represented as the chromosomes in matrix form, and the optimal solutions are selected through numerous iterations of the evolution process, including selection, crossover, mutation, local enhancement, and fitness evaluation. The experiment and evaluation results show MOCADMA can have good capabilities in maintaining the sensing coverage, achieve higher network coverage while improving the energy efficiency and effectively prolonging the network lifetime, and have a significant improvement over some existing algorithms.

关键词： sensor networks coverage algorithm memetic algorithm multi-objective optimization

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A Distributed Secured Localization Scheme for Wireless Sensor Networks

A Distributed Secured Localization Scheme for Wireless Senso...

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1st International Conference on Intelligent Computing, Communication and Devices (ICCD)

作者： Maguluri, Lakshmana Phaneendra Basha, Shaik Mahaboob Ramesh, S. Amanatulla, Md Gudlavalleru Engn Coll Dept Comp Sci & Engn Gudlavalleru India Sree Vahini Inst Sci & Technol Dept Comp Sci & Engn Kadapa India Nimra Inst Sci & Technol Dept Comp Sci & Engn Ibrahimpatnam India

ISBN: (纸本)9788132220084

Nowadays, location-aware security policies play a key role in wireless sensor networks. In this paper, we propose to develop a distributed secured localization scheme that validates the reliability of location information associated with event reports. We make the anchor nodes are deployed such that they form connected sensor coverage and their routing information to these anchor nodes, thereby avoiding the sink overload problem. Since this scheme involves distributed anchor nodes for verification, it has less overhead and delay. By simulation results, we show that our proposed scheme attains good delivery ratio with reduced delay and overhead.

关键词： Security issues on localization Anchor nodes coverage algorithm

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coverage Based Irregular Sensing Model In Wireless Sensor Networks

Coverage Based Irregular Sensing Model In Wireless Sensor Ne...

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23rd Chinese Control and Decision Conference

作者： Wang, Hongyan Zhang, Xuefeng Sun, Xueyun Liaoning Inst Sci & Technol Dept Basic Course Benxi 117000 Peoples R China Northeastern Univ Sch Sci Shenyang 110004 Liaoning Peoples R China

ISBN: (纸本)9781424487363

coverage is a fundamental problem of WSN, which reflects the performance of sensing in wireless sensor network. The high density network is made up of low-power tiny sensors. At the guarantee of area coverage, how to prolong the lifetime of network is a problem needs solving. And the method of choosing part of sensors to perform the sense task is adopted for full area coverage to achieve the object, and the other sensors are set into the sleepy state. For the irregular sensing model, the method of choosing neighbor sensors for enlarge the area of coverage is proposed in this paper. And the space resource of wireless sensor network is utilized optimally. Then the sensing, data obtaining and processing tasks are performed. At the end the simulation is performed and the overview of development is discussed.

关键词： Wireless sensor network Irregular sensing model coverage control coverage algorithm

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Facilities of AUV search missions planning

Facilities of AUV search missions planning

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MTS/IEEE OCEANS Conference

作者： Bagnitckii, Andrei Inzartsev, Alexander Senin, Rodion FEB RAS Lab Control Syst Inst Marine Technol Problems Vladivostok Russia

ISBN: (纸本)9780933957398

The paper deals with facilities automating the process of mission preparation for autonomous underwater vehicles (AUV) carrying out search tasks. Discussing facilities include: the operator's software tools for editing, simulating and supervising of AUV missions, task description language (including group operations) and the algorithm generating a trajectory covering arbitrary shaped areas (i.e. the coverage algorithm). The main component of the operator's software is the launch wizard, which assists to launch AUV and obtain results step by step using graphical interface. Analysis of available task description languages for AUVs was performed to establish requirements to the proposed declarative notation of a mission (Denom). The search mission is used to illustrate advantages of declarative approach to planning. Also the coverage algorithm based on linear programming is proposed.

关键词： AUV Denom launch wizard search mission planning coverage algorithm declarative language task description language

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