Mobile multimedia computing in cyber-physical surveillance services through UAV-borne Video-SAR: A taxonomy of intelligent data processing for IoMT-enabled radar sensor networks

Khosravi, Mohammad R.; Samadi, Sadegh

doi:10.26599/tst.2021.9010013

Cited by 29 publications

(12 citation statements)

References 52 publications

(93 reference statements)

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“…e concept lattice of nodes in the wireless sensor network can express the relationship between nodes more effectively, and it is more helpful to choose nodes. With the deepening of research, we will propose more algorithms with concept lattice methods for other fields like radar sensor networks [56]. We believe there will be better effective solutions to such problems.…”

Section: Discussionmentioning

confidence: 99%

Two FCA-Based Methods for Reducing Energy Consumption of Sensor Nodes in Wireless Sensor Networks

Lei

Chen

et al. 2022

Scientific Programming

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In the design of wireless sensor networks (WSNs), it is important to reduce energy consumption and extend the service life of the sensors. Selecting one of the minimum sensor combinations (MSCs) that can monitor all areas, while the other MSCs are asleep, can effectively extend the lifetime of WSNs. This paper proposes two algorithms based on Formal Concept Analysis (FCA) for extracting some MSCs, to minimize the energy consumption and meet the coverage requirement. These two methods firstly extract the concept lattice from a monitor-areas context, and then it is simple to extract sensor nodes monitoring the overlapping area from the concept lattice. The algorithms consist of three steps as follows: the first step is to transform sensors and monitoring areas into a context, the second is to extract the concept lattice and implications among areas, and the third is to extract some different MSCs that can monitor all areas. Thus, some strategies are designed to awaken different MSCs to achieve the purpose of reducing energy consumption. Experimental results show that these methods have played a positive effect on extracting different MSCs and extending the lifetime of sensor networks.

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Section: Discussionmentioning

confidence: 99%

Two FCA-Based Methods for Reducing Energy Consumption of Sensor Nodes in Wireless Sensor Networks

Lei

Chen

et al. 2022

Scientific Programming

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“…Performance. If HMCR � 1 − ε, ε ⟶ 0, ε > 0, then the following equation can be obtained from equation (1).…”

Section: Convergencementioning

confidence: 99%

“…With the rapid change of the battle eld environment, more and more radars and other equipment are used to detect targets through networking [1,2]. Under the threats and challenges of enemy invasion defense, the optimal deployment can make limited radar resources reasonably allocated to form a tight and reliable radar surveillance network and achieve the best combat e ectiveness [3,4].…”

Section: Introductionmentioning

confidence: 99%

The Opposition-Based Learning Parameter Adjusting Harmony Search Algorithm Research on Radars Optimal Deployment

Cui

Dong

et al. 2022

Mathematical Problems in Engineering

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In order to solve the problem of maximizing the utilization of resources through reasonable deployment under limited resources, this paper studies from two aspects: one is to establish the mathematical model of maximum coverage of space detection, and the other is to improve the harmony algorithm. The exploration performance and convergence performance of the harmony search algorithm are analyzed theoretically, and the more general formulas of exploration performance and convergence performance are proved. Based on theoretical analysis, the algorithm called opposition-based learning parameter adjusting harmony search is proposed. By using the algorithm to test the functions of different properties, the value range of key control parameters of the algorithm are given. The proposed algorithm is applied to optimize the problem of radar deployment. This paper takes a certain area of the Shandong Peninsula as the deployment scope. The simulation results show that the proposed algorithm is effective and practical. Although there is a large amount of calculation, it provides ideas and ways for other problems, such as the site selection of new observation and communication post, the deployment of maneuvering radar stations, and the track planning of fleet.

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“…Maddikunta [7] developed control algorithms and navigation and obstacle avoidance techniques which are combined to develop a flight control platform independently, and the designed controller is applied to the flight control system of the UAV, which not only improves the system robustness but also improves the accuracy of the attitude angle control of the UAV. In the literature [8], the trained ELM network was considered as a direct inverse controller, and its output and the controller output were summed to act on the UAV to improve the robustness of the system. Sungheetha [9] starts from the analytical modeling of dynamic systems to accomplish the accurate control of UAVs.…”

Section: Related Workmentioning

confidence: 99%

UAV Automation Control System Based on an Intelligent Sensor Network

Jia

Song

2022

Journal of Sensors

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With the widespread use of UAVs, it is gradually difficult for single UAV to meet the needs of increasingly complex scenarios. At the same time, the problems of low autonomy and high dependence on control stations in central UAV cluster networks are gradually highlighted. In this paper, we analyze the theoretical conditions of network topology establishment and network connectivity, design a series of UAV distributed cluster automation control algorithm frameworks, and achieve certain research results, taking the distributed clusters of flight self-organizing networks as the background and using mathematical tools such as algebraic graph theory and random geometry to build a vibration sensor array model based on multiple intelligent sensor management. Based on this, a distributed connectivity maintenance algorithm based on the importance of nodes is designed to realize the “self-healing” of the flight’s self-organizing network. This study also improves the Mavlink flight control communication protocol customization and Zigbee wireless networking mode design to solve the UAV swarm communication link collision problem. Compared with the existing distributed spectrum estimation-based node importance algorithm, the proposed algorithm further analyzes the topological changes caused by the removal of associated edges by failed nodes and the reconstruction of new associated edges between neighboring nodes, so that the theoretical results are closer to the actual topological dynamics of the flight self-organizing network.

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Mobile multimedia computing in cyber-physical surveillance services through UAV-borne Video-SAR: A taxonomy of intelligent data processing for IoMT-enabled radar sensor networks

Cited by 29 publications

References 52 publications

Two FCA-Based Methods for Reducing Energy Consumption of Sensor Nodes in Wireless Sensor Networks

Two FCA-Based Methods for Reducing Energy Consumption of Sensor Nodes in Wireless Sensor Networks

The Opposition-Based Learning Parameter Adjusting Harmony Search Algorithm Research on Radars Optimal Deployment

UAV Automation Control System Based on an Intelligent Sensor Network

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