Software Defined Radio and Wireless Acoustic Networking for Amateur Drone Surveillance

Yue, Xuejun; Liu, Yongxin; Wang, Jian; Song, Houbing; Cao, Huiru

doi:10.1109/mcom.2018.1700423

Cited by 99 publications

(43 citation statements)

References 13 publications

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“…We categorized the existing solution into two parts, in which, at first, we address the SFC algorithms, [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23] and then in the second part, we describe the solutions and handle the failures and faults in SDNs/NFVs. We categorized the existing solution into two parts, in which, at first, we address the SFC algorithms, [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23] and then in the second part, we describe the solutions and handle the failures and faults in SDNs/NFVs.…”

Section: Related Workmentioning

confidence: 99%

“…In the following, we briefly discuss the main literature on NFVs/SDNs and service function changing related to our work. We categorized the existing solution into two parts, in which, at first, we address the SFC algorithms, [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23] and then in the second part, we describe the solutions and handle the failures and faults in SDNs/NFVs. [24][25][26][27][28][29][30][31][32][33][34][35]…”

Section: Related Workmentioning

confidence: 99%

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Software defined service function chaining with failure consideration for fog computing

Tajiki

Shojafar

Akbari

et al. 2018

Concurrency and Computation

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Middleboxes have become a vital part of modern networks by providing services such as load balancing, optimization of network traffic, and content filtering. A sequence of middleboxes comprising a logical service is called a Service Function Chain (SFC). In this context, the main issues are to maintain an acceptable level of network path survivability and a fair allocation of the resource between different demands in the event of faults or failures. In this paper, we focus on the problems of traffic engineering, failure recovery, fault prevention, and SFC with reliability and energy consumption constraints in Software Defined Networks (SDN). These types of deployments use Fog computing as an emerging paradigm to manage the distributed small-size traffic flows passing through the SDN-enabled switches (possibly Fog Nodes). The main aim of this integration is to support service delivery in real-time failure recovery in an SFC context. First, we present an architecture for Failure Recovery called FRFP; this is a multi-tier structure in which the real-time traffic flows pass through SDN-enabled switches to jointly decrease the network side-effects of flow rerouting and energy consumption of the Fog Nodes. We then mathematically formulate an optimization problem called the Optimal Fast Failure Recovery algorithm (OFFR) and propose a near-optimal heuristic called Heuristic HFFR to solve the corresponding problem in polynomial time. In this way, the reliability of the selected paths are optimized, while the network congestion is minimized. KEYWORDS failure recovery, fog computing (FC), network function virtualization (NFV), resource reallocation, service function chaining (SFC), software defined network (SDN) 1 INTRODUCTION Network Function Virtualization (NFV) paradigm decouples network functions (NFs) from dedicated hardware equipment and provides more flexibility to the owner of an IT infrastructure. NFV consists in a set of different services running on generic hardware (eg, IDS, proxy, deep packet inspection, and firewall) that are chained using the so called Service Function Chaining (SFC) concept. This concept can be applied to industrial environments; in particular, NFV is used in industrial network design in order to reduce exposure to risks, reduce CAPEX/OPEX costs, and minimize future performance issues by basing the infrastructure upon commodity servers and switches. 1 NFV and SFCs offer a great flexibility in the chaining and placement of NFs. The European Telecommunications Standards Institute (ETSI) is driving the standardization of NFV. Software Defined Networking (SDN) complements NFV and is concerned with the decoupling of control plane functionality from packet forwarding devices, allowing a controller to flexibly configure the networking operations in the infrastructure. NFV and SDN require attention to avoid cascading threats as well ascontroller protections, especially for the software applications across the SDN switches that interoperate with the server virtualization and virtual machines (VMs). 2...

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Software defined service function chaining with failure consideration for fog computing

Tajiki

Shojafar

Akbari

et al. 2018

Concurrency and Computation

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“…The internet-based security robot identifies intruders by facial recognition using features such as facial expression, three-dimensional posture, and personal appearance. In addition, remote monitoring systems using drones [7]- [9] have also been studied. However, the drones are difficult to use due to the low battery capacity and a lack of safety.…”

Section: Introductionmentioning

confidence: 99%

“…In this study, we proposed a novel monitoring system to provide the sense of reality through an HMD, and to automatically control the camera position according to the movement of the user using sensors in the HMD. The proposed method maximizes the stereoscopic and immersive feeling through the HMD designed with the pupil forming system, partial binocular overlap, and eye tracking system [13], rather than the display used in conventional monitoring systems [1]- [9]. Therefore, it provides a realistic monitoring system to users, and it can improve the immersion experience of the conventional monitoring system.…”

Section: Introductionmentioning

confidence: 99%

Motion Recognition-Based Robot Arm Control System Using Head Mounted Display

2020

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This paper proposes a novel remote monitoring system using a head mounted display (HMD). By using an HMD, a high degree of immersion and the sense of reality is provided to the user. Further, it becomes more convenient to move the camera position while controlling the robot arm on which the camera is mounted through the coordinates obtained from the HMD sensors. The proposed system performs two tasks. Initially, in order to render images in the HMD, the camera captures input images, and the PC connected to the robot arm sends the image to the PC connected to the HMD in real-time after which the image is rendered in the HMD. For the real-time monitoring, we increased the frame per second by reducing the data size. In order to reduce the data size, we define region of interest which is the region a user can see. Then, region of interest of the image is cropped and the resolution of entire image is degraded. Therefore, two images composed of cropped image and degraded image are transmitted and merged into an image. In this way, we can reduce the data size and provide the user with monitoring the image of the original quality. Next, using the inertial measurement unit sensor and base station sensors built into the HMD, the user controls the displacement of the camera during rotation and translation by controlling the robot arm by the user's own motion. The PC connected to the HMD transmits the motion coordinates of the HMD acquired from the sensor into the PC connected to the robot arm. To control the translation of the camera, we define a coordinate system that represents the y-axis as running from top to bottom, and the x-axis as running from the front to the back in three-dimensional space. Thus, each step motor along each axis, which controls the robot arm, has its movement controlled by supplying appropriate values of angular degrees. Through the above process, the proposed method implements a remote monitoring system with five degrees of freedom. In the experiment, we measured the data transmission delay time and the displacement error due to the robot arm's motion control to determine whether the system is suitable for a real-time remote monitoring system. Experimental results show that the proposed system can be optimally operated with a frame rate of 15 frames per second and a group of pixel resolutions of 640×640 of the cropped image and 240×120 of the degraded image. In addition, the average error rate of the robot arm's displacement was 6.45% when the camera position was controlled through the robot arm. INDEX TERMS Head mounted display, real-time control, remote monitoring system, robot arm.

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“…In the field of aeronautical communications, with the anticipated increase in the number of aircraft [1], the communication demands have shown exponential growth in numerous applications, such as air traffic control (ATC) for manned aircraft [2], communication and surveillance for unmanned aerial vehicles (UAVs) [3][4][5], and the cooperative systems of manned-unmanned aerial vehicles [6]. In all of these applications, a great mass of heterogeneous information with different criticality levels needs to be transmitted over the datalinks.…”

Section: Introductionmentioning

confidence: 99%

Network‐Assisted Optimal Datalink Selection Scheme for Heterogeneous Aeronautical Network

Wang

Huang

Dong

et al. 2018

Wireless Communications and Mobile Computing

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Currently, the existing datalink selection algorithms in heterogeneous aeronautical network unilaterally focus on the user side or network side and lack the two sides’ cooperation, which seriously affects the utilization of available datalinks. Firstly, to reflect the user-side requirements and network-side load, we propose a user-centric datalink selection scheme combing the user-side multiattribute utility and the network-side access rate for single-user selection. It can be established as a multiobjective optimization problem and solved by the selected optimal datalink. Secondly, for multiuser datalink selection, in order to guarantee the access requests of multiple users, the central control mode of Software Define Networking (SDN) is used to assist the user to perform datalink selection on the network side. By constructing multiuser multiobjective optimization problem, a priority distinction selection (PDS) algorithm is proposed to maximize the number of users accessing their optimal datalinks and minimize the modification of the users’ access request. Finally, the proposed user-side datalink selection scheme and network-side assisted selection algorithm are simulated to verify the feasibility and effectiveness.

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Software Defined Radio and Wireless Acoustic Networking for Amateur Drone Surveillance

Cited by 99 publications

References 13 publications

Software defined service function chaining with failure consideration for fog computing

Software defined service function chaining with failure consideration for fog computing

Motion Recognition-Based Robot Arm Control System Using Head Mounted Display

Network‐Assisted Optimal Datalink Selection Scheme for Heterogeneous Aeronautical Network

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