To Smart City: Public Safety Network Design for Emergency

Wan, Shuo; Lu, Jiaxun; Fan, Pingyi; Letaief, Khaled B.

doi:10.1109/access.2017.2779137

Cited by 40 publications

(21 citation statements)

References 27 publications

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“…Given the advantages of prompt deployment and their bird's-eye perspective, unmanned aerial vehicles (UAVs) have been widely invoked for environmental monitoring and data collection [1]- [3], in the fields of agriculture [4], disaster sensing [5], emergency management [6], border control [7], intelligent transportation systems [8] and crowd surveillance [9]. However, the decision-making applications relying on real-time video streaming and image processing tend to exceed the local data processing capability of low-cost UAVs or may excessively prolong the time required for executing their actions [10].…”

Section: A Motivation and Scopementioning

confidence: 99%

Energy-Efficient Computation Offloading for Secure UAV-Edge-Computing Systems

Bai

Wang

Ren

et al. 2019

IEEE Trans. Veh. Technol.

219

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Characterized by their ease of deployment and bird's-eye view, unmanned aerial vehicles (UAVs) may be widely deployed both in surveillance and traffic management. However, the moderate computational capability and the short battery life restrict the local data processing at the UAV side. Fortunately, this impediment may be mitigated by employing the mobile-edge computing (MEC) paradigm for offloading demanding computational tasks from the UAV through a wireless transmission link. However, the offloaded information may become compromised by eavesdroppers. To address this issue, we conceive an energyefficient computation offloading technique for UAV-MEC systems, with an emphasis on physical-layer security. We formulate a number of energy-efficiency problems for secure UAV-MEC systems, which are then transformed to convex problems. Finally, their optimal solutions are found for both active and passive eavesdroppers. Furthermore, the conditions of zero, partial and full offloading are analyzed from a physical perspective. The numerical results highlight the specific conditions of activating the above three offloading options and quantify the performance of our proposed offloading strategy in various scenarios.

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Section: A Motivation and Scopementioning

confidence: 99%

Energy-Efficient Computation Offloading for Secure UAV-Edge-Computing Systems

Bai

Wang

Ren

et al. 2019

IEEE Trans. Veh. Technol.

219

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“…Altitude changes that are greater than 5 m can be a serious threat to the UAV during power line inspection. Precise flight altitude planning is also important for the implementation of the smart city concept [6] and the phenomenon of lowering the flying altitude may adversely affect the assumed parameters of image overlaps when conducting photogrammetric missions [12,51,52,67]. Table 6 additionally presents the parameter denoted as scale, the value of which has been calculated as the ratio of the reached altitude measured by MS50 to the design altitude.…”

Section: Task 3-accuracy Of the Vertical Displacementmentioning

confidence: 99%

“…Thanks to a possibility of embedding several transmitters, sensors, and photographing equipment, UAVs can be used in a wide range of applications. Successful cases have been reported in, e.g., aerial reconnaissance [2], aerial forest fire detection [3], target observation [4], traffic monitoring and management [5], smart city [6], online commerce [7], geographic monitoring [8], scientific data collection [9], meteorological sampling [10], photogrammetry and three-dimensional mapping [2,9,[11][12][13][14], UAVs networks [15], humanitarian relief [16], and disaster assessment and response [17][18][19]. More examples of the fast expanding potential of UAVs are presented in Rao et al and Wyngaard et al [20,21].…”

Section: Introductionmentioning

confidence: 99%

Testing Procedure of Unmanned Aerial Vehicles (UAVs) Trajectory in Automatic Missions

Ćwiąkała

2019

Applied Sciences

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This paper describes an experimental test campaign while using an Unmanned Aerial Vehicle (UAV) and measuring the obtained UAV positions during different flight tasks and in different operative conditions. A new test procedure has been presented and tested for different devices in various weather conditions. This paper describes and analyses the measurements of the flight trajectory of the UAV that was performed with the use of a robotic total station (RTS), as compared to the design data and the data recorded in the internal memory of the UAV. Five different test tasks have been conducted. The obtained results have allowed for the assessment of the correctness of task performance as compared to the design and to determine the flying accuracy of the entire UAV set. The proposed set of tasks can be successfully utilised to control the correctness of operation of various types of UAVs and it may be implemented as a universal test to verify the algorithms optimising take-offs and landings, test flights of the objects, as well as flight planning in various terrain and weather conditions, which will increase the safety of the flights while using UAVs.

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“…However, the study in [93] aimed to develop emergency response systems for disasters of various scales concentrate on transportation systems, by using Vehicular Ad-hoc Networks (VANETs), mobile and Cloud Computing technologies and based on demand and speed strategies. While, the authors in [94] suggested system composed of a central agent and the three layers located over different dimensions, unmanned aerial vehicle (UAV) layer, multi-robot layer and sensor network layer. UAV collects data from air, where on the ground there are robots that dealing with emergencies, and the sensor network layer helping the previous layers to accomplish the required tasks.…”

Section: Emergent Situations In Smart Citiesmentioning

confidence: 99%

“…[89] Real time aware, Distributed, Self-organization, Response time, Heterogeneous Emergency management by recourses, scheduling HPSO [90] Energy consumption, Response time Smart signal [91] Safety, Response time Semi-Markov model Earthquake [92] Response time and Speed Emergency response systems (VANETs and mobile) Disasters [93] Localization, Safety, Security Central agent and three layers: unmanned aerial vehicle layer, multi-robot layer and sensor network layer. [94] Security and Privacy Emergency response system(motion detection, tracking, and sensing system, LAN server) [95] Congestion, Response time Fuzzy Logic based System [96]…”

Section: Emergent Situations In Smart Citiesmentioning

confidence: 99%

Emergent situations for smart cities: A survey

Al-Smadi¹,

Alsmadi²,

Baareh³

et al. 2019

IJECE

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<span>A smart city is a community that uses communication and information technology to improve sustainability, livability, and feasibility. As any community, there are always unexpected emergencies, which must be treated to preserve the regular order. However, a smart system is needed to be able to respond effectively to these emergent situations. The contribution made in this survey is twofold. Firstly, it provides a comprehensive exhaustive and categorized overview of the existing surveys for smart cities. The categorization is based on several criteria such as structures, benefits, advantages, applications, challenges, issues, and future directions. Secondly, it aims to analyze several studies with respect to emergent situations and management to smart cities. The analysis is based on several factors such as the challenges and issues discussed, the solutions proposed, and opportunities for future research. The challenges include security, privacy, reliability, performance, scalability, heterogeneity, scheduling, resource management, and latency. Few studies have investigated the emergent situations of smart cities and despite the importance of latency factor for smart city applications, it is rarely discussed.</span>

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To Smart City: Public Safety Network Design for Emergency

Cited by 40 publications

References 27 publications

Energy-Efficient Computation Offloading for Secure UAV-Edge-Computing Systems

Energy-Efficient Computation Offloading for Secure UAV-Edge-Computing Systems

Testing Procedure of Unmanned Aerial Vehicles (UAVs) Trajectory in Automatic Missions

Emergent situations for smart cities: A survey

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