Role of UAVs in Public Safety Communications: Energy Efficiency Perspective

Shakoor, Shanza; Kaleem, Zeeshan; Baig, Muhammad Iram; Chughtai, Omer; Duong, Trung Q.; Nguyen, Long D.

doi:10.1109/access.2019.2942206

Cited by 90 publications

(57 citation statements)

References 102 publications

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“…Even if there are multiple UAVs in the scenario, only one UAV with the best channel conditions participates in the relay transmission and can utilize the fixed power in different periods of the whole motion, while other UAVs are not working. According to the locations of 3 or 2 hovering UAV relays, we adopt (14,20,24) and (17,24) as time-splitting points of 3-UAV scheme and 2-UAV scheme. In detail, during 0 -14s, 14 -20s and 20 -24s, 3 UAV relays work in turn.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…The calculation method of the power allocation strategies of BPSK and N PSK are similar in (20). Due to the large number of variables involved, it is extremely difficult to obtain an accurate optimal solution to this problem.…”

Section: Power Allocation Strategymentioning

confidence: 99%

“…7 is as follows: limited by the environment and the transmitting device, P S is always small except the beginning and the end of the motion, P 1 and P 2 alternately have maximum power allocation, which is consistent with each UAV's location. According to C1 in (20), the total power of the source and 2 UAVs are limited as P t due to our proposed extreme communication…”

Section: Volume 2020mentioning

confidence: 99%

“…In brief, caching UAVs can not only ensure transmission security but also save signaling overhead to some extent becaused pre-caching in UAV can reduce the cost of resource loading and scheduling. Authors in [20] propose a multi-layered network architecture incorporating UAVs for public safety communication with taking into accounting the energy consumption criteria. Collision avoidance, trajectory optimization, recharging automation, energy efficiency and other perspectives on UAV deployment and endurance are comprehensively discussed.…”

Section: Introduction a Motivation And Related Workmentioning

confidence: 99%

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UAV-Assisted Relaying Transmission Design and Optimization for High-Speed Moving Sources

2020

IEEE Access

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In state of the art relay-assisted transmission schemes, analysis of symbol error ratio (SER) and throughput mainly focuses on static or low-speed sources, where relay strategies and power allocation strategies are studied. However, when the sources move quickly with variable trajectories, the power allocation strategy of relays is affected by the sources' movement and time-varying channels, and should be adjusted dynamically according to the sources' trajectories with corresponding motion scenarios. Therefore, previous schemes are no longer applicable to solve the problem brought by high-speed sources because their channels and power allocation strategies are lack of correlation with the sources' movement. In this paper, taking full advantage of the flexibility of unmanned aerial vehicle (UAV) combined with multi-antenna technology, we propose two UAV-assisted relaying transmission schemes to serve high-speed moving sources. Through derivation and optimization of system's symbol error ratio (SER), new dynamic power allocation and adjustment strategies of the source and each UAV are obtained when the total power of the system is limited. Moreover, the proposed schemes utilize time-based power allocation lists to save signaling overhead. Simulation results demonstrate that our schemes outperform the compared schemes. INDEX TERMS moving sources, UAV relays, dynamic power allocation.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Power Allocation Strategymentioning

confidence: 99%

Section: Volume 2020mentioning

confidence: 99%

Section: Introduction a Motivation And Related Workmentioning

confidence: 99%

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UAV-Assisted Relaying Transmission Design and Optimization for High-Speed Moving Sources

2020

IEEE Access

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“…In recent years, the trend towards underwater environment exploration has gained significant attention due to the immense number of underwater applications such as environmental monitoring, ocean sampling, undersea exploration, assisted navigation, disaster prevention [1,2], mine reconnaissance, and pollution monitoring, and localization [3,4]. Typically, wireless sensors (nodes) are deployed in a targeted area to sense information of interest.…”

Section: Introductionmentioning

confidence: 99%

DIEER: Delay-Intolerant Energy-Efficient Routing with Sink Mobility in Underwater Wireless Sensor Networks

Latif¹,

Javaid

Ullah

et al. 2020

Sensors

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Underwater Wireless Sensor Networks (UWSNs) are an enabling technology for many applications in commercial, military, and scientific domains. In some emergency response applications of UWSN, data dissemination is more important, therefore these applications are handled differently as compared to energy-focused approaches, which is only possible when propagation delay is minimized and packet delivery at surface sinks is assured. Packet delivery underwater is a serious concern because of harsh underwater environments and the dense deployment of nodes, which causes collisions and packet loss. Resultantly, re-transmission causes energy loss and increases end-to-end delay ( D E 2 E ). In this work, we devise a framework for the joint optimization of sink mobility, hold and forward mechanisms, adoptive depth threshold ( d t h ) and data aggregation with pattern matching for reducing nodal propagation delay, maximizing throughput, improving network lifetime, and minimizing energy consumption. To evaluate our technique, we simulate the three-dimensional (3-D) underwater network environment with mobile sink and dense deployments of sensor nodes with varying communication radii. We carry out scalability analysis of the proposed framework in terms of network lifetime, throughput, and packet drop. We also compare our framework to existing techniques, i.e., Mobicast and iAMCTD protocols. We note that adapting varying d t h based on node density in a range of network deployment scenarios results in a reduced number of re-transmissions, good energy conservation, and enhanced throughput. Furthermore, results from extensive simulations show that our proposed framework achieves better performance over existing approaches for real-time delay-intolerant applications.

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Flying through the secure fog: A complete study on UAV‐Fog in heterogeneous networks

Gupta

2022

Int J Communication

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Summary A drone or unmanned aerial vehicles (UAVs) is becoming a trending area for researchers worldwide. UAV's contribution is increasing in day‐to‐day life, whether it is in a military zone, disaster management, healthcare sector, smart cities, Internet of Things (IoT), urban air mobility, and many more. In contrast, UAV's limited computational capability and low‐energy sources pose significant challenges for real‐time data processing, storage, networking, and security that are critical in emergencies such as floods, earthquakes, and cyclones. UAVs are rapidly used to satisfy user requirements as well as services. As the demand for UAVs aided heterogeneous wireless networks increases in critical emergencies, fog computing serves several benefits to fulfill users' demands in terms of low latency, support, data storage, mobility, availability, scalability, and so on. This study aims to present a comprehensive study with their technical aspects for understanding fog computing, security issues, privacy concerns, and risks, along with its solutions. This paper suggests the collaboration of UAV‐Fog architecture based on the four‐tier network consisting of smart things, local UAVs, UAV‐Fog, and cloud server, to control UAV's data and also described some of the security issues faced by this cloud infrastructure. Further, this research article also sheds new light on some scenarios of UAV‐Fog for such deployments, applications, opportunities, challenges, and their major security threats and their countermeasures. Afterward, we design taxonomy of the collaboration of UAV‐Fog with their respective approaches.

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Role of UAVs in Public Safety Communications: Energy Efficiency Perspective

Cited by 90 publications

References 102 publications

UAV-Assisted Relaying Transmission Design and Optimization for High-Speed Moving Sources

UAV-Assisted Relaying Transmission Design and Optimization for High-Speed Moving Sources

DIEER: Delay-Intolerant Energy-Efficient Routing with Sink Mobility in Underwater Wireless Sensor Networks

Flying through the secure fog: A complete study on UAV‐Fog in heterogeneous networks

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