Enabling civil–military collaboration for disaster relief operations in smart city environments

Campioni, Lorenzo; Poltronieri, Filippo; Stefanelli, Cesare; Suri, Niranjan; Tortonesi, Mauro; Wrona, Konrad

doi:10.1016/j.future.2022.09.020

Cited by 14 publications

(4 citation statements)

References 42 publications

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“…Abdellatif et al [13] suggested using IoT devices and LTE device-to-device ProSe (D2D ProSe) technology to create an effective emergency communication network during a disaster. Campioni et al [14] proposed a novel Aceso -Proofof-Concept smart city middleware technique. It offers location-and context-aware services to completely support Humanitarian Assistance and Disaster Relief (HADR) operations.…”

Section: Literature Reviewmentioning

confidence: 99%

PrioriNet

M.,

Prasanna G.

2024

Int. j. electr. comput. eng. syst. (Online)

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During disaster scenarios, effective communication systems are essential for coordinating emergency response efforts and ensuring the safety of affected individuals. However, existing communication protocols often face challenges in providing reliable and efficient communication in these highly dynamic and resource-constrained environments. To overcome these challenges a novel energy-efficient emergency priority protocol namely PrioriNet technique which specifically tailored for urban earthquake scenarios. The protocol focuses on prioritizing the transmission of emergency data packets to ensure their prompt and reliable delivery, while appropriately managing normal data packets. The PrioriNet prioritizes the emergency messages as high and low priority messages and allocate them to energy efficient nodes efficiently. The experimental results indicates that the suggested protocol performs better than the existing LEACH technique in terms of energy consumption, network coverage, packet delivery ratio, and throughput. In emergency data scenarios, the LEACH protocol demonstrates throughputs between 0.3 Mbps and 1.2 Mbps, whereas the proposed method consistently outperforms the LEACH protocol with throughputs ranging from 0.7 Mbps to 1.8 Mbps respectively.

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Section: Literature Reviewmentioning

confidence: 99%

PrioriNet

M.,

Prasanna G.

2024

Int. j. electr. comput. eng. syst. (Online)

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“…This information can be used to coordinate a more effective response and to ensure that resources are deployed where they are most needed. Another application of IoT in emergency management is in the area of post-disaster recovery and reconstruction [40,41]. IoT sensors can be used to monitor the condition of buildings and infrastructure in the aftermath of a disaster, and to identify areas that require repair or reconstruction.…”

Section: Applications Of Iot In Emergency Managementmentioning

confidence: 99%

From Sensors to Safety: Internet of Emergency Services (IoES) for Emergency Response and Disaster Management

Damaševičius

Bačanin

Misra

2023

JSAN

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The advancement in technology has led to the integration of internet-connected devices and systems into emergency management and response, known as the Internet of Emergency Services (IoES). This integration has the potential to revolutionize the way in which emergency services are provided, by allowing for real-time data collection and analysis, and improving coordination among various agencies involved in emergency response. This paper aims to explore the use of IoES in emergency response and disaster management, with an emphasis on the role of sensors and IoT devices in providing real-time information to emergency responders. We will also examine the challenges and opportunities associated with the implementation of IoES, and discuss the potential impact of this technology on public safety and crisis management. The integration of IoES into emergency management holds great promise for improving the speed and efficiency of emergency response, as well as enhancing the overall safety and well-being of citizens in emergency situations. However, it is important to understand the possible limitations and potential risks associated with this technology, in order to ensure its effective and responsible use. This paper aims to provide a comprehensive understanding of the Internet of Emergency Services and its implications for emergency response and disaster management.

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“…Linear 25 4,10,14,28,29,30,32,33,35,36,37,39,43,44,45,46,48,50,51,53,56,61,63,64,66 Nonlinear 43 1,2,3,5,6,7,8,9,11,12,13,15,16,17,18,19,20,21,22,23,24,25,26,27,31,34,38,40,…”

Section: Mathematical Type Number Of Articles Article Id In Tablementioning

confidence: 99%

“…This technological advancement has positioned UAVs as cost-effective, efficient, and safe solutions across various different sectors, fueling significant interest and innovation [1]. Initially designed for military purposes, UAVs have seamlessly transitioned into civilian domains [2,3]. Their applications range from military surveillance, reconnaissance, and combat operations, significantly contributing to reducing human casualties [4], to civilian applications such as forest-fire monitoring [5], rescue missions [6], agriculture [7], offshore platform operations [8], traffic management [9], drone delivery [10], medical emergencies [11], tracking operations [12], and tasks relating to smart cities [13,14].…”

Section: Introductionmentioning

confidence: 99%

Meta-heuristic Algorithms in UAV Path Planning Optimization: A Systematic Review (2018–2022)

Hooshyar,

Huang

2023

Drones

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Unmanned Aerial Vehicles (UAVs), a subset of aerial robots, play crucial roles in various domains, such as disaster management, agriculture, and healthcare. Their application proves invaluable in situations where human intervention poses risks or involves high costs. However, traditional approaches to UAV path planning struggle in efficiently navigating complex and dynamic environments, often resulting in suboptimal routes and extended mission durations. This study seeks to investigate and improve the utilization of meta-heuristic algorithms for optimizing UAV path planning. Toward this aim, we carried out a systematic review of five major databases focusing on the period from 2018 to 2022. Following a rigorous two-stage screening process and a thorough quality appraisal, we selected 68 papers out of the initial 1500 to answer our research questions. Our findings reveal that hybrid algorithms are the dominant choice, surpassing evolutionary, physics-based, and swarm-based algorithms, indicating their superior performance and adaptability. Notably, time optimization takes precedence in mathematical models, reflecting the emphasis on CPU time efficiency. The prevalence of dynamic environmental types underscores the importance of real-time considerations in UAV path planning, with three-dimensional (3D) models receiving the most attention for accuracy in complex trajectories. Additionally, we highlight the trends and focuses of the UAV path planning optimization research community and several challenges in using meta-heuristic algorithms for the optimization of UAV path planning. Finally, our analysis further highlights a dual focus in UAV research, with a significant interest in optimizing single-UAV operations and a growing recognition of the challenges and potential synergies in multi-UAV systems, alongside a prevalent emphasis on single-target mission scenarios, but with a notable subset exploring the complexities of multi-target missions.

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Enabling civil–military collaboration for disaster relief operations in smart city environments

Cited by 14 publications

References 42 publications

PrioriNet

PrioriNet

From Sensors to Safety: Internet of Emergency Services (IoES) for Emergency Response and Disaster Management

Meta-heuristic Algorithms in UAV Path Planning Optimization: A Systematic Review (2018–2022)

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