Review of Protocol Stack Development of Flying Ad-hoc Networks for Disaster Monitoring Applications

Dhall, Ruchi; Dhongdi, Sarang C.

doi:10.1007/s11831-022-09791-y

Cited by 7 publications

(3 citation statements)

References 169 publications

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“…Furthermore, in the rapidly evolving landscape of heterogeneous IoT scenarios, proactive edge caching techniques have been rapidly developed to cater to the unique requirements of ad hoc networks [30]. However, one of the critical challenges in both IoT and ad hoc networks, including decentralized wireless networks, pertains to achieving accurate time synchronization among the network nodes [31,32].…”

Section: Introductionmentioning

confidence: 99%

Enhancing Wireless Sensor Network in Structural Health Monitoring through TCP/IP Socket Programming-Based Mimic Broadcasting: Experimental Validation

Nilnoree,

Taparugssanagorn,

Kaemarungsi

et al. 2024

Applied Sciences

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This paper presents the implementation of a synchronous Structural Health Monitoring (SHM) framework utilizing wireless, low-cost, and off-the-shelf components. Vibration-based condition monitoring plays a crucial role in assessing the reliability of structural systems by detecting damage through changes in vibration parameters. The adoption of low-cost Micro-Electro-Mechanical Systems (MEMS) sensors in Wireless Sensor Networks (WSNs) has gained traction, emphasizing the need for precise time synchronization to schedule wake-up times of multiple sensor nodes for data collection. To address this challenge, our proposed method introduces a TCP/IP socket programming-based mimic broadcasting mechanism and a scalable sensing network controlled by a central gateway, leveraging the Raspberry Pi Python platform. The system operates using Internet of Things (IoT) concepts and adopts a star topology, where a packet is transmitted from the gateway to initiate measurements simultaneously on multiple sensor nodes. The sensor node comprises a MEMS accelerometer, a real time clock DS3231 module and Raspberry Pi Zero 2W (RPi0-2W), while the gateway employs a Raspberry Pi 4 (RPi4). To ensure accurate time synchronization, all Pi0-2W nodes were configured as Network Time Protocol (NTP) clients, synchronizing with an RPi4 server using chrony, the reliable implementation of the NTP. Through experimental evaluations, the system demonstrates its effectiveness and reliability in achieving initial time synchronization. This study addresses the challenge of achieving precise time alignment between sensor nodes through the utilization of the Dynamic Time Wrapping (DTW) method for Frequency Domain Decomposition (FDD) applications. The contribution of this research significantly enhances the field by improving the accuracy and reliability of time-aligned measurements, with a specific focus on utilizing low-cost sensors. By developing a practical and cost-effective SHM framework, this work advances the accessibility and scalability of structural health monitoring solutions, facilitating more widespread adoption and implementation in various engineering applications

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Section: Introductionmentioning

confidence: 99%

Enhancing Wireless Sensor Network in Structural Health Monitoring through TCP/IP Socket Programming-Based Mimic Broadcasting: Experimental Validation

Nilnoree,

Taparugssanagorn,

Kaemarungsi

et al. 2024

Applied Sciences

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“…Unmanned aerial vehicle (UAV) swarm technology has been widely used in various fields such as agriculture, military, disaster monitoring, and communication 1 . The application of UAV technology in various fields is constantly expanding, gradually shifting from a single UAV to a UAV swarm composed of multiple UAVs.…”

Section: Introductionmentioning

confidence: 99%

“…The application of UAV technology in various fields is constantly expanding, gradually shifting from a single UAV to a UAV swarm composed of multiple UAVs. Compared with a single UAV working alone, people have found that UAV swarms working together can further meet the needs of tasks 1 . Micro UAV swarms are commonly used to perform search or rescue tasks in complex scenarios.…”

Section: Introductionmentioning

confidence: 99%

Clustering algorithm for micro unmanned aerial vehicle networks with multi-task objectives

Liu,

Jiang,

2023

Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023)

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To address the complex multi-tasking application scenarios and unstable network topology of micro Unmanned Aerial Vehicle (UAV) clusters, this paper proposes a clustering algorithm MT-WCA. Firstly, the UAV nodes calculate their weight based on average connectivity difference, transmission capability, relative mobility and energy consumption. Then, under the constraint of cluster membership, the most suitable cluster head is elected to prolong the network's integrity time as much as possible. MT-WCA partitions task clusters rationally based on task objective information in the scenario, enabling the UAV cluster to complete tasks more effectively. The paper simulates multi-tasking work scenarios by MATLAB and compares the integrity time of UAV networks using different algorithms.

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Integration of UAVs and FANETs in Disaster Management: A Review on Applications, Challenges and Future Directions

Abbas,

Abu Talib,

Ahmed

et al. 2024

Trans Emerging Tel Tech

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Rapid growth and technological improvement in wireless communication, driven by engineers from various disciplines, have reached significant milestones. Unmanned Aerial vehicles (UAVs) and flying ad hoc networks (FANET) have undergone one of the biggest innovations. UAVs have drawn a lot of attention from research institutions. They are increasingly employed in various application fields, such as real‐time monitoring, precision farming, wireless coverage, military surveillance, climate monitoring, disaster surveillance, and monitoring and rescue operations. The primary characteristics of disasters are their unpredictability and the scarcity of resources in the affected areas. To reduce the loss of lives and livelihoods, disaster management has received much attention. Numerous methodologies and technologies have been developed to predict and handle disasters. UAVs are increasingly being used in disaster management. Additionally, artificial intelligence and collaborative machine learning techniques are gaining prominence among researchers, who are investigating the possibility of their use in disaster management tasks to better cope with the severe and frequently devastating effects of natural catastrophes. This paper provides a review of the relevant FANET research activities in disaster management and emerging artificial intelligence techniques, along with several observations and research challenges. The papers are categorized based on the disaster scenario‐related problems and their proposed solutions. FANET problems are receiving less attention from the research community, and the main challenges with FANETs are also highlighted. Finally, significant insights are presented that can aid in improving research related to the application of FANETs in disaster management.

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Review of Protocol Stack Development of Flying Ad-hoc Networks for Disaster Monitoring Applications

Cited by 7 publications

References 169 publications

Enhancing Wireless Sensor Network in Structural Health Monitoring through TCP/IP Socket Programming-Based Mimic Broadcasting: Experimental Validation

Enhancing Wireless Sensor Network in Structural Health Monitoring through TCP/IP Socket Programming-Based Mimic Broadcasting: Experimental Validation

Clustering algorithm for micro unmanned aerial vehicle networks with multi-task objectives

Integration of UAVs and FANETs in Disaster Management: A Review on Applications, Challenges and Future Directions

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