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 6 publications

(3 citation statements)

References 169 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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

View full text Add to dashboard Cite

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

show abstract

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

View full text Add to dashboard Cite

show abstract

“…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)

View full text Add to dashboard Cite

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.

show abstract

Transforming ground disaster response: Recent technological advances, challenges, and future trends for rapid and accurate real-world applications of survivor detection

Soto-Vergel,

Velez,

Amaya-Mier

et al. 2023

International Journal of Disaster Risk Reduction

View full text Add to dashboard Cite

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

Cited by 6 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

Transforming ground disaster response: Recent technological advances, challenges, and future trends for rapid and accurate real-world applications of survivor detection

Contact Info

Product

Resources

About