Performance Comparison of Multi-Agent Middleware Platforms for Wireless Sensor Networks

Brasil, Miguel Augusto Bauermann; Bösch, Bernhard; Wagner, Flávio Rech; Freitas, Edison Pignaton de

doi:10.1109/jsen.2018.2791416

Cited by 21 publications

(4 citation statements)

References 18 publications

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“…Then, the network should be provided of any type of intelligence to prevent, correct or control such situation, so that a more proper modulation can be chosen, or data routing can be adapted to avoid those paths. An option would be to include software agents [ 36 ] dedicated to the mission of monitoring the radio channel obstruction.…”

Section: Discussionmentioning

confidence: 99%

Narrowband Characterization of Near-Ground Radio Channel for Wireless Sensors Networks at 5G-IoT Bands

Klaina

Alejos

Aghzout

et al. 2018

Sensors

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In this contribution, a narrowband radio channel model is proposed for rural scenarios in which the radio link operates under near-ground conditions for application in wireless sensor networks dedicated to smart agriculture. The received power attenuation was measured for both transmitter and receiver antennas placed at two different heights above ground: 0.2 and 0.4 m. Three frequency ranges, proposed for future 5G-IoT use case in agriculture, were chosen: 868 MHz, 2.4 GHz and 5.8 GHz. Three ground coverings were tested in a rural scenario: soil, short and tall grass fields. The path loss was then estimated as dependent of the radio link range and a three-slope log-normal path loss model was tailored. Results are explained in terms of the first Fresnel zone obstruction. Commercial Zigbee sensor nodes operating at 2.4 GHz were used in a second experiment to estimate the link quality from the experimental Radio Signal Strength Indicator (RSSI) received values. Two sensor nodes were placed at the same elevation above ground as in the previous experiment, only for short grass field case. The Quality of Service performance was determined in terms of theoretical bit error rate achieved for different digital modulations—BPSK, 8PSK and 16QAM—concluding remarkable results for an obstructed radio link.

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Section: Discussionmentioning

confidence: 99%

Narrowband Characterization of Near-Ground Radio Channel for Wireless Sensors Networks at 5G-IoT Bands

Klaina

Alejos

Aghzout

et al. 2018

Sensors

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“…From the perspective of graph theory, the investigation into time synchronization within UANETs inherently revolves around the consensus problem [16]. Furthermore, insights from research conducted in domains such as sensor network time synchronization, the collaborative control of multi-agent systems, and UAV swarm flight can provide valuable guidance and references for addressing the consensus problem [17][18][19][20][21][22].…”

Section: Related Workmentioning

confidence: 99%

Advancing Convergence Speed of Distributed Consensus Time Synchronization Algorithms in Unmanned Aerial Vehicle Ad Hoc Networks

Wu,

Bai,

2024

Drones

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Time synchronization is a critical prerequisite for unmanned aerial vehicle ad hoc networks (UANETs) to facilitate navigation and positioning, formation control, and data fusion. However, given the dynamic changes in UANETs, improving the convergence speeds of distributed consensus time synchronization algorithms with only local information poses a major challenge. To address this challenge, this study first establishes a convex model on the basis of graph theory and relevant theories of random matrices to approximate the original problem. Subsequently, three acceleration schemes for consensus algorithms are derived by minimizing the Frobenius norm of the iteration matrix. Additionally, this study provides a new upper bound for constant communication weights and discusses the limitations of existing metrics used to measure the convergence speeds of consensus algorithms. Finally, the proposed schemes are compared with existing ones through simulation. Our results indicate that the three proposed schemes can achieve faster convergence while maintaining high-precision synchronization in scenarios with static or known topological structures of networks. In scenarios where the topological structure of a UANET is time-varying and unknown, the scheme proposed in this paper achieves the fastest convergence speed.

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“…Over time, the importance of performance has been addressed and the platforms have been tested and improved in order to provide better capabilities [98]. In addition, new concepts have been added to the original Multi-agent systems, e.g., autonomy and self-adaptability [99] and the possibility to integrate Multiagent systems with edge computing [100].…”

Section: Influences Of Multi-agent Systemsmentioning

confidence: 99%

Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models

2020

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Performance Comparison of Multi-Agent Middleware Platforms for Wireless Sensor Networks

Cited by 21 publications

References 18 publications

Narrowband Characterization of Near-Ground Radio Channel for Wireless Sensors Networks at 5G-IoT Bands

Narrowband Characterization of Near-Ground Radio Channel for Wireless Sensors Networks at 5G-IoT Bands

Advancing Convergence Speed of Distributed Consensus Time Synchronization Algorithms in Unmanned Aerial Vehicle Ad Hoc Networks

Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models

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