Advances in Wireless Communication and Networking for Cooperating Autonomous Systems

Natalizio, Enrico; Chowdhury, Kaushik R.; Said, Mostafa

doi:10.1016/s1570-8705(17)30196-8

Cited by 9 publications

(6 citation statements)

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“…In (3), SINR is the signal-to-noise ratio of the wireless link between node u and v , and whose calculation is shown in (4).…”

Section: Calculation Of Link Metricmentioning

confidence: 99%

“…In (4), N represents the background noise, P u (v ) is the signal strength of the node v received by the node u, μ(u) is the set of data grouping nodes that the node u can receive, and τ (w ) represents the average grouping generation rate of the grouping nodes.…”

Section: Calculation Of Link Metricmentioning

confidence: 99%

“…Wireless communication has the advantage of not requiring wiring. Nevertheless, when encountering obstacles, the signal attenuation is serious, and the communication quality is easily affected by some factors such as region, climate and environment [4].…”

Section: Introductionmentioning

confidence: 99%

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Adaptive selection scheme for multi‐path parallel forwarding in dual‐mode heterogeneous field network of power distribution grid

Xiao

Huang

Liu

et al. 2022

IEEJ Transactions Elec Engng

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In order to improve forwarding rate and connectivity rate between these nodes of the power distribution field network, an adaptive selection scheme for multi‐path parallel forwarding in dual‐mode heterogeneous field network is designed. First, the topological structure, the networking process and network maintenance mechanism of the field network with high speed power line broadband carrier and high speed micro‐power radio frequency communication capabilities are discussed. Second, a link measurement method is designed based on sliding window weighted average, and hybrid multi‐path routing table is calculated using a modified Bellman‐ford shortest path algorithm with limited hops. On this basis, a multi‐path parallel forwarding scheme is designed which has three modes of multi‐path load balancing forwarding, single‐path forwarding and multi‐path redundant forwarding. Finally, the field network is applied to the power distribution information collection system. The test results showed that the dual‐mode field network was more effective than the single‐mode field network in increasing the copying rate and shortening the copying time. © 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

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“…In (3), SINR is the signal-to-noise ratio of the wireless link between node u and v , and whose calculation is shown in (4).…”

Section: Calculation Of Link Metricmentioning

confidence: 99%

Section: Calculation Of Link Metricmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive selection scheme for multi‐path parallel forwarding in dual‐mode heterogeneous field network of power distribution grid

Xiao

Huang

Liu

et al. 2022

IEEJ Transactions Elec Engng

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“…[27] show that aggregate programming can dramatically simplify the development and maintenance of complex IoT software systems by leveraging mechanisms that provide robust and adaptive coordination. [28] presents a number of recent developments, including energy and resource management in machine to machine communications and federation of IoT services with 5G. This selection of work shows that adaptation has been applied to IoT.…”

Section: Related Workmentioning

confidence: 99%

A QoS-Aware Adaptive Mobility Handling Approach for LoRa-Based IoT Systems

Robbe¹,

Weyns²

2018

2018 IEEE 12th International Conference on Self-Adaptive and Self-Organizing Systems (SASO)

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Internet-of-Things (IoT) is an emergent paradigm that is increasingly applied in smart cities. A popular technology used in IoT is LoRa that supports long-range wireless communication.In this research, we study LoRa-based IoT systems with batterypowered end nodes that collect and communicate data to a gateway for further processing. Existing approaches in such IoT systems usually only consider stationary end nodes. We focus on systems with mobile end nodes, paving the way to new applications such as target tracking. Key Quality of Service (QoS) requirements for these settings are the reliability of the communication and energy consumption. With mobile end nodes, ensuring these QoS is challenging as the system is subject to continuous changes. In this paper, we investigate how the settings of a mobile end node impact key performance indicators for reliability and energy consumption. Based on insights obtained from extensive field experiments, we devise an algorithm that automatically adapts the settings of a mobile end node to ensure its QoS requirements for a setup with a single gateway. We then extend the algorithm to a setup with multiple gateways. We demonstrate how the algorithms achieve the QoS requirements of a mobile end node in a concrete IoT deployment.

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“…Traditional applications range from surveillance to precision agriculture, environmental monitoring and disaster management [7,25]. Recent use cases emphasize the role of communications and networking in the overall picture, either to enable intra-swarm coordination or to interconnect the UAVs to ground resources [17,30]. A new line of contributions deeply integrates UAVs into the communication infrastructure to extend wireless coverage [22].…”

Section: Introductionmentioning

confidence: 99%

FlyNetSim: An Open Source Synchronized UAV Network Simulator based on ns-3 and Ardupilot

Baidya¹,

Shaikh²,

Levorato³

2018

Preprint

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Unmanned Aerial Vehicle (UAV) systems are being increasingly used in a broad range of applications requiring extensive communications, either to interconnect the UAVs with each other or with ground resources. Focusing either on the modeling of UAV operations or communication and network dynamics, available simulation tools fail to capture the complex interdependencies between these two aspects of the problem. The main contribution of this paper is a flexible and scalable open source simulator -FlyNetSimbridging the two domains. The overall objective is to enable simulation and evaluation of UAV swarms operating within articulated multi-layered technological ecosystems, such as the Urban Internet of Things (IoT). To this aim, FlyNetSim interfaces two open source tools, ArduPilot and ns-3, creating individual data paths between the devices operating in the system using a publish and subscribe-based middleware. The capabilities of FlyNetSim are illustrated through several case-study scenarios including UAVs interconnecting with a multi-technology communication infrastructure and intra-swarm ad-hoc communications.

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Advances in Wireless Communication and Networking for Cooperating Autonomous Systems

Cited by 9 publications

References 0 publications

Adaptive selection scheme for multi‐path parallel forwarding in dual‐mode heterogeneous field network of power distribution grid

Adaptive selection scheme for multi‐path parallel forwarding in dual‐mode heterogeneous field network of power distribution grid

A QoS-Aware Adaptive Mobility Handling Approach for LoRa-Based IoT Systems

FlyNetSim: An Open Source Synchronized UAV Network Simulator based on ns-3 and Ardupilot

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