Enabling End-to-End Secure Connectivity for Low-Power IoT Devices with UAVs

Rajakaruna, Archana; Manzoor, Ahsan; Porambage, Pawani; Liyanage, Madhusanka; Ylianttila, Mika; Gurtov, Andrei

doi:10.1109/wcncw.2019.8902746

Cited by 9 publications

(11 citation statements)

References 9 publications

(14 reference statements)

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“…Surveillance scenarios (eg: traffic, power line, agriculture and environment) are one of the key aspects in IoT. UAVs can be used to facilitate the requirements of these applications [138], [139]. In [140], Motlagh et al presented an integrative IoT platform operational in the sky, using UAVs equipped with diverse IoT devices.…”

Section: H Uavs and Dronesmentioning

confidence: 99%

Survey on Network Slicing for Internet of Things Realization in 5G Networks

Wijethilaka

Liyanage

2021

IEEE Commun. Surv. Tutorials

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292

124

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Internet of Things (IoT) is an emerging technology that makes people's lives smart by conquering a plethora of diverse application and service areas. In near future, the fifthgeneration (5G) wireless networks provide the connectivity for this IoT ecosystem. It has been carefully designed to facilitate the exponential growth in the IoT field. Network slicing is one of the key technologies in the 5G architecture that has the ability to divide the physical network into multiple logical networks (i.e. slices) with different network characteristics. Therefore, network slicing is also a key enabler of realisation of IoT in 5G. Network slicing can satisfy the various networking demands by heterogeneous IoT applications via dedicated slices. In this survey, we present a comprehensive analysis of the exploitation of network slicing in IoT realisation. We discuss network slicing utilisation in different IoT application scenarios, along with the technical challenges that can be solved via network slicing. Furthermore, integration challenges and open research problems related to the network slicing in the IoT realisation are also discussed in this paper. Finally, we discuss the role of other emerging technologies and concepts, such as blockchain and Artificial Intelligence/Machine Learning(AI/ML) in network slicing and IoT integration.

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Section: H Uavs and Dronesmentioning

confidence: 99%

Survey on Network Slicing for Internet of Things Realization in 5G Networks

Wijethilaka

Liyanage

2021

IEEE Commun. Surv. Tutorials

Self Cite

292

124

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“…However, for the proposed project, the relaying interval from WSN should ideally be larger. Rajakaruna et al [4] introduced a system model which enables end-to-end secure connectivity between low-power IoT devices and UAVs, helping to manage the monitoring of a heterogeneous WSN. They have considered IoT devices with diversified sensors communicating through BLE and drone performing as an edge server.…”

Section: Related Workmentioning

confidence: 99%

“…However, for a larger grid area, sensor nodes are uniformly arranged such that each sensor node has more than two closest neighbours located at equal distances. Examples for these arrangements include square arrangement [4], triangular-fill square arrangement and hexagonal arrangement. The square or triangular-fill square arrangements can be used to implement WSNs in areas having similar lengths and widths, whereas hexagonal arrangements can be used to cover areas more resembling to a circular region.…”

Section: A System Architecturementioning

confidence: 99%

“…However, the mostly used low-power communication technology is BLE, operated at the short range communication in 2. 4 GHz bandwith, provides low cost and low power features [2].…”

Section: Introductionmentioning

confidence: 99%

“…However, there is limited research conducted in the area of collaboration of drone systems and low power IoT devices. In this setting, a recent research by Rajakaruna et al,in [4], introduces a system model enabling end-to-end connectivity for low-power IoT devices with UAVs. Extensive study in the considered fields reveals that further research is required on this front.…”

Section: Introductionmentioning

confidence: 99%

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Enhance Data Collection Process of a UAV-aided Low Power IoT Wireless Sensor Network

Samarakkody

Guruge

Samaradeera

et al. 2021

2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)

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Amalgamation of low power IoT devices in Wireless Sensor Networks (WSNs) has enhanced the usage of WSNs as it lessens the requirements of total power consumption. Most such IoT devices comparatively employ short-range radio access technologies such as Bluetooth Low Energy (BLE) to transfer sensor data. When a WSN is situated in a remote region such that neither regular human monitoring is plausible nor Internet coverage is readily available, it requires an alternative method to gather data from sensor nodes. Hence, in this research, an attempt was made to improve the data collection process and monitor the parametric performance of a low power IoT WSN aided by an Unmanned Aerial Vehicle (UAV). The impact of physical parameters related to different sensor node arrangements was investigated to effectively utilize the total flying time of the drone. Subsequently, adjustments were proposed for improvements by referring to previous literature. The Hamiltonian path defined in Graph Theory was applied to reduce the traverse distance of the drone further by tracing the sensor nodes within the grid area systematically. A prototype was implemented using commercially available devices to demonstrate the feasibility and the functionality of the proposed solution. Our results show that the proposed system increases the data collection performance by 23% compared to referenced architecture.

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