Medium Access Control Protocols for the Internet of Things Based on Unmanned Aerial Vehicles: A Comparative Survey

Khisa, Shreya; Moh, Sangman

doi:10.3390/s20195586

Cited by 17 publications

(11 citation statements)

References 83 publications

(116 reference statements)

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“…The integration of UAVs with IoT networks was described as a new direction for research and industry by Khisa et al [54]. IoT enables things to be connected anywhere, anytime, using any network, thus enabling almost any service.…”

Section: Integration Of Different Technologies and Servicesmentioning

confidence: 99%

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A Socio-Analytical Approach to the Integration of Drones into Health Care Systems

Comtet

Johannessen

2022

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The integration of drones into health care as a supplement to existing logistics methods may generate a need for cooperation and involvement across multiple resource areas. It is currently not well understood whether such integrations would merely represent a technical implementation or if they would cause more significant changes to laboratory services. By choosing socio-technical theory as the theoretical lens, this paper intends to harvest knowledge from the literature on various organizational concepts and examine possible synergies between such theories to determine optimal strategies for introducing the use of drones in a health care context. Our particular interest is to examine whether the insights generated from the multi-level perspective (MLP) may have the potential to create dynamic spin-offs related to the organizational transitions associated with the implementation of drones in health services. We built our study on a scoping literature review of topics associated with the MLP and socio-technical studies from differing arenas, supplemented with studies harvested on a broader basis. The scoping review is based on 25 articles that were selected for analysis. As a way of organizing the literature, the niche, regime, and landscape levels of the MLP are translated to the corresponding health care-related terms, i.e., clinic, institution, and health care system. Furthermore, subcategories emerged inductively during the process of analysis. The MLP provides essential knowledge regarding the context for innovation and how the interaction between the different levels can accelerate the diffusion of innovations. Several authors have put both ethical topics and public acceptance into a socio-technological perspective. Although a socio-technical approach is not needed to operate drones, it may help in the long run to invest in a culture that is open to innovation and change.

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Section: Integration Of Different Technologies and Servicesmentioning

confidence: 99%

“…* Interoperability is concerned with the ability of different systems, devices, applications, or products to connect and communicate in a coordinated way without any effort from the end-user. Functions related to interoperability include data access, data transmission, and cross-organizational collaboration, regardless of developer or origin [54].…”

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confidence: 99%

A Socio-Analytical Approach to the Integration of Drones into Health Care Systems

Comtet

Johannessen

2022

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“…Some studies have recently focused on the MAC protocol regarding the communication process between the UAV and ground IoT devices. A comprehensive survey of MAC protocols for UAV-based IoT is presented in [32]. A UAVbased IoT data collection system for aggressive and inaccessible areas was proposed by Xiaohui et al [33].…”

Section: Related Workmentioning

confidence: 99%

Priority-Aware Fast MAC Protocol for UAV-Assisted Industrial IoT Systems

Khisa

Moh

2021

IEEE Access

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Many hazardous industrial incidents can occur due to the inadequate and inefficient monitoring of the offshore plants. Manual inspections of the offshore plants on a regular basis is not only time consuming but also dangerous regarding to human safety. For considering the safety measurement and alleviating the burden of the manual inspection, unmanned aerial vehicles (UAVs) can be effectively utilized to collect data from the remote industrial environment. In an industrial scenario, less delay is required for emergency packets and high throughput is needed for monitoring packets. This paper proposes a priority-aware fast MAC (PF-MAC) protocol for UAV-assisted industrial Internet-of-things (IIoT) systems, ensuring fast and robust data delivery. At first, the IoT devices under the UAV communication range transmit a reservation frame to the UAV to catch transmission opportunities using CSMA/CA. The devices utilize static traffic priority and a novel adaptive backoff mechanism during CSMA/CA. After receiving the reservation frames from the IoT devices, the UAV calculates the dynamic device priority based on their static traffic priority, communication duration, sampling frequency, and remaining energy. Then, time slot is assigned by the UAV to each device for data transmission. To ensure fairness, if a device fails in contention during the CSMA/CA period, the static traffic priority is raised in the next retransmission. There is no prior work in the literature that considers both the traffic priority and the device priority to ensure Quality of Service in IIoT and related systems. According to our performance study, the proposed PF-MAC outperforms the conventional protocols in terms of delay and throughput.INDEX TERMS Internet of Things, unmanned aerial vehicle, medium access control, traffic priority, device priority, delay, quality of service.Shreya Khisa received the B.S. degree in computer science and engineering from University of Chittagong, Bangladesh in 2017. She is currently pursuing the M.S. degree with the Mobile Computing Laboratory, Chosun University, South Korea. Her current research interests include wireless sensor networks, Internet of things, and unmanned aerial vehicle networks with a focus on network architectures and protocols.

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“…Such networks have new architectures, are intensively researched, and offer significant benefits for practical services and applications (Figure 1). [9] Building SAGIN faces difficult challenges due to its characteristics such as heterogeneity, self-organization and variability over time. Limited resources in all three network segments affect SAGIN, making it difficult to obtain the required performance to deliver traffic.…”

Section: Introductionmentioning

confidence: 99%

Traffic Simulation in SAGIN Air Segment Containing Ad Hoc Network of Flying Drones

Kharchenko¹,

Grekhov²,

Kondratiuk³

2022

Preprint

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The purpose of this article is to simulate data transmission and calculate traffic parameters in SAGIN air segment for which Ad Hoc network of flying drones is considered as a model. Traffic modeling is based on the manet-routing-compare example from the ns3 simulator library, which has been supplemented with the code for calculation packet losses, throughput/goodput, and message transmission delays. The program allowed considering drones movement at both low and high speeds from 3.6 km/h to 72 km/h. The dependences of traffic losses on data transmission power, transaction sizes and data transmission rate are obtained and analyzed. The distribution of the average effective arrival rate λ and the throughput/goodput for drones has been studied. Comparing traffic characteristics in models with different numbers of drones allows judging how the required quality of service can be achieved by choosing the right transmission parameters.

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Medium Access Control Protocols for the Internet of Things Based on Unmanned Aerial Vehicles: A Comparative Survey

Cited by 17 publications

References 83 publications

A Socio-Analytical Approach to the Integration of Drones into Health Care Systems

A Socio-Analytical Approach to the Integration of Drones into Health Care Systems

Priority-Aware Fast MAC Protocol for UAV-Assisted Industrial IoT Systems

Traffic Simulation in SAGIN Air Segment Containing Ad Hoc Network of Flying Drones

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