A hybrid collision coordination-based multiple access scheme for super dense aerial sensor networks

Say, Sotheara; Inata, Hikari; Shimamoto, Shigeru

doi:10.1109/wcnc.2016.7565148

Cited by 17 publications

(8 citation statements)

References 7 publications

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“…In detail, under the infrastructure-based topology, the decisions for each UAVs tend to be made and optimized by the GCS in a centralized manner, since it could obtain the global information of the system. [158], [159] and [160] respectively optimize the path planning and task Physical layer: channel model [60], [144], [145], antenna design [146], [147]; Datalink layer: MAC protocol [142], [148], [149], resource allocation [150], [151]; Network layer: routing protocol [152], [153]; Transport layer: transport control protocol [154], [155]; Cross-layer: cross-layer protocol [156], [157];…”

Section: (B) Key Techniquesmentioning

confidence: 99%

Survey on Unmanned Aerial Vehicle Networks: A Cyber Physical System Perspective

Wang

Zhao

Zhang

et al. 2020

IEEE Commun. Surv. Tutorials

183

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Unmanned aerial vehicle (UAV) networks are playing an important role in various areas due to their agility and versatility, which have attracted significant attention from both the academia and industry in recent years. As an integration of the embedded systems with communication devices, computation capabilities and control modules, the UAV network could build a closed loop from data perceiving, information exchanging, decision making to the final execution, which tightly integrates the cyber processes into the physical devices. Therefore, the UAV network could be considered as a cyber physical system (CPS). Revealing the coupling effects among the three interacted components in this CPS system, i.e., communication, computation and control, is envisioned as the key to properly utilize all the available resources and hence improve the performance of the UAV networks. In this paper, we present a comprehensive survey on the UAV networks from a CPS perspective. Firstly, we respectively research the basics and advances with respect to the three CPS components in the UAV networks. Then we look inside to investigate how these components contribute to the system performance by classifying the UAV networks into three hierarchies, i.e., the cell level, the system level, and the system of system level. Further, the coupling effects among these CPS components are explicitly illustrated, which could be enlightening to deal with the challenges in each individual aspect. New research directions and open issues are discussed at the end of this survey. With this intensive literature review, we try to provide a novel insight into the state-of-the-art in the UAV networks.

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Section: (B) Key Techniquesmentioning

confidence: 99%

Survey on Unmanned Aerial Vehicle Networks: A Cyber Physical System Perspective

Wang

Zhao

Zhang

et al. 2020

IEEE Commun. Surv. Tutorials

183

View full text Add to dashboard Cite

show abstract

“…Note that only a limited number of multi-beam directional MAC protocols are available in the literature [6], [7], [9]- [16]; all of which have underlined the importance of CPT and CPR. Some multi-beam MAC schemes use a time division multiple access (TDMA) like synchronous MAC protocol (e.g., [6], [7], [10], [11], [14], [15]), whereas others use carrier sense multiple access (CSMA) based MAC protocols (e.g., [9], [12], [13], [16]). However, the TDMA based schemes introduce significant overhead and delay in computing a conflict-free transmission schedule in a multi-hop topology.…”

Section: A Related Workmentioning

confidence: 99%

An Asynchronous Multi-Beam MAC Protocol for Multi-Hop Wireless Networks

Garg,

Venkatraman,

Bentley

et al. 2021

Preprint

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A node equipped with a multi-beam antenna can achieve a throughput of up to m times as compared to a singlebeam antenna, by simultaneously communicating on its m noninterfering beams. However, the existing multi-beam medium access control (MAC) schemes can achieve concurrent data communication only when the transmitter nodes are locally synchronized. Asynchronous packet arrival at a multi-beam receiver node would increase the node deafness and MAClayer capture problems, and thereby limit the data throughput. This paper presents an asynchronous multi-beam MAC protocol for multi-hop wireless networks, which makes the following enhancements to the existing multi-beam MAC schemes (i) A windowing mechanism to achieve concurrent communication when the packet arrival is asynchronous, (ii) A smart packet processing mechanism which reduces the node deafness, hidden terminals and MAC-layer capture problems, and (iii) A channel access mechanism which decreases resource wastage and node starvation. Our proposed protocol also works in heterogeneous networks that deploy the nodes equipped with single-beam as well as multi-beam antennas. Simulation results demonstrate a superior performance of our proposed protocol.

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“…The lower-level UAVs collect data and pass them to the upper-layer UAVs. The upper-layer UAVs function as relays, flying back to the ground station [ 21 ].…”

Section: Uiot Communication Architecture and Application Scenariosmentioning

confidence: 99%

“…The usage of a hybrid mechanism to enjoy the benefits of both contention-based and contention-free is a very interesting research topic to handle MAC challenges. A hybrid MAC protocol of CSMA/CA and TDMA is presented in [ 21 ] to handle collision. It consists of a master UAV and multiple actor UAVs.…”

Section: Preliminariesmentioning

confidence: 99%

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

Khisa

Moh

2020

Sensors

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The Internet of Things (IoT), which consists of a large number of small low-cost devices, has become a leading solution for smart cities, smart agriculture, smart buildings, smart grids, e-healthcare, etc. Integrating unmanned aerial vehicles (UAVs) with IoT can result in an airborne UAV-based IoT (UIoT) system and facilitate various value-added services from sky to ground. In addition to wireless sensors, various kinds of IoT devices are connected in UIoT, making the network more heterogeneous. In a UIoT system, for achieving high throughput in an energy-efficient manner, it is crucial to design an efficient medium access control (MAC) protocol because the MAC layer is responsible for coordinating access among the IoT devices in the shared wireless medium. Thus, various MAC protocols with different objectives have been reported for UIoT. However, to the best of the authors’ knowledge, no survey had been performed so far that dedicatedly covers MAC protocols for UIoT. Hence, in this study, state-of-the-art MAC protocols for UIoT are investigated. First, the communication architecture and important design considerations of MAC protocols for UIoT are examined. Subsequently, different MAC protocols for UIoT are classified, reviewed, and discussed with regard to the main ideas, innovative features, advantages, limitations, application domains, and potential future improvements. The reviewed MAC protocols are qualitatively compared with regard to various operational characteristics and system parameters. Additionally, important open research issues and challenges with recommended solutions are summarized and discussed.

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A hybrid collision coordination-based multiple access scheme for super dense aerial sensor networks

Cited by 17 publications

References 7 publications

Survey on Unmanned Aerial Vehicle Networks: A Cyber Physical System Perspective

Survey on Unmanned Aerial Vehicle Networks: A Cyber Physical System Perspective

An Asynchronous Multi-Beam MAC Protocol for Multi-Hop Wireless Networks

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

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