Striking a Balance Between System Throughput and Energy Efficiency for UAV-IoT Systems

Lin, Xiaohui; Su, Gongchao; Chen, Bin; Wang, Hui; Dai, Mingjun

doi:10.1109/jiot.2019.2939823

Cited by 37 publications

(29 citation statements)

References 26 publications

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“…In a contention-free MAC protocol, empty slots and the control overhead affect the throughput of the overall system. Additionally, there is a tradeoff between the system throughput and energy efficiency [ 51 ], which must be acknowledged.…”

Section: Design Considerations For Mac Protocols Of Uiotmentioning

confidence: 99%

“…Xiaohui et al [ 51 ] proposed a UIoT-based data-collection system for hostile, inaccessible areas. The main objective of their study was to maximize the energy efficiency of the whole system.…”

Section: Mac Protocols For Uiotmentioning

confidence: 99%

“…Balanced UAV-IoT [ 51 ] is characterized by a tradeoff between throughput and energy consumption. It uses a slotted ALOHA based approach to access a channel by reducing transmission collisions.…”

Section: Comparison Of Mac Protocols For Uiotmentioning

confidence: 99%

“…In this subsection, we discuss the operational characteristics of the MAC protocols in Table 3 in detail. As indicated by Table 3 , all the contention-based MAC protocols [ 51 , 57 , 60 ] had overhead compared with the contention-free protocols. In the contention-based mechanism, several control packets must be exchanged to establish the connection between the sender and the receiver, which increases the overhead.…”

Section: Comparison Of Mac Protocols For Uiotmentioning

confidence: 99%

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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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Section: Design Considerations For Mac Protocols Of Uiotmentioning

confidence: 99%

Section: Mac Protocols For Uiotmentioning

confidence: 99%

Section: Comparison Of Mac Protocols For Uiotmentioning

confidence: 99%

Section: Comparison Of Mac Protocols For Uiotmentioning

confidence: 99%

See 2 more Smart Citations

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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“…Besides the above new challenges compared to traditional relays in terms of coverage, the deployment of UAV also brings other new opportunities and technique challenges, including channel modeling [27], energy efficiency [28], and interference management [29]. In UAV-aided communication networks, there exist both UAV-to-ground and UAV-to-UAV channels, which are quite different from well-studied traditional ground communication channels.…”

Section: Introductionmentioning

confidence: 99%

Multicell Edge Coverage Enhancement Using Mobile UAV-Relay

Yang

Shen

et al. 2020

IEEE Internet Things J.

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Unmanned aerial vehicle (UAV)-assisted communication is a promising technology in future wireless communication networks. UAVs can not only help offload data traffic from ground base stations (GBSs), but also improve the quality of service of cell-edge users (CEUs). In this paper, we consider the enhancement of cell-edge communications through a mobile relay, i.e., UAV, in multi-cell networks. During each transmission period, GBSs first send data to the UAV, and then the UAV forwards its received data to CEUs according to a certain association strategy. In order to maximize the sum rate of all CEUs, we jointly optimize the UAV mobility management, including trajectory, velocity, and acceleration, and association strategy of CEUs to the UAV, subject to minimum rate requirements of CEUs, mobility constraints of the UAV and causal buffer constraints in practice. To address the mixed-integer nonconvex problem, we transform it into two convex subproblems by applying tight bounds and relaxations. An iterative algorithm was proposed to solve the two subproblems in an alternating manner. Numerical results show that the proposed algorithm achieves higher rates of CEUs as compared with existing benchmark schemes.

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