An α-Fairness Approach to Balancing the Energy Consumption Among Sensors for UAV–IoT Systems

Lin, Xiaohui; Bi, Suzhi; Cheng, Nan; Dai, Mingjun; Wang, Hui

doi:10.1109/jiot.2022.3164403

Cited by 11 publications

(4 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Equation ( 4), the angle θ denotes a crucial component in the CSA that contributes toward balancing between the exploitation and exploration stage. This parameter is determined using Equation (5).…”

Section: Multi-constraint Load Balancing and Routing Framework In Fanetmentioning

confidence: 99%

“…In FANET, the UAV has also encompassed the FANET to send information with high likelihood, minimal power utilization, and low latency against high regions. 5 In addition, the amount of UAVs and the process of communicating via FANETs become challenging issues because of the intermittent wireless links, three-dimensional movement of UAVs, and the dynamic topology. 6 The conventional experiments displayed that these issues result in large power network stability issues and transmission overheads.…”

Section: Introductionmentioning

confidence: 99%

“…The development of drone‐aided FANET makes present agriculture smarter by managing the diverse issues that are faced by the farmers like pest and disease identification in plants, detecting the presence of parasites, forecasting the immediate climate changes, and so on. In FANET, the UAV has also encompassed the FANET to send information with high likelihood, minimal power utilization, and low latency against high regions 5 . In addition, the amount of UAVs and the process of communicating via FANETs become challenging issues because of the intermittent wireless links, three‐dimensional movement of UAVs, and the dynamic topology 6 …”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

PCSSHO: An implementation of Percentage of Circle Search and Spotted Hyena Optimizer for multi‐constraint load balancing and routing framework in FANET

Ilango,

Sivarajan,

RaviChandran

et al. 2024

Int J Communication

View full text Add to dashboard Cite

SummaryFlying ad hoc network (FANET) is a technology that has seen tremendous growth in the past years due to its application in various military and civil developments. Conventional topology‐aided routing schemes are not suitable for large‐scale FANETs. This is because of the higher mobility rate in UAVs with the architecture differences. Hence, several path entries in routing become invalid and the neighboring nodes can be occupied before the interruption. Hence, it is very important to solve the afore‐explained issues in FANET. Initially, the task is assigned to the UAVs. These tasks are performed by satisfying the demands such as timing, congestion, and energy to attain the effective load‐balancing performance. Then, the optimal clustering and cluster head (CH) selection are performed using the developed Percentage of Circle Search and Spotted Hyena Optimizer (PCSSHO) in the communication path. Here, the feature selection is done based on constraints like position, speed, moving direction, height variation, link quality, and inter‐ and intra‐cluster distance. Then, the developed PCSSHO model performs routing by considering different constraints such as “end‐to‐end delay, delivery ratio, power consumption, and link quality.” Thus, the recommenced load balancing model in FANET secures an enhanced performance rate than the conventional load balancing frameworks.

show abstract

Section: Multi-constraint Load Balancing and Routing Framework In Fanetmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

PCSSHO: An implementation of Percentage of Circle Search and Spotted Hyena Optimizer for multi‐constraint load balancing and routing framework in FANET

Ilango,

Sivarajan,

RaviChandran

et al. 2024

Int J Communication

View full text Add to dashboard Cite

show abstract

“…Data collection is an indispensable business in IoT technology. In IoT systems, wireless sensors are embedded in devices for status monitoring or information collection to enable real-time monitoring of the environment or remote control of devices [1].…”

Section: Introductionmentioning

confidence: 99%

UAV trajectory design based on retransmission

Yang

2023

Third International Conference on Digital Signal and Computer Communications (DSCC 2023)

View full text Add to dashboard Cite

Unmanned Aerial Vehicles (UAVs) have been widely used for data collection due to their high flexibility and ability to provide line-of-sight links. In existing studies, it is generally assumed that ground users can transmit only once, while in real systems, ground-based IoT devices can enhance the communication range by transmitting the same data multiple times. Therefore, this paper considers the UAV data collection problem in two different retransmission modes and models it as maximizing the number of users that can be served by the system for a determined amount of UAV onboard energy. Since the problem is a mixed integer nonlinear problem, it is difficult to solve directly. Therefore, it is decomposed into three subproblems by alternating optimization and solved by successive convex approximation (SCA). The simulation results show that the number of users that can be served by the system can be effectively increased by considering the retransmission of ground users.

show abstract

UAV-enabled fair offloading for MEC networks: a DRL approach based on actor-critic parallel architecture

Li,

Shi

et al. 2024

Appl Intell

View full text Add to dashboard Cite

An α-Fairness Approach to Balancing the Energy Consumption Among Sensors for UAV–IoT Systems

Cited by 11 publications

References 30 publications

PCSSHO: An implementation of Percentage of Circle Search and Spotted Hyena Optimizer for multi‐constraint load balancing and routing framework in FANET

PCSSHO: An implementation of Percentage of Circle Search and Spotted Hyena Optimizer for multi‐constraint load balancing and routing framework in FANET

UAV trajectory design based on retransmission

UAV-enabled fair offloading for MEC networks: a DRL approach based on actor-critic parallel architecture

Contact Info

Product

Resources

About