A Dynamic TDMA Scheduling Strategy for MANETs Based on Service Priority

Ye, Yufeng; Zhang, Xiangyin; Xie, Lanfeng; Qin, Kaiyu

doi:10.3390/s20247218

Cited by 7 publications

(4 citation statements)

References 41 publications

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“…Additionally, the purpose of defining an exchange frame is to facilitate the migration of time slots between nodes. However, it is important to note that this superframe structure, along with similar studies [28], has a notable disadvantage. The predefined and reserved frames may suffer from underutilization if no control packets are being transmitted or if there are no requests for slot exchange from the nodes.…”

Section: Related Workmentioning

confidence: 85%

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Distributed TDMA Scheduling for Autonomous Aerial Swarms: A Self-Organizing Approach

Aydin,

Akcasoy,

Cakir

et al. 2024

IEEE Access

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Self-organization is a key strategy for improving the performance of an aerial swarm ad hoc network. The proliferation of low-cost VTOL drones has broadened the application domain of aerial swarms, and the need for synchronized communication among network entities has become crucial. However, existing ad hoc approaches struggle to maintain multi-hop connections in contested environments characterized by frequent topology changes and intermittent links. To overcome these limitations, we introduced STDMA protocol, which enables the self-configuration of drones without reliance on a ground controller. In continuation of the earlier work, we conduct extensive experiments to evaluate the performance of the proposed protocol.Comparative simulation experiments cover various scenarios with different network sizes, frame lengths, and traffic loads. The STDMA protocol achieves optimal access delay in highly contested environments and reduces delay by approximately 19.181%. Moreover, it exhibits improved channel utilization compared to the E-ASAP/SM protocol, with a 4.5 times increase.INDEX TERMS ad hoc networks, autonomous control, decentralized control, distributed systems, reliable communication, self-organizing network management, swarm intelligence, UAV swarm I. INTRODUCTION

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Section: Related Workmentioning

confidence: 85%

“…The paper [28] investigates the time slot reservation problem and presents a novel priority-based solution that takes into account the two-hop range. By incorporating this approach, the authors aim to enhance the transmission throughput and end-to-end delay.…”

Section: Related Workmentioning

confidence: 99%

Distributed TDMA Scheduling for Autonomous Aerial Swarms: A Self-Organizing Approach

Aydin,

Akcasoy,

Cakir

et al. 2024

IEEE Access

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show abstract

“…Thus, the data collision problem is avoided, and the energy is saved. The most well-used in WSN is the time division multiple access (TDMA), which allows a strict synchronization between transmitter nodes and the sink node [99]. Each node has a specific time slot, and it is allowed to transmit only in the allocated time slot to avoid interference.…”

Section: Network-levelmentioning

confidence: 99%

Prospects of Wireless Energy-Aware Sensors for Smart Factories in the Industry 4.0 Era

et al. 2021

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Advanced sensors are becoming essential for modern factories, as they contribute by gathering comprehensive data about machines, processes, and human-machine interaction. They play an important role in improving manufacturing performance, in-factory logistics, predictive maintenance, supply chains, and digitalization in general. Wireless sensors and wireless sensor networks (WSNs) provide, in this context, significant advantages as they are flexible and easily deployable. They have reduced installation and maintenance costs and contributed by reducing cables and preinstalled infrastructure, leading to improved reliability. WSNs can be retrofitted in machines to provide direct information from inside the processes. Recent developments have revealed exciting possibilities to enhance energy harvesting (EH) and wireless energy transmission, enabling a reliable use of wireless sensors in smart factories. This review provides an overview of the potential of energy aware WSNs for industrial applications and shows relevant techniques for realizing a sustainable energy supply based on energy harvesting and energy transfer. The focus is on high-performance converter solutions and improvement of frequency, bandwidth, hybridization of the converters, and the newest trends towards flexible converters. We report on possibilities to reduce the energy consumption in wireless communication on the node level and on the network level, enabling boosting network efficiency and operability. Based on the existing technologies, energy aware WSNs can nowadays be realized for many applications in smart factories. It can be expected that they will play a great role in the future as an enabler for digitalization in this decisive economic sector.

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“…Schemes based on CSMA employed an RTS/CTS mechanism to solve the hidden node problem in MANETs, which causes high overhead and makes it difficult to provide stable performance in a congested environment with a large amount of traffic [4]. For TDMAbased MAC protocols, which have been widely studied for MANET environments [5], the synchronization of the slot time among nodes is required, but it is still known as one of the most challenging tasks to be solved in the networking environments where nodes are moving [6]. The use of Non-Orthogonal Multiple Access (NOMA) for MANETs was proposed in [7]; however, it requires Base Stations (BSs) to relay communications among nodes.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Strategy to Change Firing Phases of Collided Nodes in Extended-Desync TDMA-Based MANETs

Lee

Roh

2021

Sensors

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As a multi-hop extension of the desynchronization-based TDMA (Desync-TDMA), the extended Desync-TDMA (Ext-Desync) with self-adapting property is proposed to overcome the limitations of existing CSMA/CA and dynamic TDMA-based schemes for Mobile Ad-hoc Networks (MANETs). However, existing studies overlooked the potential problem of firing message collisions caused by node movements, leading to the severe degradation of MANET networking performance. In this paper, we derive a mathematical model to evaluate the problem due to collisions of firing messages for moving nodes. With the derived model, we propose a method for a collided node to determine whether it changes its firing phase or not, adaptively in a distributed manner, by considering both the collision situation and the slot utilization. The comparative analysis between the proposed method and existing representative ones is also presented for various networking features. The performances of the proposed method are compared with CSMA/CA as well as other existing Ext-Desync-based schemes. The numerical results show that the proposed method achieved much faster resolution and higher slot utilization in collision situations than other Ext-Desync-based schemes. In addition, we also show that the proposed method outperformed the comparable methods, including CSMA/CA, in terms of packet delivery ratios and end-to-end delays.

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A Dynamic TDMA Scheduling Strategy for MANETs Based on Service Priority

Cited by 7 publications

References 41 publications

Distributed TDMA Scheduling for Autonomous Aerial Swarms: A Self-Organizing Approach

Distributed TDMA Scheduling for Autonomous Aerial Swarms: A Self-Organizing Approach

Prospects of Wireless Energy-Aware Sensors for Smart Factories in the Industry 4.0 Era

Adaptive Strategy to Change Firing Phases of Collided Nodes in Extended-Desync TDMA-Based MANETs

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