Energy Efficiency of an Unlicensed Wireless Network in the Presence of Retransmissions

Ramezanipour, Iran; Alves, Hirley; Nardelli, Pedro H. J.; Pouttu, Ari

doi:10.1109/vtcspring.2018.8417869

Cited by 3 publications

(3 citation statements)

References 25 publications

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“…Simulations provide insights into the impact of radio irregularities on neighbor discovery routing techniques for both schemes. Reference [ 16 ] analyzes the energy efficiency of unlicensed wireless networks, where retransmissions are possible if a transmitted message is decoded while it is interrupted. After finding the optimal throughput in the presence of retransmissions, we focused on the overall power consumption and energy efficiency of the network and how retransmissions, network density, and outage thresholds affect the network's energy efficiency.…”

Section: Related Workmentioning

confidence: 99%

An Energy Efficient and Reliable Multipath Transmission Strategy for Mobile Wireless Sensor Networks

Sun

Wang

et al. 2022

Computational Intelligence and Neuroscience

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Multipath data transmission is a key problem that needs to be solved urgently in wireless sensor networks. In this paper, sensor node failure, link failure, energy exhaustion, and external interference affect the stability and reliability of network data transmission. A multipath transmission strategy for wireless sensor networks based on improved shuffled frog leaping algorithm is proposed. A mathematical model of multipath transmission in wireless sensor networks is established. In the shuffled frog leaping algorithm, combined with the transition probability in the particle swarm optimization algorithm, random individuals in the subgroup are introduced to assist the search when updating the frog individual position, which improves the algorithm's ability to jump out of the local optimum and improves the quality of the optimization algorithm solution. The model is applied to multipath transmission in wireless sensor networks. Then, the shuffled frog leaping algorithm is used to update, divide, and reorganize the sensor nodes to select the optimal node to establish the optimal transmission path and improve the stability and reliability of the network. Simulation experiments show that the algorithm in this paper can ensure the reliability of data transmission, reduce the network packet loss rate and network energy consumption, and reduce the average delay of data transmission.

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Section: Related Workmentioning

confidence: 99%

An Energy Efficient and Reliable Multipath Transmission Strategy for Mobile Wireless Sensor Networks

Sun

Wang

et al. 2022

Computational Intelligence and Neuroscience

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“…Taking into account the aforementioned system model assumptions, it is possible to conclude that if the licensed and unlicensed nodes are implemented in explicit positions, it makes it possible to eliminate the interferences in cases (i) and (ii). Even if it is assumed that the nodes are implemented in random locations, the probability of having the base station or aggregator in the same line segment as the unlicensed nodes signal is close to zero [10], [12], [15]. As follows, the only source of interference in this model is then (i).…”

Section: System Modelmentioning

confidence: 99%

“…Since these works are limited to smart grids applications, we later on expanded these works in [12], by following the work done in [13], [14], to make the model more generalized and compatible with other wireless networks. In this paper, we follow the same model as in [10], [12], [15] to prove that the approximation used there for the average number of retransmission attempt is in fact a tight approximation. We show why it is worth to use limited number of retransmission, and optimize the throughput as a function of the SIR threshold and number of retransmissions.…”

mentioning

confidence: 99%

A Throughput and Energy Efficiency Scheme for Unlicensed Massive Machine Type Communications †

Ramezanipour

Alves

Nardelli

et al. 2020

Sensors

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In this paper the throughput and energy efficiency of an unlicensed machine type communications network is studied. If an outage event happens in the network, there is a possibility for packet retransmissions in order to obtain a lower error probability. The model consist of a network with two types of users, Licensed and unlicensed users. The licensed users allocated uplink channel is also used by the unlicensed users. However, it is done in a way that no harm is done to the licensed users' transmission from sharing the same channel with the unlicensed users. However, licensed users' transmission causes interference on the unlicensed network. Poisson point process is used here to model the location of the nodes and the effect of interference on the network. We study how different factors such as number of retransmissions, SIR threshold and outage can effect the throughput and energy efficiency of the network. Throughput and energy efficiency are also both studied in constrained optimization problems where the constraints are the SIR threshold and number of retransmission attempts. We also show why it is important to use limited transmissions and what are the benefits.

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Monitoring and enhancing the co-operation of IoT network rhrough scheduling function based punishment reward strategy

Sangi,

Li,

Anamalamudi

et al. 2024

PLoS ONE

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The Internet of Things (IoT) has revolutionized the connectivity of physical devices, leading to an exponential increase in multimedia wireless traffic and creating substantial demand for radio spectrum. Given the inherent scarcity of available spectrum, Cognitive Radio (CR)-assisted IoT emerges as a promising solution to optimize spectrum utilization through cooperation between cognitive and IoT nodes. Unlicensed IoT nodes can opportunistically access licensed spectrum bands without causing interference to licensed users. However, energy constraints may lead to reduced cooperation from IoT nodes during the search for vacant channels, as they aim to conserve battery life. To address this issue, we propose a Punishment-reward-based Cooperative Sensing and Data Forwarding (PR-CSDF) approach for IoT data transmission. Our method involves two key steps: (1) distributing sensing tasks among IoT nodes and (2) enhancing cooperation through a reward and punishment strategy. Evaluation results demonstrate that both secondary users (SUs) and IoT nodes achieve significant utility gains with the proposed mechanism, providing strong incentives for cooperative behaviour.

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Energy Efficiency of an Unlicensed Wireless Network in the Presence of Retransmissions

Cited by 3 publications

References 25 publications

An Energy Efficient and Reliable Multipath Transmission Strategy for Mobile Wireless Sensor Networks

An Energy Efficient and Reliable Multipath Transmission Strategy for Mobile Wireless Sensor Networks

A Throughput and Energy Efficiency Scheme for Unlicensed Massive Machine Type Communications †

Monitoring and enhancing the co-operation of IoT network rhrough scheduling function based punishment reward strategy

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