Energy harvesting techniques for sustainable underwater wireless communication networks: A review

Alamu, Olumide; Olwal, Thomas O.; Djouani, Karim

doi:10.1016/j.prime.2023.100265

Cited by 8 publications

(1 citation statement)

References 140 publications

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“…In contrast to conventional literature review methods, which may lack systematic filtering mechanisms, relying solely on individual reading and judgment for the selection of literature, there is the potential for these approaches to introduce bias or omit critical scholarly works [11][12][13][14]. The systematic literature review (SLR) method, denoted as SMS, adheres to a structured process to ensure that the reviewed literature maintains a high degree of relevance and aligns with the thematic requirements.…”

Section: Introductionmentioning

confidence: 99%

Energy Prediction for Energy-Harvesting Wireless Sensor: A Systematic Mapping Study

Yuan,

Ge,

Wei

et al. 2023

Electronics

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Energy prediction plays a significant role in energy-harvesting wireless sensors (EHWS), as it helps wireless sensors regulate their duty cycles, achieve energy neutrality, and extend their lifespan. To explore and analyze advanced technologies and methods regarding energy prediction for EHWS, this study identifies future research directions and addresses the challenges faced based on the current research status, assisting with future literature research. This scholarly inquiry delineates future research prospects and addresses prevailing challenges within the context of the extant research landscape, thereby facilitating prospective scholarly endeavors. This study employed the systematic mapping study (SMS) approach to screen and further investigate the relevant literature. After searching and screening for papers from the ACM, IEEE Xplore, and Web of Science (WOS) databases from January 2007 to December 2022, 98 papers met the requirements of this study. Subsequently, the SMS was conducted for five research questions. The results showed that the solution proposal type category had the largest proportion among all research types, accounting for 58% of the total number, indicating that the research focusing on this field is placed on improving the existing methods or proposing new ones. Additionally, based on the SMS analysis, this study provides a systematic review of the technical utilization and improvement approaches, as well as the strengths and limitations of the selected prediction methods. Furthermore, by considering the current research landscape, this paper identifies the existing challenges and suggests future research directions, thereby offering valuable insights to researchers for making informed decisions regarding their chosen paths. The significance of this study lies in its contribution to driving advancements in the field of energy-harvesting wireless sensor networks. The importance of this study is underscored by its contribution to advancing the domain of energy-harvesting wireless sensor networks, thereby serving as a touchstone for forthcoming researchers in this specialized field.

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Section: Introductionmentioning

confidence: 99%

Energy Prediction for Energy-Harvesting Wireless Sensor: A Systematic Mapping Study

Yuan,

Ge,

Wei

et al. 2023

Electronics

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Sum-rate maximization for a distributed space-time block code-aided cooperative NOMA with energy harvesting

Alamu,

Olwal,

Djouani

2024

Wireless Netw

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In this paper, we exploit the spatial and transmission diversities in cooperative non-orthogonal multiple access (C-NOMA) networks to improve the system sum-rate. To achieve this, we propose a user-pairing scheme where near-field user pairs serve as relays for user pairs in the far-field region. Based on this pairing scheme, we incorporate a space-time block code transmission technique at the near-field user pairs to maximize the transmission diversity in the cooperative phase. Moreover, we consider a non-linear energy harvesting model at the near-field user pair to alleviate the problem of energy consumption during the cooperative transmission phase. Further to this, we formulate a sum-rate maximization problem that is addressed from the viewpoint of joint power allocation factor and power splitting ratio optimization. We develop a low-computational iterative algorithm based on the concepts of the Stackelberg game and the Nash bargaining solution. We benchmark our findings with different scenarios, such as energy harvesting C-NOMA with a fixed power allocation factor and power splitting ratio, energy harvesting C-NOMA without STBC, non-cooperative NOMA, and orthogonal multiple access. The results obtained via simulations outperform the benchmark schemes.

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Cooperative visible light communications: An overview and outlook

Alamu,

Olwal,

Djouani

2024

Optical Switching and Networking

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Energy harvesting techniques for sustainable underwater wireless communication networks: A review

Cited by 8 publications

References 140 publications

Energy Prediction for Energy-Harvesting Wireless Sensor: A Systematic Mapping Study

Energy Prediction for Energy-Harvesting Wireless Sensor: A Systematic Mapping Study

Sum-rate maximization for a distributed space-time block code-aided cooperative NOMA with energy harvesting

Cooperative visible light communications: An overview and outlook

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