EH-ARCUN: Energy Harvested Analytical Approach Towards Reliability with Cooperation for Underwater WSNs

Khan, Adil; Ahmad, Sheeraz; Khan, Muhammad Shahid; Jan, Mian Ahmad; Khan, Zahoor Ali; Akhtar, Munazzah

doi:10.1007/978-3-319-99966-1_14

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…In [27] authors proposed location unaware cluster head (CH) scheme approach where various leveled clusters in underwater region do not require location specification about the nodes. DUCS utilizes information accumulation in CH for energy saving and minimizes network life time as well as congestion.…”

Section: Literature Surveymentioning

confidence: 99%

Adaptive Energy Aware Quality of Service for Reliable Data Transfer in Under Water Acoustic Sensor Networks

et al. 2019

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Currently, reliable data transfer, and energy management have been considered as a significant research challenge in the underwater acoustic sensor networks (UWASN) owing to high packet loss, limited ratio of bandwidth with significant incur of energy, network life time with high propagation delay, less precision with high data hold time and so on. Energy saving and maintaining quality of service (QoS) is more important for UWASN owing to QoS application necessity and limited sensor nodes. To address this issue, several existing algorithms such as adaptive data forwarding algorithms, QoS-based congestion control algorithms and several methodologies were proposed with high throughput and less network lifetime as well as the less utilization of energy in UWASN by choosing sensor nodes data based on data transfer and link reliability. However, all the conventional algorithms have fixed data hold time, which incurs more end-to-end delay with less reliability of data and consumption of high energy due to high data transfer reachability. This high end research proposes adaptive energy aware quality of service (AEA-QoS) algorithm for reliable data delivery by formulating discrete times stochastic control process and deep learning techniques for UWSAN to overcome these issues. The proposed algorithm has been validated with conventional state-of-the-art methods and results show that the proposed approach exhibits its effectiveness in terms of less network overhead and propagation delay with high throughput and less energy consumption for every reliable packet transmission.INDEX TERMS Under water acoustic sensor networks, reliable data transfer, quality of service (QoS), deep learning.

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Section: Literature Surveymentioning

confidence: 99%

Adaptive Energy Aware Quality of Service for Reliable Data Transfer in Under Water Acoustic Sensor Networks

et al. 2019

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“…Photocapacitors present an elegant solution for the development of self-powered electronic devices in various applications, including the Internet of Things (IoT) and the Internet of everything (IoE). The IoT encompasses sensors, actuators, wireless communication networks, and data processing, leading to energy regulation and the creation of intelligent buildings. − The widespread deployment of IoT devices in agriculture, health, and business will significantly benefit society by enhancing energy efficiency. − Typically, these electronic devices require an energy source, such as batteries, supercapacitors, or separate photovoltaic and energy storage units . PCs represent a compact and efficient alternative to these independent energy sources, enabling the development of self-powered devices and systems. − …”

Section: Introductionmentioning

confidence: 99%

Progress of Photocapacitors

et al. 2023

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In response to the current trend of miniaturization of electronic devices and sensors, the complementary coupling of high-efficiency energy conversion and low-loss energy storage technologies has given rise to the development of photocapacitors (PCs), which combine energy conversion and storage in a single device. Photovoltaic systems integrated with supercapacitors offer unique light conversion and storage capabilities, resulting in improved overall efficiency over the past decade. Consequently, researchers have explored a wide range of device combinations, materials, and characterization techniques. This review provides a comprehensive overview of photocapacitors, including their configurations, operating mechanisms, manufacturing techniques, and materials, with a focus on emerging applications in small wireless devices, Internet of Things (IoT), and Internet of Everything (IoE). Furthermore, we highlight the importance of cutting-edge materials such as metal−organic frameworks (MOFs) and organic materials for supercapacitors, as well as novel materials in photovoltaics, in advancing PCs for a carbon-free, sustainable society. We also evaluate the potential development, prospects, and application scenarios of this emerging area of research.

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Explorative analysis of AUV-aided cluster-based routing protocols for Internet of intelligent underwater sensors

Salami

Adedokun

Al‐Turjman³

et al. 2020

Drones in Smart-Cities

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EH-ARCUN: Energy Harvested Analytical Approach Towards Reliability with Cooperation for Underwater WSNs

Cited by 3 publications

References 16 publications

Adaptive Energy Aware Quality of Service for Reliable Data Transfer in Under Water Acoustic Sensor Networks

Adaptive Energy Aware Quality of Service for Reliable Data Transfer in Under Water Acoustic Sensor Networks

Progress of Photocapacitors

Explorative analysis of AUV-aided cluster-based routing protocols for Internet of intelligent underwater sensors

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