“…These meliorations will further enhance the potential for underwater wireless sensors to overturn underwater data collection and monitoring. Acoustic UWSNs comprise underwater environments where collaborative monitoring tasks are undertaken through the deployment of acoustic sensor nodes and underwater unmanned submarine vehicles, specifically tailored for such aquatic settings [2,3,16]. The connectivity of a typical UWSN is shown in Figure 1.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Given the challenges presented by the marine environment, conventional electromagnetic radio waves are impractical for underwater applications. Consequently, acoustic waves have emerged as the preferred medium, renowned for their exceptional effectiveness in enabling underwater communication [2]. UWSNs represent intricate, self-organizing networks comprising acoustic sensor nodes that operate beneath the water's surface [3].…”
Underwater wireless sensor networks (UWSNs) represent a specialized category of WSNs with versatile applications including acoustic monitoring, oil and gas exploration, and military surveillance. UWSNs face formidable challenges such as limited energy resources, extended propagation delays, and harsh conditions. Existing clustering and multi-hop routing protocols often unevenly distribute nodes geographically, causing network fragmentation and disproportionately draining the battery life of nodes near the sink due to higher data transmission demands. In this paper, we introduce an Energy-efficient Artificial Fish Swarm-based Clustering Protocol (EAFSCP), inspired by the collective behavior of fish swarms. EAFSCP is a decentralized clustering algorithm designed for acoustic monitoring in UWSNs. Its decentralized nature makes it particularly well-suited for large-scale UWSNs, where centralized algorithms may not be feasible. Through comprehensive comparisons with existing cluster-based routing protocols, our findings indicate that EAFSCP consistently outperforms them across multiple key performance metrics, including network lifetime, energy consumption, packet delivery ratio, packet loss rate, and throughput. According to the results, EAFSCP represents an effective clustering algorithm that enhances network performance, prolongs network lifespan by reducing energy consumption, promotes scalability, and provides valuable guidance for emergency response efforts.
“…These meliorations will further enhance the potential for underwater wireless sensors to overturn underwater data collection and monitoring. Acoustic UWSNs comprise underwater environments where collaborative monitoring tasks are undertaken through the deployment of acoustic sensor nodes and underwater unmanned submarine vehicles, specifically tailored for such aquatic settings [2,3,16]. The connectivity of a typical UWSN is shown in Figure 1.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Given the challenges presented by the marine environment, conventional electromagnetic radio waves are impractical for underwater applications. Consequently, acoustic waves have emerged as the preferred medium, renowned for their exceptional effectiveness in enabling underwater communication [2]. UWSNs represent intricate, self-organizing networks comprising acoustic sensor nodes that operate beneath the water's surface [3].…”
Underwater wireless sensor networks (UWSNs) represent a specialized category of WSNs with versatile applications including acoustic monitoring, oil and gas exploration, and military surveillance. UWSNs face formidable challenges such as limited energy resources, extended propagation delays, and harsh conditions. Existing clustering and multi-hop routing protocols often unevenly distribute nodes geographically, causing network fragmentation and disproportionately draining the battery life of nodes near the sink due to higher data transmission demands. In this paper, we introduce an Energy-efficient Artificial Fish Swarm-based Clustering Protocol (EAFSCP), inspired by the collective behavior of fish swarms. EAFSCP is a decentralized clustering algorithm designed for acoustic monitoring in UWSNs. Its decentralized nature makes it particularly well-suited for large-scale UWSNs, where centralized algorithms may not be feasible. Through comprehensive comparisons with existing cluster-based routing protocols, our findings indicate that EAFSCP consistently outperforms them across multiple key performance metrics, including network lifetime, energy consumption, packet delivery ratio, packet loss rate, and throughput. According to the results, EAFSCP represents an effective clustering algorithm that enhances network performance, prolongs network lifespan by reducing energy consumption, promotes scalability, and provides valuable guidance for emergency response efforts.
“…Pour des distances inférieures à 1 m, un débit maximum de 11.84 Mb/s a été obtenu. Depuis 2015, plusieurs équipes ont exploré le comportement de différentes technologies de modules PV pour cette application, illustrant leur potentiel pour le développement d'objets communicants autonomes (Alamu, et al, 2022), (De Oliveira Filho, et al, 2022. L'utilisation de composants PV inorganiques à l'état de l'art (cellule PV AsGa) et de sources laser ultra-rapides ont permis de démontrer une récupération d'énergie de 1 mW pour des débits jusqu'au Gb/s, avec une efficacité de 41 % (Fakidis, et al, 2020).…”
Section: Cellules Solaires Utilisées En Tant Que Photodétecteurs Owcunclassified
Licence : CC BY-NC-ND 4.0 International Résumé : L'émulation écologie est le nom donné aux nudges ayant pour objectif de permettre aux individus d'avoir un meilleur comportement vis-à-vis de l'environnement. Les nudges sont des dispositifs offrant la possibilité d'influencer les pratiques des individus sans les priver de liberté. Pour ce faire, les nudges utilisent divers biais cognitifs afin d'orienter les attitudes individuelles vers des actions plus vertueuses pour eux-mêmes, mais également pour la société de manière générale. De nombreux nudges reposent sur une modification des formants plastiques de l'objet nudgé, notamment via la mise en place de dispositifs visuels. Cet article suggère alors de s'interroger sur l'efficience des visuels afin d'influencer les comportements. Est-ce efficace ? Et si tel est le cas, comment cela fonctionne-t-il ? A l'aide d'un corpus nous allons tenter de proposer quelques pistes de réponses.
“…In this sense, SLIPT systems are the optical counterparts of RF and inductive SWIPT systems. In SLIPT architectures, LEDs or semiconductor lasers are employed to transfer data by suitable coding and decoding paradigms and power by using photodiodes or small solar cells to energize the receiving or transmitting SLIPT modules [17][18][19][20][21][22][23][24]. SLIPT technology presents several advantages in terms of its operability at long distances, high electromagnetic compatibility and signal integrity, operation in low-power and low-voltage conditions, and full compatibility with standard CMOS Si technology to reduce the system size.…”
This paper presents a Simultaneous Lightwave Information and Power Transfer (SLIPT) system for implantable biomedical applications composed of an external and internal (i.e., implantable) unit designed at a transistor level in TMSC 0.18 µm standard CMOS Si technology, requiring Si areas of 200 × 260 µm2 and 615 × 950 µm2, respectively. The SLIPT external unit employs a semiconductor laser to transmit data and power to the SLIPT internal unit, which contains an Optical Wireless Power Transfer (OWPT) module to supply its circuitry and, in particular, the data receiver module. To enable these operations, the transmitter module of the SLIPT external unit uses a novel reverse multilevel synchronized pulse position modulation technique based on dropping the laser driving current to zero so it produces laser pulses with a reversed intensity profile. This modulation technique allows: (i) the SLIPT external unit to code and transmit data packages of 6-bit symbols received and decoded by the SLIPT internal unit; and (ii) to supply the OWPT module also in the period between the transmission of two consecutive data packages. The receiver module operates for a time window of 12.5 µs every 500 µs, this being the time needed for the OWPT module to fully recover the energy to power the SLIPT internal unit. Post-layout simulations demonstrate that the proposed SLIPT system provides a final data throughput of 6 Mbps, an energy efficiency of 7 pJ/bit, and an OWPT module power transfer efficiency of 40%.
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