Resilience through multicast – An optimization model for multi-hop wireless sensor networks

Ostrowski, Bartlomiej; Pióro, Michał; Tomaszewski, Artur; Fitzgerald, Emma

doi:10.1016/j.adhoc.2020.102239

Cited by 5 publications

(3 citation statements)

References 15 publications

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“…42,43 Select examples of metal-nitrosyl complexes have been used in isolated tissues without encapsulation, but their toxicity has yet to be evaluated. [44][45][46][47] On the other hand, organic photoNORMs that typically offer greater stability in biological samples have also been developed. The first examples required the use of damaging UV irradiation to release NO from caged diazeniumdiolates, 48 aryl N-nitrosamines, 49 and nitrobenzenes.…”

Section: ■ Introductionmentioning

confidence: 99%

Near-Infrared Photoactivatable Nitric Oxide Donors with Integrated Photoacoustic Monitoring

et al. 2018

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Photoacoustic (PA) tomography is a noninvasive technology that utilizes near-infrared (NIR) excitation and ultrasonic detection to image biological tissue at centimeter depths. While several activatable small-molecule PA sensors have been developed for various analytes, the use of PA molecules for deep-tissue analyte delivery and monitoring remains an underexplored area of research. Herein, we describe the synthesis, characterization, and in vivo validation of photoNOD-1 and photoNOD-2, the first organic, NIR-photocontrolled nitric oxide (NO) donors that incorporate a PA readout of analyte release. These molecules consist of an aza-BODIPY dye appended with an aryl N-nitrosamine NO-donating moiety. The photoNODs exhibit chemostability to various biological stimuli, including redox-active metals and CYP450 enzymes, and demonstrate negligible cytotoxicity in the absence of irradiation. Upon single-photon NIR irradiation, photoNOD-1 and photoNOD-2 release NO as well as rNOD-1 or rNOD-2, PA-active products that enable ratiometric monitoring of NO release. Our in vitro studies show that, upon irradiation, photoNOD-1 and photoNOD-2 exhibit 46.6-fold and 21.5-fold ratiometric turn-ons, respectively. Moreover, unlike existing NIR NO donors, the photoNODs do not require encapsulation or multiphoton activation for use in live animals. In this study, we use PA tomography to monitor the local, irradiation-dependent release of NO from photoNOD-1 and photoNOD-2 in mice after subcutaneous treatment. In addition, we use a murine model for breast cancer to show that photoNOD-1 can selectively affect tumor growth rates in the presence of NIR light stimulation following systemic administration.

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Section: ■ Introductionmentioning

confidence: 99%

Near-Infrared Photoactivatable Nitric Oxide Donors with Integrated Photoacoustic Monitoring

et al. 2018

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“…Some works also studied how to improve the reliability of routing, such as the redundancy mechanism and the fast rerouting mechanism [33].…”

Section: Related Workmentioning

confidence: 99%

“…Some works also studied how to improve the reliability of routing, such as the redundancy mechanism and the fast rerouting mechanism [33]. Mathews et al [34] proposed an OB-EWMA (Outlier Bounded Exponential Weighted Moving Average) as link metrics for reliability-constrained routing in contention-based wireless networks to estimate stable link reliability.…”

Section: Routing Reliabilitymentioning

confidence: 99%

An efficient and reliable service customized routing mechanism based on deep learning in IPv6 network

Wang

et al. 2022

IET Communications

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Best-effort service model of traditional routing is gradually hard to meet the personalized demands under the rapid development of network technologies (e.g. 5G and IPv6). Therefore, service customization should be considered. In this work, a service customized routing mechanism based on deep learning in IPv6 network is proposed, which includes deep learning-based service customization module, reliability evaluation module, and routing calculation module. The first module uses neural network to learn the complex service customization function, which can quickly output win-win customized service strategies based on user demands. The second module can quantify the reliability of service routing paths, where not only the link status of IPv6 Neighbor Unreachable Detection (NUD) is considered, but also propose link performance weights to ensure the reliability of differentiated service performance. The third module uses the gray wolf optimization algorithm to calculate an optimal routing path to forward services with the customized strategies as the constraints and the maximum reliability and minimum cost as the goal. Finally, the mechanism is tested on the IPv6 Source Address Validation Improvement (SAVI) platform, which can reduce the execution time by 12.25% and improve the average routing reliability, user and ISP satisfaction by 9.0%, 40.45% and 7.4%, respectively.

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A multi-hop protocol using advanced multi-hop Dijkstras algorithm and tree based remote vector for wireless sensor network

Hariharan

Rajkumar

Akilan

et al. 2021

J Ambient Intell Human Comput

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Resilience through multicast – An optimization model for multi-hop wireless sensor networks

Cited by 5 publications

References 15 publications

Near-Infrared Photoactivatable Nitric Oxide Donors with Integrated Photoacoustic Monitoring

Near-Infrared Photoactivatable Nitric Oxide Donors with Integrated Photoacoustic Monitoring

An efficient and reliable service customized routing mechanism based on deep learning in IPv6 network

A multi-hop protocol using advanced multi-hop Dijkstras algorithm and tree based remote vector for wireless sensor network

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