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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
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Dans les réseaux de capteurs sans fil (WSN), les interférences de communication et la limitation énergétique des nœuds de capteurs entravent sérieusement les performances du réseau, telles que le débit et la durée de vie du réseau. Dans cet article, nous nous concentrons sur la technologie d'annulation des interférences successives (SIC) et de transmission d'énergie sans fil (WET) visant à concevoir un algorithme heuristique de contrôle de puissance et une stratégie multicouche efficace pour réaliser une communication simultanée et améliorer le débit du réseau et le taux d'utilisation des canaux. et la durée de vie du réseau. Nous sommes conscients que le défi de ce problème réside dans le fait que la prise en compte conjointe des interférences de communication et du manque d’énergie rend le modèle du problème plus complexe. Pour résoudre le problème efficacement, nous adoptons une stratégie de planification des liens, un schéma de planification par tranche de temps et un protocole d'optimisation de la consommation d'énergie pour construire un problème d'optimisation multicouche, puis utilisons une méthode de linéarisation approximative pour le transformer en un problème linéaire qui donne une valeur optimale identique et résolvez-le pour obtenir la stratégie de travail optimale de l’équipement de charge sans fil (WCE). Les résultats de simulation montrent que l'adoption de SIC et WCE peut améliorer considérablement la capacité de communication et le taux d'utilisation des canaux, et augmenter le débit de 200 % à 500 % tout en prolongeant la durée de vie du réseau.
Juan XU
HeFei University of Technology,Ministry of Education
Xingxin XU
HeFei University of Technology
Xu DING
HeFei University of Technology,Ministry of Education
Lei SHI
HeFei University of Technology,Ministry of Education
Yang LU
HeFei University of Technology,Ministry of Education
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Juan XU, Xingxin XU, Xu DING, Lei SHI, Yang LU, "Wireless Recharging Sensor Networks Cross-Layer Optimization Based on Successive Interference Cancellation" in IEICE TRANSACTIONS on Communications,
vol. E103-B, no. 9, pp. 929-939, September 2020, doi: 10.1587/transcom.2019EBP3218.
Abstract: In wireless sensor networks (WSN), communication interference and the energy limitation of sensor nodes seriously hamper the network performance such as throughput and network lifetime. In this paper, we focus on the Successive Interference Cancellation (SIC) and Wireless Energy Transmission (WET) technology aiming to design a heuristic power control algorithm and an efficient cross-layer strategy to realize concurrency communication and improve the network throughput, channel utilization ratio and network lifetime. We realize that the challenge of this problem is that joint consideration of communication interference and energy shortage makes the problem model more complicated. To solve the problem efficiently, we adopt link scheduling strategy, time-slice scheduling scheme and energy consumption optimization protocol to construct a cross-layer optimization problem, then use an approximate linearization method to transform it into a linear problem which yields identical optimal value and solve it to obtain the optimal work strategy of wireless charging equipment (WCE). Simulation results show that adopting SIC and WCE can greatly improve communication capability and channel utilization ratio, and increase throughput by 200% to 500% while prolonging the network lifetime.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2019EBP3218/_p
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@ARTICLE{e103-b_9_929,
author={Juan XU, Xingxin XU, Xu DING, Lei SHI, Yang LU, },
journal={IEICE TRANSACTIONS on Communications},
title={Wireless Recharging Sensor Networks Cross-Layer Optimization Based on Successive Interference Cancellation},
year={2020},
volume={E103-B},
number={9},
pages={929-939},
abstract={In wireless sensor networks (WSN), communication interference and the energy limitation of sensor nodes seriously hamper the network performance such as throughput and network lifetime. In this paper, we focus on the Successive Interference Cancellation (SIC) and Wireless Energy Transmission (WET) technology aiming to design a heuristic power control algorithm and an efficient cross-layer strategy to realize concurrency communication and improve the network throughput, channel utilization ratio and network lifetime. We realize that the challenge of this problem is that joint consideration of communication interference and energy shortage makes the problem model more complicated. To solve the problem efficiently, we adopt link scheduling strategy, time-slice scheduling scheme and energy consumption optimization protocol to construct a cross-layer optimization problem, then use an approximate linearization method to transform it into a linear problem which yields identical optimal value and solve it to obtain the optimal work strategy of wireless charging equipment (WCE). Simulation results show that adopting SIC and WCE can greatly improve communication capability and channel utilization ratio, and increase throughput by 200% to 500% while prolonging the network lifetime.},
keywords={},
doi={10.1587/transcom.2019EBP3218},
ISSN={1745-1345},
month={September},}
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TY - JOUR
TI - Wireless Recharging Sensor Networks Cross-Layer Optimization Based on Successive Interference Cancellation
T2 - IEICE TRANSACTIONS on Communications
SP - 929
EP - 939
AU - Juan XU
AU - Xingxin XU
AU - Xu DING
AU - Lei SHI
AU - Yang LU
PY - 2020
DO - 10.1587/transcom.2019EBP3218
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E103-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2020
AB - In wireless sensor networks (WSN), communication interference and the energy limitation of sensor nodes seriously hamper the network performance such as throughput and network lifetime. In this paper, we focus on the Successive Interference Cancellation (SIC) and Wireless Energy Transmission (WET) technology aiming to design a heuristic power control algorithm and an efficient cross-layer strategy to realize concurrency communication and improve the network throughput, channel utilization ratio and network lifetime. We realize that the challenge of this problem is that joint consideration of communication interference and energy shortage makes the problem model more complicated. To solve the problem efficiently, we adopt link scheduling strategy, time-slice scheduling scheme and energy consumption optimization protocol to construct a cross-layer optimization problem, then use an approximate linearization method to transform it into a linear problem which yields identical optimal value and solve it to obtain the optimal work strategy of wireless charging equipment (WCE). Simulation results show that adopting SIC and WCE can greatly improve communication capability and channel utilization ratio, and increase throughput by 200% to 500% while prolonging the network lifetime.
ER -