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Wireless Recharging Sensor Networks Cross-Layer Optimization Based on Successive Interference Cancellation
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Summary :
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.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E103-B No.9 pp.929-939
- Publication Date
- 2020/09/01
- Publicized
- 2020/03/11
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2019EBP3218
- Type of Manuscript
- PAPER
- Category
- Network
Authors
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 -
English
