The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
조회수
115
무선 센서 네트워크(WSN)에서는 통신 간섭과 센서 노드의 에너지 제한으로 인해 처리량, 네트워크 수명 등 네트워크 성능이 심각하게 저하됩니다. 본 논문에서는 동시성 통신을 구현하고 네트워크 처리량, 채널 활용률을 향상시키기 위한 경험적 전력 제어 알고리즘과 효율적인 교차 계층 전략을 설계하는 것을 목표로 하는 SIC(Successive Interference Cancellation) 및 WET(Wireless Energy Transmission) 기술에 중점을 둡니다. 그리고 네트워크 수명. 우리는 이 문제의 과제는 통신 간섭과 에너지 부족을 함께 고려하면 문제 모델이 더욱 복잡해진다는 점을 알고 있습니다. 문제를 효율적으로 해결하기 위해 링크 스케줄링 전략, 타임 슬라이스 스케줄링 방식 및 에너지 소비 최적화 프로토콜을 채택하여 교차 계층 최적화 문제를 구성한 다음 근사 선형화 방법을 사용하여 이를 동일한 최적 값을 산출하는 선형 문제로 변환합니다. 이를 해결하여 무선충전장비(WCE)의 최적 업무 전략을 도출합니다. 시뮬레이션 결과에 따르면 SIC 및 WCE를 채택하면 통신 성능과 채널 활용률이 크게 향상되고 처리량을 200%~500% 늘리면서 네트워크 수명을 연장할 수 있는 것으로 나타났습니다.
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
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
부
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
부
@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},}
부
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 -