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Article

Successive Interference Cancellation Based Throughput Optimization for Multi-Hop Wireless Rechargeable Sensor Networks

by 1,2, 1,2, 2,*, 1,2 and 2
1
Institute of Industry and Equipment Technology, HeFei University of Technology, Hefei 230009, China
2
School of Computer and Information, Hefei University of Technology, Hefei 230009, China
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in Zhang, P.; Ding, X.; Wang, J.; Xu, J. Multi-Hop Recharging Sensor Wireless Networks Optimization With Successive Interference Cancellation. In Proceedings of the International Conference on Wireless Algorithms, Systems, and Applications, Honolulu, HI, USA, 24–26 June 2019.
Sensors 2020, 20(2), 327; https://doi.org/10.3390/s20020327
Received: 17 November 2019 / Revised: 21 December 2019 / Accepted: 23 December 2019 / Published: 7 January 2020
(This article belongs to the Special Issue IoT-Enabled Sensor Networks: Vision and Challenges)
Wireless Sensor Networks are constrained by low channel utilization and limited battery capacity, so they are widely regarded as the mainly performance bottlenecks. In this paper, in order to improve channel utilization and prolong network lifetime, we investigate the cooperation of multi-hop Wireless Rechargeable Sensor Networks (WRSNs) with Successive Interference Cancellation (SIC) technology. In WRSNs, since the flow rate of each node is unknown, the power of the nodes is not constant. However, SIC will not work if the signal power levels at receive node cannot be sorted. To solve this issue, we first construct a minimum energy routing and unify the transmit rate to determine the transmit power. We can also obtain the time scheduling scheme after determining the routing and power. Next, we formulate an optimization problem, with the objective of maximizing the mobile charger’s vacation time over the rechargeable cycle. Finally, we provide a near-optimal solution and prove its feasible performance. Simulation results present that SIC can achieve the better upper boundary on throughput (compared to inference avoidance increasing about 180–450%) and no extra transmit and receive energy consumption in the multi-hop WRSNs. View Full-Text
Keywords: network lifetime; successive interference cancellation; multi-hop wireless network; interference management; wireless rechargeable sensor networks network lifetime; successive interference cancellation; multi-hop wireless network; interference management; wireless rechargeable sensor networks
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MDPI and ACS Style

Zhang, P.; Ding, X.; Xu, J.; Wang, J.; Shi, L. Successive Interference Cancellation Based Throughput Optimization for Multi-Hop Wireless Rechargeable Sensor Networks. Sensors 2020, 20, 327. https://doi.org/10.3390/s20020327

AMA Style

Zhang P, Ding X, Xu J, Wang J, Shi L. Successive Interference Cancellation Based Throughput Optimization for Multi-Hop Wireless Rechargeable Sensor Networks. Sensors. 2020; 20(2):327. https://doi.org/10.3390/s20020327

Chicago/Turabian Style

Zhang, Peng, Xu Ding, Juan Xu, Jing Wang, and Lei Shi. 2020. "Successive Interference Cancellation Based Throughput Optimization for Multi-Hop Wireless Rechargeable Sensor Networks" Sensors 20, no. 2: 327. https://doi.org/10.3390/s20020327

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