Wireless Powered Communication Networks Using Peer Harvesting
In this paper, we consider a wireless powered communication (WPC) network consisting of one hybrid access point (H-AP) and K wireless nodes. The H-AP broadcasts wireless energy to nodes in the downlink and receives information from K nodes abided by TDMA protocol in the uplink. The wireless nodes ha...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2017-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/7858747/ |
| _version_ | 1818618564993613824 |
|---|---|
| author | Zhibin Xie Yunfei Chen Yan Gao Yajun Wang Yinjie Su |
| author_facet | Zhibin Xie Yunfei Chen Yan Gao Yajun Wang Yinjie Su |
| author_sort | Zhibin Xie |
| collection | DOAJ |
| description | In this paper, we consider a wireless powered communication (WPC) network consisting of one hybrid access point (H-AP) and K wireless nodes. The H-AP broadcasts wireless energy to nodes in the downlink and receives information from K nodes abided by TDMA protocol in the uplink. The wireless nodes have energy harvesting capabilities and can harvest energy from H-AP and other nodes in different assigned time slots. We propose two new schemes for the WPC network that perform energy harvesting among peer nodes. In the first scheme, each wireless node harvests energy from peer nodes transmitting in the previous time slots, while each wireless node harvests energy from all nodes in the second scheme. The maximization of the sum achievable throughput and the minimization of the required harvested energy are studied. An effective heuristic optimization algorithm is proposed to solve them. The contribution of this work includes the proposal of two new peer harvesting schemes, the formulation of two relevant optimizations and their solutions using heuristic optimization algorithm, which has better technical adaptability for solving complicated objective functions. Simulation results demonstrate the effectiveness of the proposed schemes in WPC networks. |
| first_indexed | 2024-12-16T17:23:36Z |
| format | Article |
| id | doaj.art-928ba78f39f947cb97b16f87ffe1d691 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T17:23:36Z |
| publishDate | 2017-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-928ba78f39f947cb97b16f87ffe1d6912022-12-21T22:23:06ZengIEEEIEEE Access2169-35362017-01-0153454346410.1109/ACCESS.2017.26713387858747Wireless Powered Communication Networks Using Peer HarvestingZhibin Xie0https://orcid.org/0000-0003-4440-0076Yunfei Chen1Yan Gao2Yajun Wang3Yinjie Su4Department of Electronics, School of Electronic and Information, Jiangsu University of Science and Technology, Zhenjiang, ChinaSchool of Engineering, University of Warwick, Coventry, U.K.School of Electronic and Information, Nanjing College of Information Technology, Nanjing, ChinaDepartment of Information and Computing Sciences, School of Mathematics and Physics, Jiangsu University of Science and Technology, Zhenjiang, ChinaDepartment of Electronics, School of Electronic and Information, Jiangsu University of Science and Technology, Zhenjiang, ChinaIn this paper, we consider a wireless powered communication (WPC) network consisting of one hybrid access point (H-AP) and K wireless nodes. The H-AP broadcasts wireless energy to nodes in the downlink and receives information from K nodes abided by TDMA protocol in the uplink. The wireless nodes have energy harvesting capabilities and can harvest energy from H-AP and other nodes in different assigned time slots. We propose two new schemes for the WPC network that perform energy harvesting among peer nodes. In the first scheme, each wireless node harvests energy from peer nodes transmitting in the previous time slots, while each wireless node harvests energy from all nodes in the second scheme. The maximization of the sum achievable throughput and the minimization of the required harvested energy are studied. An effective heuristic optimization algorithm is proposed to solve them. The contribution of this work includes the proposal of two new peer harvesting schemes, the formulation of two relevant optimizations and their solutions using heuristic optimization algorithm, which has better technical adaptability for solving complicated objective functions. Simulation results demonstrate the effectiveness of the proposed schemes in WPC networks.https://ieeexplore.ieee.org/document/7858747/Energy harvestingmaximization of sum achievable throughputminimization of required harvested energyparticle swarm optimizationwireless power |
| spellingShingle | Zhibin Xie Yunfei Chen Yan Gao Yajun Wang Yinjie Su Wireless Powered Communication Networks Using Peer Harvesting IEEE Access Energy harvesting maximization of sum achievable throughput minimization of required harvested energy particle swarm optimization wireless power |
| title | Wireless Powered Communication Networks Using Peer Harvesting |
| title_full | Wireless Powered Communication Networks Using Peer Harvesting |
| title_fullStr | Wireless Powered Communication Networks Using Peer Harvesting |
| title_full_unstemmed | Wireless Powered Communication Networks Using Peer Harvesting |
| title_short | Wireless Powered Communication Networks Using Peer Harvesting |
| title_sort | wireless powered communication networks using peer harvesting |
| topic | Energy harvesting maximization of sum achievable throughput minimization of required harvested energy particle swarm optimization wireless power |
| url | https://ieeexplore.ieee.org/document/7858747/ |
| work_keys_str_mv | AT zhibinxie wirelesspoweredcommunicationnetworksusingpeerharvesting AT yunfeichen wirelesspoweredcommunicationnetworksusingpeerharvesting AT yangao wirelesspoweredcommunicationnetworksusingpeerharvesting AT yajunwang wirelesspoweredcommunicationnetworksusingpeerharvesting AT yinjiesu wirelesspoweredcommunicationnetworksusingpeerharvesting |