Performance optimization for energy harvesting cognitive cooperative networks with imperfect spectrum sensing

2018 ◽  
Vol 25 (8) ◽  
pp. 4611-4623
Author(s):  
Yao Wang ◽  
Xiaohui Zhao ◽  
Hui Liang
Keyword(s):  
Energy Harvesting ◽  
Spectrum Sensing ◽  
Performance Optimization ◽  
Cooperative Networks ◽  
Imperfect Spectrum Sensing

Wireless Sensor Network in IoT and Performance Optimization

2020 ◽  
Vol 13 ◽  
Author(s):  
Sunita Gupta ◽  
Sakar Gupta ◽  
Dinesh Goyal
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Energy Harvesting ◽  
Performance Optimization ◽  
Design Space ◽  
Life Time ◽  
Wireless Sensor ◽  
Topology Management ◽  
Management Application ◽  
Energy Latency

: A serious problem in Wireless Sensor Networks (WSNs) is to attain high-energy efficiency as battery is used to power and have limited stored energy. They can’t be suitably replaced or recharged. Appearance of renewable energy harvesting techniques and their combination with sensor devices gives Energy Harvesting Wireless Sensor Networks (EHWSNs). IoT is now becoming part of our lives, comforting simplifying our routines and work life. IoT is very popular . It connects together, computes, communicates and performs the required task. IoT is actually a network of physical devices or things that can interact with each other to share information. This paper gives an overview of WSN and IoT, related work, different ways of connecting WSN with internet, development of smart home, challenges for WSN etc. Next a Framework for performance optimization in IoT is given and QC-PC-MCSC heuristic is analyzed in terms of Energy Efficiency and Life Time of a sensor on Energy Latency Density Design Space, a topology management application that is power efficient. QC-PC-MCSC and QC-MCSC are compared for Energy Efficiency and Life Time of a sensor over energy latency density design space, a topology management application.

scholarly journals SWIPT in mMIMO system with non-linear energy-harvesting terminals: protocol design and performance optimization

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Kui Xu ◽  
Ming Zhang ◽  
Jie Liu ◽  
Nan Sha ◽  
Wei Xie ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Performance Optimization ◽  
Power Transmission ◽  
Base Station ◽  
Second Phase ◽  
Wireless Power ◽  
Half Duplex ◽  
Non Linear ◽  
Two Phases ◽  
And Performance

Abstract In this paper, we design the simultaneous wireless information and power transfer (SWIPT) protocol for massive multi-input multi-output (mMIMO) system with non-linear energy-harvesting (EH) terminals. In this system, the base station (BS) serves a set of uplink fixed half-duplex (HD) terminals with non-linear energy harvester. Considering the non-linearity of practical energy-harvesting circuits, we adopt the realistic non-linear EH model rather than the idealistic linear EH model. The proposed SWIPT protocol can be divided into two phases. The first phase is designed for terminals EH and downlink training. A beam domain energy beamforming method is employed for the wireless power transmission. In the second phase, the BS forms the two-layer receive beamformers for the reception of signals transmitted by terminals. In order to improve the spectral efficiency (SE) of the system, the BS transmit power- and time-switching ratios are optimized. Simulation results show the superiority of the proposed beam-domain SWIPT protocol on SE performance compared with the conventional mMIMO SWIPT protocols.

RF Energy Transfer for Cooperative Networks: Data Relaying or Energy Harvesting?

2012 ◽  
Vol 16 (11) ◽  
pp. 1772-1775 ◽  
Author(s):  
Ioannis Krikidis ◽  
Stelios Timotheou ◽  
Shigenobu Sasaki
Keyword(s):  
Energy Transfer ◽  
Energy Harvesting ◽  
Cooperative Networks ◽  
Rf Energy

Toward secure energy harvesting cooperative networks

2015 ◽  
Vol 53 (8) ◽  
pp. 114-121 ◽  
Author(s):  
Jiawen Kang ◽  
Rong Yu ◽  
Sabita Maharjan ◽  
Yan Zhang ◽  
Xumin Huang ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Cooperative Networks

Relaying protocols for buffer‐aided energy harvesting wireless cooperative networks

IET Networks ◽  
2018 ◽  
Vol 7 (3) ◽  
pp. 109-118 ◽  
Author(s):  
Jun Zhan ◽  
Yong Liu ◽  
Xiaohu Tang ◽  
Qingchun Chen
Keyword(s):  
Energy Harvesting ◽  
Cooperative Networks ◽  
Relaying Protocols
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