Paper Info
Title
Goodput-maximised data delivery scheme for battery-free wireless sensor network
Abstract
In the battery-free wireless sensor network (BF-WSN) that harvests radio signal energy, data delivery suffers from a longer delay arising from the energy-harvesting period. It is significant to develop an energy-efficient, low-delay, and reliable data gathering scheme for the BF-WSN. The goodput-maximised data delivery scheme (GDDS) is proposed to reliably collect time-constrained data in the IEEE 802.15.4-based BF-WSN. Under the GDDS, the sink's operation period consists of multiple data gathering cycles with each incorporating three phases: charging the nodes, assigning channel occupation time for the nodes, and receiving packets from the nodes. The scheme of accumulating correct data blocks (SACDB) is used in the third phase for the sink to gather data from the nodes. The authors develop an analytical model for the SACDB, from which they derive the time and the energy consumed in transmitting a packet. Then, they derive the goodput and the energy efficiency under the proposed GDDS. The GDDS aims at maximising the goodput by optimising the charging period, the number of data blocks, and the maximum number of transmission trials under the constraint on data gathering time. Simulation results show the GDDS outperforms the existing schemes in terms of the goodput and energy efficiency.
Year
DOI
Venue
2020
10.1049/iet-com.2018.6215
IET Communications
Keywords
Field
DocType
wireless sensor networks,data communication,energy harvesting,telecommunication power management,energy conservation,Zigbee,telecommunication network reliability,channel allocation
Computer network,Real-time computing,Goodput,Data delivery,Battery (electricity),Wireless sensor network,Mathematics
Journal
Volume
Issue
ISSN
14
4
1751-8628
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Shuwei Qiu100.34
Yi-hua Zhu2287.45
Xianzhong Tian3359.68
Kaikai Chi411420.18