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Joint Power-Rate-Slot Resource Allocation in Energy Harvesting-Powered Wireless Body Area Networks.

Authors :
Liu, Zhiqiang
Liu, Bin
Chen, Chang Wen
Source :
IEEE Transactions on Vehicular Technology. Dec2018, Vol. 67 Issue 12, p12152-12164. 13p.
Publication Year :
2018

Abstract

Wireless body area network (WBAN) has become a promising network for continuous health monitoring of various diseases. The limited energy of sensors in WBAN cannot support the long-term work with the high requirements of Quality of Service (QoS) for health applications. Energy harvesting (EH)-powered WBAN, which can provide uninterrupted work, has attracted more attention from both academic and industry. However, the time-varying and heterogeneous EH states of different sensors become an important factor when designing the resource allocation schemes in EH-powered WBAN. In this paper, we propose a novel two-phase resource allocation scheme, which optimizes the allocation of the transmission power, the source rate and the time slots to improve the QoS performances of EH-powered WBAN. In the first phase, we investigate that the statistical knowledge of energy harvesting to measure the long-term QoS performances, and then a joint power-rate control scheme is proposed to optimize the transmission power and the source rate for ensuring the long-term QoS performance. Moreover, we design a QoS aware slot allocation scheme to dynamically adjust the time slot allocation to cope with the time-varying and heterogeneous EH states for obtaining better short-term QoS performances in the second phase. Finally, numerical simulation results demonstrate that the proposed joint power-rate-slot resource allocation scheme of EH-powered WBANs can efficiently exploit the time-varying EH to improve both the long-term and short-term QoS performances. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189545
Volume :
67
Issue :
12
Database :
Academic Search Index
Journal :
IEEE Transactions on Vehicular Technology
Publication Type :
Academic Journal
Accession number :
133668122
Full Text :
https://doi.org/10.1109/TVT.2018.2872960