Title
An optimal energy allocation algorithm for energy harvesting wireless sensor networks
Abstract
With the use of energy harvesting technologies, the lifetime of a wireless sensor network (WSN) can be prolonged significantly. Unlike a traditional WSN powered by non-rechargeable batteries, the energy management policy of an energy harvesting WSN needs to take into account the energy replenishment process. In this paper, we study the energy allocation for sensing and transmission in an energy harvesting sensor node with a rechargeable battery and a finite data buffer. The sensor node aims to maximize the total throughput in a finite horizon subject to time-varying energy harvesting rate, energy availability in the battery, and channel fading. We formulate the energy allocation problem as a sequential decision problem and propose an optimal energy allocation (OEA) algorithm using dynamic programming. We conduct simulations to compare the performance between our proposed OEA algorithm and the channel-aware energy allocation (CAEA) algorithm from [1]. Simulation results show that the OEA algorithm achieves a higher throughput than the CAEA algorithm under different settings.
Year
DOI
Venue
2012
10.1109/ICC.2012.6364174
ICC
Keywords
Field
DocType
channel-aware energy allocation algorithm,energy harvesting technology,time-varying energy harvesting rate,energy allocation problem,energy harvesting sensor node,fading channels,buffer storage,channel fading,channel allocation,energy harvesting,oea algorithm,optimal energy allocation algorithm,caea algorithm,energy replenishment process,energy management policy,sequential decision problem,finite data buffer,nonrechargeable battery,energy availability,wireless sensor networks,dynamic programming,wsn energy harvesting,resource management,energy management,sensors,throughput
Sensor node,Dynamic programming,Energy management,Computer science,Fading,Energy harvesting,Algorithm,Computer network,Real-time computing,Throughput,Wireless sensor network,Channel allocation schemes
Conference
ISSN
ISBN
Citations 
1550-3607 E-ISBN : 978-1-4577-2051-2
978-1-4577-2051-2
31
PageRank 
References 
Authors
1.18
10
3
Name
Order
Citations
PageRank
Shaobo Mao1622.14
Man Hon Cheung234221.02
Vincent W. S. Wong31696124.91