Title
Joint Mobile Data Collection and Wireless Energy Transfer in Wireless Rechargeable Sensor Networks.
Abstract
In wireless rechargeable sensor networks (WRSNs), there is a way to use mobile vehicles to charge node and collect data. It is a rational pattern to use two types of vehicles, one is for energy charging, and the other is for data collecting. These two types of vehicles, data collection vehicles (DCVs) and wireless charging vehicles (WCVs), are employed to achieve high efficiency in both data gathering and energy consumption. To handle the complex scheduling problem of multiple vehicles in large-scale networks, a twice-partition algorithm based on center points is proposed to divide the network into several parts. In addition, an anchor selection algorithm based on the tradeoff between neighbor amount and residual energy, named AS-NAE, is proposed to collect the zonal data. It can reduce the data transmission delay and the energy consumption for DCVs' movement in the zonal. Besides, we design an optimization function to achieve maximum data throughput by adjusting data rate and link rate of each node. Finally, the effectiveness of proposed algorithm is validated by numerical simulation results in WRSNs.
Year
DOI
Venue
2017
10.3390/s17081881
SENSORS
Keywords
Field
DocType
data collection,wireless charging,network partition,adaptive anchor selection algorithm,optimization function
Network partition,Data collection,Wireless,Data transmission,Selection algorithm,Computer network,Engineering,Throughput,Energy consumption,Wireless sensor network
Journal
Volume
Issue
ISSN
17
8.0
1424-8220
Citations 
PageRank 
References 
9
0.52
37
Authors
6
Name
Order
Citations
PageRank
Ping Zhong1284.89
Ya-Ting Li290.52
Weirong Liu3173.65
Gui-Hua Duan490.52
Ying-Wen Chen5122.59
Neal Xiong690.52