Paper Info
Title
SWPT: A Joint-Scheduling Model for Wireless Powered Sensor Networks.
Abstract
In a rechargeable wireless sensor network, the data packets are generated by sensor nodes at a specific data rate, and transmitted to a base station. Moreover, the base station transfers power to the nodes by using Wireless Power Transfer (WPT) to extend their battery life. However, inadequately scheduling WPT and data collection causes some of the nodes to drain their battery and have their data buffer overflow, while the others waste their harvested energy, which is more than they need to transmit their packets. In this paper, we investigate a novel optimal scheduling strategy, called Scheduled WPT (SWPT), aiming to minimize data packet loss from a network of wireless powered sensor nodes by jointly considering the sensor nodes' energy consumption and data queue state information. The scheduling problem is formulated by a MDP model, assuming that the complete states of each sensor node are well known by the base station. This presents the best effort performance of the scheduling that can be collected in a wireless powered sensor network. The simulation results show that, in terms of network throughput and packet loss rate, the proposed scheduling model significantly improves the network performance.
Year
Venue
Keywords
2017
IEEE Global Communications Conference
wireless sensor network,wireless power transfer,markov decision process,scheduling,optimization
Field
DocType
ISSN
Sensor node,Base station,Computer science,Scheduling (computing),Network packet,Packet loss,Computer network,Real-time computing,Throughput,Wireless sensor network,Network performance
Conference
2334-0983
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Kai Li19715.65
Wei Ni247470.16
Lingjie Duan386862.07
Mehran Abolhasan445148.95
Jianwei Niu51643141.54