Paper Info
Title
Structural Properties of Optimal Transmission Policies for Delay-Sensitive Energy Harvesting Wireless Sensors
Abstract
We consider an energy harvesting sensor transmit- ting latency-sensitive data over a fading channel. We aim to find the optimal transmission scheduling policy that minimizes the packet queuing delay given the available harvested energy. We formulate the problem as a Markov decision process (MDP) over a state-space spanned by the transmitter's buffer, battery, and channel states, and analyze the structural properties of the resulting optimal value function, which quantifies the long-run performance of the optimal scheduling policy. We show that the optimal value function (i) is non- decreasing and has increasing differences in the queue backlog; (ii) is non-increasing and has increasing differences in the battery state; and (iii) is submodular in the buffer and battery states. Our numerical results confirm these properties and demonstrate that the optimal scheduling policy outperforms a so-called greedy policy in terms of sensor outages, buffer overflows, energy efficiency, and queuing delay.
Year
DOI
Venue
2018
10.1109/ICC.2018.8422092
2018 IEEE International Conference on Communications (ICC)
Keywords
DocType
Volume
channel states,structural properties,long-run performance,optimal scheduling policy,battery state,greedy policy,sensor outages,energy efficiency,queuing delay,optimal transmission policies,delay-sensitive energy,wireless sensors,energy harvesting sensor transmit,latency-sensitive data,fading channel,optimal transmission scheduling policy,available harvested energy,Markov decision process,optimal value function
Conference
abs/1803.09778
ISSN
ISBN
Citations 
1550-3607
978-1-5386-3181-2
0
PageRank 
References 
Authors
0.34
13
3
Name
Order
Citations
PageRank
Nikhilesh Sharma152.42
Nicholas Mastronarde224026.93
Jacob Chakareski353258.87