Transmission Policies for Energy Harvesting Sensors Based on Markov Chain Energy Supply
Journal Title: EAI Endorsed Transactions on Energy Web - Year 2016, Vol 3, Issue 8
Abstract
Due to the small energy harvesting rates and stochastic energy harvesting processes, energy management of energy harvesting senor is still crucial for body network. Transmission polices for energy harvesting sensors with Markov chain energy supply over time varying channels is formulated as an infinite discounted reward Markov Decision Problem under the assumption of geometric distribution of sensors’ lifetime. In this paper, we firstly propose a low-storage transmission policy based on probability of successful transmission for body network. Then we narrow the feasible region of parameters in our policies from the real domain to a discrete set with limited number, which makes the method of combing optimal equations and enumeration algorithm to obtain optimal parameters workable. Finally, numerical results show that our presented transmission policies can achieve a good approximated performance of optimal policies, which can be derived by policy iteration algorithm. Compared with the optimal policies, our presented policies has the advantage of low storage.
Authors and Affiliations
Wenxiang Zhu, Pingping Xu, Maozong Zheng, Guilu Wu, Honglei Wang
Keywords
Related Articles
- EP ID EP45147
- DOI http://dx.doi.org/10.4108/eai.28-9-2015.2261406
- Views 248
- Downloads 0
A quaternion-based Attitude Estimate System Based on a Low Power Consumption Inertial Measurement Unit
Accurate and real-time tracking of the orientation or attitude of rigid bodies has traditional applications in robotics, aerospace, underwater vehicles, human body motion capture, etc. Towards human body motion capture,...
Cys-modified zinc oxide 1D-nanostructures formation for gas sensors application
In this work, the ZnO-based materials were synthesized for gas sensors applications. The nanostructures formation was carried out by mild hydrothermal synthesis with the variations in surfactant concentration. The qualit...
EH-DBR: Energy Harvesting Depth Based Routing for Underwater Sensor Networks
Wireless sensor networks (WSNs) are network of physical small sensors which are interconnected through wireless links. WSNs are ubiquitous in diverse types of environment such as air interface and underwater acoustic com...
Centralized Mobile Users Assignment Strategies for Energy Management in Het-LTE Networks
Power consumption control paradigm constitutes an incentive solution for the serious energy issues faced by operators. In this work, we investigate two mobile users assignment strategies for energy management in heteroge...
Representative Delay Measurements (RDM): Facing the Challenge of Modern Networks
Network access technologies have evolved significantly in the last years. They deploy novel mechanisms like reactive capacity allocation and time-slotted operation to optimize overall network capacity. From a single node...