scholarly journals Cooperative Dynamic Game-Based Optimal Power Control in Wireless Sensor Network Powered by RF Energy

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2393 ◽  
Author(s):  
Manxi Wang ◽  
Haitao Xu ◽  
Xianwei Zhou
Keyword(s):  
Power Control ◽  
Dynamic Game ◽  
Wireless Sensor ◽  
Maximization Problem ◽  
Feedback Nash Equilibrium ◽  
Time Duration ◽  
Optimal Power ◽  
Rf Energy ◽  
Optimal Power Control ◽  
Utility Maximization Problem

This paper focuses on optimal power control in wireless sensor networks powered by RF energy, under the simultaneous wireless information and power transfer (SWIFT) protocol, where the information and power can be transmitted at the same time. We aim to maximize the utility for each sensor through the optimal power control, considering the influences of both the SINR and the harvested energy. The utility maximization problem is formulated as a cooperative dynamic game of a given time duration. All the sensors cooperate together to control their transmission power to maximize the utility and agree to act cooperatively so that a team optimum can be achieved. As a result, a feedback Nash equilibrium solution for each sensor is given based on the dynamic programming theory. Simulation results verify the effectiveness of the proposed approach, by comparing the grand coalition solutions with the non-cooperative solutions.

scholarly journals Optimal Power Control in Wireless Powered Sensor Networks: A Dynamic Game-Based Approach

Sensors ◽  
2017 ◽  
Vol 17 (3) ◽  
pp. 547 ◽  
Author(s):  
Haitao Xu ◽  
Chao Guo ◽  
Long Zhang
Keyword(s):  
Sensor Networks ◽  
Power Control ◽  
Dynamic Game ◽  
Optimal Power ◽  
Optimal Power Control

scholarly journals Efficient and Secure Routing Protocol for Wireless Sensor Networks through Optimal Power Control and Optimal Handoff-Based Recovery Mechanism

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
S. Ganesh ◽  
R. Amutha
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Power Control ◽  
Routing Protocol ◽  
Control Mechanism ◽  
Secure Routing ◽  
Wireless Sensor ◽  
Optimal Power ◽  
Secure Routing Protocol ◽  
Optimal Power Control

Advances in wireless sensor network (WSN) technology have provided the availability of small and low-cost sensor with capability of sensing various types of physical and environmental conditions, data processing, and wireless communication. In WSN, the sensor nodes have a limited transmission range, and their processing and storage capabilities as well as their energy resources are also limited. Modified triple umpiring system (MTUS) has already proved its better performance in Wireless Sensor Networks. In this paper, we extended the MTUS by incorporating optimal signal to noise ratio (SNR)-based power control mechanism and optimal handoff-based self-recovery features to form an efficient and secure routing for WSN. Extensive investigation studies using Glomosim-2.03 Simulator show that efficient and secure routing protocol (ESRP) with optimal power control mechanism, and handoff-based self-recovery can significantly reduce the power usage.

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