scholarly journals Sensor Selection and Power Allocation Strategies for Energy Harvesting Wireless Sensor Networks

2016 ◽  
Vol 34 (12) ◽  
pp. 3685-3695 ◽  
Author(s):  
Miguel Calvo-Fullana ◽  
Javier Matamoros ◽  
Carles Anton-Haro
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Harvesting ◽  
Power Allocation ◽  
Sensor Selection ◽  
Wireless Sensor ◽  
Allocation Strategies

scholarly journals Fuzzy Power Allocation for Opportunistic Relay in Energy Harvesting Wireless Sensor Networks

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 17165-17176 ◽  
Author(s):  
Roomana Yousaf ◽  
Rizwan Ahmad ◽  
Waqas Ahmed ◽  
Abdul Haseeb
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Harvesting ◽  
Power Allocation ◽  
Wireless Sensor

scholarly journals Adjacency Matrix-Based Transmit Power Allocation Strategies in Wireless Sensor Networks

Sensors ◽  
2009 ◽  
Vol 9 (7) ◽  
pp. 5390-5422 ◽  
Author(s):  
Luca Consolini ◽  
Paolo Medagliani ◽  
Gianluigi Ferrari
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Power Allocation ◽  
Adjacency Matrix ◽  
Wireless Sensor ◽  
Transmit Power ◽  
Allocation Strategies

scholarly journals Robust Power Allocation for Cooperative Localization in Jammed Wireless Sensor Networks

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Mingxing Ke ◽  
Shiwei Tian ◽  
Lu Lu ◽  
Chuang Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Power Allocation ◽  
Wireless Sensor ◽  
Cooperative Localization ◽  
Sensor Localization ◽  
Localization Accuracy ◽  
Robust Power Allocation ◽  
Allocation Strategies ◽  
Localization Systems

In this paper, we propose robust power allocation strategies to improve the localization performance in cooperative wireless sensor localization systems when suffering interference of jammer nodes. In wireless sensor localization systems, transmitting power strategies will affect the localization accuracy and determine the lifetime of wireless sensor networks. At the same time, the power allocation problem will be evolution to a new challenge when there are jammed nodes. So in this paper, we first present the optimization framework in jammed cooperative localization systems. Moreover, the imperfect parameter estimations of agent and jammer nodes are considered to develop robust power allocation strategies. In particular, this problem can be transformed into second-order cone programs (SOCPs) to obtain the end solution. Numerical results show the proposed power allocation strategies can achieve better performance than uniform power allocation and the robust schemes can ensure lower localization error than nonrobust power control when systems are subject to uncertainty.

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