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

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.

Sensors ◽  
2009 ◽  
Vol 9 (7) ◽  
pp. 5390-5422 ◽  
Author(s):  
Luca Consolini ◽  
Paolo Medagliani ◽  
Gianluigi Ferrari

Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4665 ◽  
Author(s):  
Zhaoyang Wang ◽  
Xuebo Jin ◽  
Xiaoyi Wang ◽  
Jiping Xu ◽  
Yuting Bai

Reliable and accurate localization of objects is essential for many applications in wireless networks. Especially for large-scale wireless sensor networks (WSNs), both low cost and high accuracy are targets of the localization technology. However, some range-free methods cannot be combined with a cooperative method, because these range-free methods are characterized by low accuracy of distance estimation. To solve this problem, we propose a hard decision-based cooperative localization method. For distance estimation, an exponential distance calibration formula is derived to estimate distance. In the cooperative phase, the cooperative method is optimized by outlier constraints from neighboring anchors. Simulations are conducted to verify the effectiveness of the proposed method. The results show that localization accuracy is improved in different scenarios, while high node density or anchor density contributes to the localization. For large-scale WSNs, the hard decision-based cooperative localization is proved to be effective.


2018 ◽  
Vol 32 (1) ◽  
pp. e3842 ◽  
Author(s):  
Kaouther Hehdly ◽  
Mohamed Laaraiedh ◽  
Fatma Abdelkefi ◽  
Mohamed Siala

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 54097-54105 ◽  
Author(s):  
Shengming Chang ◽  
Youming Li ◽  
Hui Wang ◽  
Wenfei Hu ◽  
Yongqing Wu

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