Robust Power Allocation for Cooperative Localization in Jammed Wireless Sensor Networks
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 ac...
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2019-01-01
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Series: | Wireless Communications and Mobile Computing |
Online Access: | http://dx.doi.org/10.1155/2019/6904687 |
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doaj-0993a28b0d6e45edabf08a9cb0cef25a2020-11-24T21:25:44ZengHindawi-WileyWireless Communications and Mobile Computing1530-86691530-86772019-01-01201910.1155/2019/69046876904687Robust Power Allocation for Cooperative Localization in Jammed Wireless Sensor NetworksMingxing Ke0Shiwei Tian1Lu Lu2Chuang Wang3College of Communications Engineering, PLA Army Engineering University, Nanjing 210007, ChinaCollege of Communications Engineering, PLA Army Engineering University, Nanjing 210007, ChinaCollege of Communications Engineering, PLA Army Engineering University, Nanjing 210007, ChinaCollege of Communications Engineering, PLA Army Engineering University, Nanjing 210007, ChinaIn 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.http://dx.doi.org/10.1155/2019/6904687 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mingxing Ke Shiwei Tian Lu Lu Chuang Wang |
spellingShingle |
Mingxing Ke Shiwei Tian Lu Lu Chuang Wang Robust Power Allocation for Cooperative Localization in Jammed Wireless Sensor Networks Wireless Communications and Mobile Computing |
author_facet |
Mingxing Ke Shiwei Tian Lu Lu Chuang Wang |
author_sort |
Mingxing Ke |
title |
Robust Power Allocation for Cooperative Localization in Jammed Wireless Sensor Networks |
title_short |
Robust Power Allocation for Cooperative Localization in Jammed Wireless Sensor Networks |
title_full |
Robust Power Allocation for Cooperative Localization in Jammed Wireless Sensor Networks |
title_fullStr |
Robust Power Allocation for Cooperative Localization in Jammed Wireless Sensor Networks |
title_full_unstemmed |
Robust Power Allocation for Cooperative Localization in Jammed Wireless Sensor Networks |
title_sort |
robust power allocation for cooperative localization in jammed wireless sensor networks |
publisher |
Hindawi-Wiley |
series |
Wireless Communications and Mobile Computing |
issn |
1530-8669 1530-8677 |
publishDate |
2019-01-01 |
description |
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. |
url |
http://dx.doi.org/10.1155/2019/6904687 |
work_keys_str_mv |
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1725983254934192128 |