Sensor Placement For Wireless Localization

Oshiga, Omotayo; Aina, Oluwatomisin E.; Obadiah, Ali Nyangwarimam; Salihu, Ayuba; Koyunlu, Gokhan

doi:10.1109/icecco48375.2019.9043187

“…Therein, it was demonstrated that, by reformulating the CRLB based on frame theory [135], a more tractable cost function for the optimal placement problem can be found. In [126], the frame theory was also employed for optimizing the placement of ANs when RSS measurements were considered. Interestingly, a scenario with random deployment of ANs was considered in [125], where the goal was to optimize the position of an additional AN for improving the overall localization accuracy based on TOA measurements.…”

Section: Inter-node Distance Bearingmentioning

confidence: 99%

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

Najarro¹,

Song²,

Kim³

2021

Preprint

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With the advances in new technological trends and the reduction in prices of sensor nodes, wireless sensor networks (WSNs) and their applications are proliferating in several areas of our society such as healthcare, industry, farming, and housing. Accordingly, in recent years attention on localization has increased significantly since it is one of the main facets in any WSN. In a nutshell, localization is the process in which the position of any sensor node is retrieved by exploiting measurements from and between sensor nodes. Several techniques of localization have been proposed in the literature with different localization accuracy, complexity, and hence different applicability. The localization accuracy is limited by fundamental limitations, theoretical and practical, that restrict the localization accuracy regardless of the technique employed in the localization process. In this paper, we pay special attention to such fundamental limitations from the theoretical and practical points of view and provide a comprehensive review of the state-of-the-art solutions that deal with such limitations. Additionally, discussion on the theoretical and practical limitations together with their recent solutions, remaining challenges, and perspectives are presented.

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“…Therein, it was demonstrated that, by reformulating the CRLB based on frame theory [135], a more tractable cost function for the optimal placement problem can be found. In [126], the frame theory was also employed for optimizing the placement of ANs when RSS measurements were considered. Interestingly, a scenario with random deployment of ANs was considered in [125], where the goal was to optimize the position of an additional AN for improving the overall localization accuracy based on TOA measurements.…”

Section: Inter-node Distance Bearingmentioning

confidence: 99%

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

Najarro¹,

Song²,

Kim³

2021

Preprint

View full text Add to dashboard Cite

With the advances in new technological trends and the reduction in prices of sensor nodes, wireless sensor networks (WSNs) and their applications are proliferating in several areas of our society such as healthcare, industry, farming, and housing. Accordingly, in recent years attention on localization has increased significantly since it is one of the main facets in any WSN. In a nutshell, localization is the process in which the position of any sensor node is retrieved by exploiting measurements from and between sensor nodes. Several techniques of localization have been proposed in the literature with different localization accuracy, complexity, and hence different applicability. The localization accuracy is limited by fundamental limitations, theoretical and practical, that restrict the localization accuracy regardless of the technique employed in the localization process. In this paper, we pay special attention to such fundamental limitations from the theoretical and practical points of view and provide a comprehensive review of the state-of-the-art solutions that deal with such limitations. Additionally, discussion on the theoretical and practical limitations together with their recent solutions, remaining challenges, and perspectives are presented.

show abstract