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http://dx.doi.org/10.5573/ieie.2016.53.11.032

A Hardwired Location-Aware Engine based on Weighted Maximum Likelihood Estimation for IoT Network  

Kim, Dong-Sun (Korea Electronics Technology Institute)
Park, Hyun-moon (Korea Electronics Technology Institute)
Hwang, Tae-ho (Korea Electronics Technology Institute)
Won, Tae-ho (Korea Electronics Technology Institute)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.53, no.11, 2016 , pp. 32-40 More about this Journal
Abstract
IEEE 802.15.4 is the one of the protocols for radio communication in a personal area network. Because of low cost and low power communication for IoT communication, it requires the highest optimization level in the implementation. Recently, the studies of location aware algorithm based on IEEE802.15.4 standard has been achieved. Location estimation is performed basically in equal consideration of reference node information and blind node information. However, an error is not calculated in this algorithm despite the fact that the coordinates of the estimated location of the blind node include an error. In this paper, we enhanced a conventual maximum likelihood estimation using weighted coefficient and implement the hardwired location aware engine for small code size and low power consumption. On the field test using test-beds, the suggested hardware based location awareness method results better accuracy by 10 percents and reduces both calculation and memory access by 30 percents, which improves the systems power consumption.
Keywords
IEEE802.15.4; LR-WPAN; Location Aware; IoT Sensor Network; VLSI;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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