Asset Localization in Industrial Wireless Sensor Networks based on Ultra Wideband Technology
Ramy Said Agieb;
Abstract
Asset localization implies adding more features in Wireless Sensor Networks (WSN), such as object searching and tracking capability. Ultra Wideband (UWB) wireless technology offers greater resistance to multipath fading, coexists with other wireless devices, and potentially lowers power consumption. Therefore, UWB technology inherently enables the accurate localization of assets. Asset localization depends on extracting parameters from exchanging messages between reference and target nodes.
In this thesis, localization algorithms based on extract time parameter scheme using IEEE802.15.4a”industrial environment”. Matlab is used to simulate and test the channel model. Asset localization depends on UWB technology. UWB technology uses very narrow pulses to communicate between transmitter and receiver (no carrier). The UWB pulse must satisfy the emission mask of Federal Commission committee (FCC) to prevent the intersection between the UWB applications and other applications. In most cases, the popular pulses don’t satisfy the FCC emission mask. The reshaping algorithm proposes a technique that forces the different pulses to be inside the FCC emission mask. The most popular pulses (Hermite, Raised-Cosine, and Gaussian) are simulated to show the effect of the proposed reshaping algorithm. A new proposed waveform based on a linear combination of the first five derivative Gaussian pulses is used for localization, which decreases the interference between the UWB and other signals, and decreases the Probability of Error (prb). Asset localization depends on dividing the interest area into cells. Each cell contains number of reference nodes to monitor and locate the target node. The localization procedure depends on extract time parameters with simple process.
Two localization algorithms are proposed. The first based on extracting time of arrival between target and reference nodes in two dimensions. The second algorithm based on time difference of arrival in three dimensions. The proposed localization algorithms decrease the error between real asset location and estimated position at low level of Signal to Noise Ratio (SNR).
In this thesis, localization algorithms based on extract time parameter scheme using IEEE802.15.4a”industrial environment”. Matlab is used to simulate and test the channel model. Asset localization depends on UWB technology. UWB technology uses very narrow pulses to communicate between transmitter and receiver (no carrier). The UWB pulse must satisfy the emission mask of Federal Commission committee (FCC) to prevent the intersection between the UWB applications and other applications. In most cases, the popular pulses don’t satisfy the FCC emission mask. The reshaping algorithm proposes a technique that forces the different pulses to be inside the FCC emission mask. The most popular pulses (Hermite, Raised-Cosine, and Gaussian) are simulated to show the effect of the proposed reshaping algorithm. A new proposed waveform based on a linear combination of the first five derivative Gaussian pulses is used for localization, which decreases the interference between the UWB and other signals, and decreases the Probability of Error (prb). Asset localization depends on dividing the interest area into cells. Each cell contains number of reference nodes to monitor and locate the target node. The localization procedure depends on extract time parameters with simple process.
Two localization algorithms are proposed. The first based on extracting time of arrival between target and reference nodes in two dimensions. The second algorithm based on time difference of arrival in three dimensions. The proposed localization algorithms decrease the error between real asset location and estimated position at low level of Signal to Noise Ratio (SNR).
Other data
| Title | Asset Localization in Industrial Wireless Sensor Networks based on Ultra Wideband Technology | Other Titles | تحديد اماكن الاصول فى شبكات المستشعرات اللاسلكيه الصناعيه التى تعتمد على تكنولوجيا حزم الترددات شديدة الاتساع | Authors | Ramy Said Agieb | Issue Date | 2014 |
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