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Sensors
Networks
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In the context of wireless sensor networks (WSN), our interest is focused on the
physical layers for low complexity sensors or heterogeneous networks of sensors
with scalable complexity. After having worked on Ultra-Wide Band technology (UWB)
in the past, now recent research
lines are focused on low energy localization techniques, synergies between encoding and
positioning, innovative strategies for spectrum management
and interference reduction. The main goal is to contribute to the basis
for the deployment of networks composed by numerous, heterogeneous devices with the characteristic of being
energy efficient, self-configuring and
possibily sensitive to the variation of the environment around their location.
These studies are now considered also in the context of 5G integration of IoT
and machine communication.
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Encoding and positioning |
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In the context of fingerprinting (FP) applications, we investigate the reduction
of quantization in the Received Signal Strength Indicator (RSSI) till to the
binary level. The computational complexity can be limited reducing the RSSI
quantization till to a simple binary indicator at the expense of an increased
number of reference points or beacons. This approach, usually not advanatageous
for most of the wireless technologies, can be considered when we use very small,
inexpensive beacons, like those based on BLE technology, RFID or in the future
context of the Internet of Things. So, for the two level quantization, we
propose a performance estimation method introducing the association of FP
deployment to an error correcting code [16b][17f]. |
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Low energy ranging and localization |
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We are investigating ways for enhancing the integration between the estimate of the distance
/ angles with the data processing
necessary to get the position of the nodes inside a network. Moreover ranging information can be used for other cross-optimization
procedures. New ranging techniques that provide more information about distances and their reliabilities
have been introduced in the past (soft ranging, [07d,
08d]).
Now we are currently focusing on localization techniques with high energy efficiency
[10c,13c,14a]
and low complexity for microsensors or IoT applications. |
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Performance analysis |
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Results have been obtained in the performance evaluation of RAKE receivers in the presence
of multiple access interference with both exponential (Nakagami) and realistic
(IEEE 802.15.3a for UWB-IR [06a,
09a])
multipath channel profiles.
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Information Transmission Group
Dipartimento di Elettronica, Informazione e Bioingengeria (DEIB) Politecnico
di Milano
P.zza Leonardo da Vinci 32, 20133 Milano - Italy
e-mail: luca.reggiani@polimi.it |
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Last updated Jan. 2020 |