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IoT in Smart Infotainment SystemsBog'liq asosiy 2 MTA Majmua(2021), 1, 4-Karno kartadan foydalanib mantiqiy ifodalarni minimallash, Kalendar reja algoritm, Ishchi dastur(Dasturlash I) 24.11.2021, 1 -amaliyot, 4-Lab, Yurtimiz mustaqillikga erishishidan oldin milliy urf odat, 7-8-mavzuDT larni sertifikatlashtirish, Axborotlarni izlash va ajratib olish fanidan mustaqil ish Mavzu, Abdulla Oripov O\'zbekiston (qasida), 2 lab Yarashov Diyorbek, TATU NF Hemis axborot tizimi, Algo 1-299, prezentatsiyaIoT in Smart Infotainment Systems
Apart from driving assistance applications, to ensure better
passenger experience, embedded features withing the vehi-
cle’s infotainment unit collects data about passengers driving
pattern and habits (e.g., cabin temperature). Infotainment
systems can support a variety of services such as, internet/
Wi-fi connectivity, streaming audio and video, voice control
and calls,, touch control, and air conditioning unit operation,
etc. All these features are enabled by the embedded sensor,
which collect data, analyze them, and optimized the vehicle
conditions enhancing the passenger experience [
41
,
58
,
59
].
IoT for In‑Network Computing and Operations
Sensors and other embedded components deployed in AV
perform in real-time numerous computations for navigation
and safe driving as well as run high-level security algorithms
for user data privacy and protection. High fidelity sensors
perform multiple time-critical operations and help AVs in
their analysis and decision making procedures under var-
yin operational conditions, e.g., during peak traffic. These
embedded actuation and smart sensing units are programmed
to control and coordinate with each in V2V and V2X
deployments [
60
]. IoT-enabled devices deal with different
time-critical tasks which can be controlled and monitored
from remote locations leveraging cloud-based resources.
Automakers equip their recent models with cloud-assisted
driving features improving both their consumer safety and
efficiently navigating them to their destinations. The mas-
sive amount of real-time data collected and analyzed, within
AVs, from their sensors and computation units have to be
secured from adversaries. Protecting sensitive user data from
malware, spyware, attackers, etc. mandates the use of secure
encryption schemes like transport layer security (TLS) 1.3,
quantum cryptography among others [
23
]. All these cryp-
tographic methods should operate in parallel with the data
collection (from sensors) and computations performed in
the corresponding units maintaining end-user safety and
security [
24
,
61
].
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