Fajri, Ari Nuzul and Rusyadi, Rusman and Ipung, Heru Purnomo (2021) Lorawan: Performance Analysis Using Simple AES-128 in High Latency Satellite Backhaul. Masters thesis, Swiss German University.

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Abstract

Long Range Wide Area Network (shorted as LoRaWAN) (LoRa Alliance, 2020) or some called with Low Power Wide Area Network (LPWAN) will be used as the IoT protocol massively because of long range signal, low cost maintenance and low power consumption capability are very suitable for IoT application requirements. To have the option to turn into a device that is spread enormously, it requires adaptability in its environment and does not rely upon only one type of connectivity as its backhaul framework, in light of the fact that so far LoRaWAN has just been utilized with 3G/4G GSM BTS as its communication backhaul, particularly in Indonesia. In the satellite provider, there are might be a lot of satellite services product but not yet integrated with IoT devices and supposed to use secure communication end-to-end using encryption method. This analysis will compare a performance of LoRaWAN devices using simplified AES-128 bit and normal AES-128 bit in high latency network environment using VSAT (Very Small Aperture Terminal) as the backhaul gateway. VSAT network with Ku-Band typically need 700-900 ms for round trip time (RTT). A message or payload data received in 391-440 ms at application server on cloud because need some process in network elements and application. In this research, simplified AES-128 can reduce 5.7% of delay time process.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	AES, Backhaul, Encryption, LoRaWAN, LPWAN, Satellite, VSAT
Subjects:	Q Science > QA Mathematics > QA76 Computer software > > QA76.93 Computer networks--Security measures T Technology > T Technology (General) > T58.5 Information technology T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5103 Mobile computing > TK5103.483 Wireless communication systems--Technological innovations
Divisions:	Faculty of Engineering and Information Technology > Department of Information Technology
Depositing User:	Faisal Ifzaldi
Date Deposited:	06 Jan 2022 08:25
Last Modified:	06 Jan 2022 08:25
URI:	http://repository.sgu.ac.id/id/eprint/2289

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