ANALYSIS OF THE APPLICATION OF TRANSMIT POWER ADAPTIVE ALGORITHM FOR SDVN TESTBED MININET- WIFI BASED

• Main Author: Syahada Widyadhana, Naila
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/82353
• Institution: Institut Teknologi Bandung

Vehicular Network (VN) is still developed and improved till this time for the sake of driving assistant until autonomous vehicle. Nowadays, computer networks used in general still rely on conventional networking (hop by hop networking). The weakness of conventional networking in VN is its inability to see real time network topology wholly and do centralized action from the huge dynamic data got. Software Defined Network (SDN) is a networking architecture that gives ability to do centralized configuration and monitoring just using a software so it will be more reliable because of adaptive with the changes of network conditions. It is a good idea to apply SDN on VN, widely known as Software Defined Vehicular Network (SDVN), for special cases in which the network administrator needs to see whole topology condition in real time and do configuration parameters centrally. Our solution for this problem is starting from making a software-based testbed SDVN to simulate vehicular communication operational and then making a topology and communication parameter management system. Vehicular communication operational means monitoring the condition of the mac layer and phy layer of the VN such as topology, throughput, latency, RTT, and jitter. To enhance the performance of the testbed, particularly the signals transmitted by each car node, the TPA algorithm was implemented in the development of this SDVN testbed to stabilize the signal strength transmitted by each car node. Performance testing showed that the RSSI values generated by the SDVN testbed with TPA implementation were more stable compared to the testbed without TPA. However, the throughput values were relatively the same, indicating that TPA did not affect the throughput received by each car. For jitter and RTT parameters, the emulation using the SDVN testbed with TPA implementation resulted in lower values compared to the testbed without TPA, proving that TPA implementation successfully enhanced the SDVN testbed performance. The TPA algorithm significantly impacted the signal strength transmitted by each car node. Withou the algorithm, the transmitted signal strength was unstable, causing delays and longer RTT for each transmitted packet.