Throughput Of Proposed System Research Articles

Multiple time series database on microservice architecture for IoT-based sleep monitoring system

Monitoring health status requires collecting a large amount of data from the human body. The sensor can be used to collect data from the human body. The sensor transmits data for almost every second across the internet. The challenge of the health monitoring system is the massive amount of incoming data. Therefore, a system capable of sending, storing, analyzing, and visualizing vast amounts of data is required for health monitoring. A previous study proposed microservice and event-driven architecture. It also proposed a single database for all services and a relational database management system (RDBMS) for storing time series data, which might reduce the data transmission performance and reliability. This research intends to improve the monitoring system from the previous study to accommodate a greater throughput, faster database read and write operations, and a more reliable system design. The improvement consists of multiple changes in system architecture and technology. A multi-database is proposed in the system architecture to improve system reliability. Time series database and Message Queue Telemetry Protocol (MQTT) server are proposed as an upgrade on technology. As a result, the proposed system throughput is 2.43 times faster than the old system. On database performance, the new system's database write speed is 20.95 times faster and the database read speed is 1.64 times faster than the old system. The proposed system also achieves better scalability, resilience, and independence.

Electronic Toll Collection System based on Radio Frequency Identification System

This papaer entitled electronic toll collection system based on Radio Frequncy Identification System explained in detail based on current issue at toll collection system. There are some obstacles faced every day where the users spent their valuable time in queue at tollgate due to traffic congestion as well as using traditional manual method in most existing toll ETC system to collect toll from road users. Besides that, the barrier design where each vehicle stop waiting until barrier lift which consider source of time delay. To tackle stated problems, an electronic toll collection system is proposed which based on RFID technology. The integrated system consists of two main sections, electronic sides where all input data received from while database management office is where all necessary information stored. To compare the current ETC system, in this research elaborated internet of things where all data transmit through cloud and then to the main office in real time. Not only that, there is some enhancement based on barrier design where, gate is remained open for all vehicles with sufficient tags without requiring to stop to eliminate time delay.By check system throughput compare to existing toll systems, various tests have been carried out in different method where proposed system throughput much higher percentage the current system.

Performance of an OFDMA Based Multichannel Slotted ALOHA for Cognitive Radios

We present an orthogonal frequency division multiple access (OFDMA) based multichannel slotted ALOHA for cognitive radio networks (OMSA-CR). The performance of an infinite population based OMSA-CR system is analyzed in terms of channel capacity, throughput, delay, and packet capture effect. We investigate the channel capacity for OMSA-CR with perfect or imperfect spectrum sensing. We introduce the proposed CR MAC based on two channel selection schemes: non-agile channel selection (NCS) and agile channel selection (ACS). Comparing them, we show the tradeoff between complexity and system performance. We verify the proposed CR system model using numerical analysis. In particular, using simulation with a finite populated linear feedback model, we observe the OMSA-CR MAC tradeoff between throughput and minimum delay whose results matched those of the analytical framework. Numerical results for the proposed system throughput are also compared to conventional MACs, including pure ALOHA based CR MAC.