Ajib Setyo Arifin

The design of embedded web server for remote laboratories microcontroller system experiment

Remote laboratories are innovations in educational technology which allows students to access and interact with laboratory equipment remotely via the Internet network. There are several advantages of using a remote laboratory is the laboratorys performance is better and more efficient because of laboratory equipment can be used by students throughout the day for 24 hours. This paper presents a new design remote laboratory-based embedded web server for practical microcontroller systems. This system has several advantages compared with traditional remote laboratory based on computer server, which are small size, low power consumption, low cost and easy installation and maintenance. Design an embedded web server using 8 bit microcontroller AT89S52. The system consists of a computer server, some experiment module microcontroller system and some embedded web server for controlling modules. The computer server is used as a web server remote lab gateway that serves as a homepage and user management. Embedded web server serves as the user interface to control the lab module microcontroller via the internet. Experiment module is evaluation board AT89SXX microcontroller and is equipped with some I/O circuit. Users can perform remote process on experiment module that is: upload binary files to the target board, observing the changes via a web cam and can interact with the target board through a virtual I/O. Embedded web server is working with pure HTML instructions so that the system is more secure because it only uses port 80 only. Design remote labs are multiuser, so that at the same time can be used by more than one user.

Outage probability analysis in bidirectional full-duplex SISO system with self-interference

In this report, we consider an outage probability for full-duplex single-input single-output (SISO) system. In the presence of self-interference, we derive a closed-form expression of outage probability. We consider Rayleigh and Rician fading channels for the channel between two nodes and for the self-interference channel, respectively. We evaluate the outage probability based on different K factor and signal to interference plus noise power ratio (SINR). We show that outage probability increases as the value of K increases, because the larger value of K is equivalent to the larger LOS component of self-interference power. We also show that active cancellation has better performance in terms of outage probability than passive cancellation. Moreover, we show that our closed-form expression of outage probability matches with the simulation results.

Linear Precoding for Distributed Estimation of Correlated Sources in WSN MIMO System

We consider distributed estimation of a random vector signal in a power constraint wireless sensor network (WSN) that follows multiple-input and multiple-output (MIMO) coherent multiple access channel model. We design linear coding matrices based on linear minimum mean squared error (LMMSE) fusion rule that accommodates correlated sources. We obtain a closed-form solution that follows water-filling strategy. We also derive a lower bound distortion to this model. Simulation results show that when the sources are more correlated, the distortion in terms of mean squared error (MSE) degrades. By taking into account the effects of correlation, observation, and channel matrices, the proposed method performs better than equal power method.

Ship location detection using wireless sensor networks with cooperative nodes

Surveillance over a busy harbor is importance for protection and security. Every ship that comes in and out the harbor should be monitored real time. Monitoring of every ship can be conducted by gathering information of the ship, such as speed and location. However, the speed and location of illegal ships are difficult to be gathered because they usually turn the Automatic Identification System (AIS) signal off. In this paper, we develop ship location detection using Wireless Sensor Networks (WSN). We use four cooperative sensor nodes to detect ship-generated wave. Assuming that each sensor is equipped with Global Positioning System (GPS), we derive a new formulation to compute location of the illegal ships. The new formula is able to locate the ship in three different directions. We also quantify the necessary conditions of ship location detection.

Ergodic capacity analysis of full-duplex amplify-forward MIMO relay channel using Tracy-Widom distribution

In this paper, we explore the use of full-duplex technique to improve spectrum efficiency in amplify-forward multiple-input multiple-output (MIMO) relay channel. The full-duplex operation can reduce the overall communication to only one phase but suffers from self-interference. We investigate an asymptotic ergodic capacity of full-duplex amplify-forward MIMO relay using Tracy-Widom distribution. Instead of using numerical solution, we derive an asymptotic expression of ergodic capacity by exploiting eigenvalue distributions. We consider singular value decomposition (SVD) based scheme with perfect channel state information (CSI) with three scenarios: i) Large relay, and fixed source and destination antennas, ii) Fixed source, and large relay and destination antennas, and iii) Large relay and source, and fixed destination antennas. We show the simulation results that the capacity of full-duplex model is almost twice the capacity of half-duplex. We show that increasing the number of destination antennas does not help much for improving the capacity when the number of source antennas is fixed. Moreover, we also show that increasing the number of source antennas can decrease the capacity when the number of destination antennas is fixed.

Capacity of Data Collection in Wireless Sensor Networks Based on Mutual Information and MMSE Estimation

We investigate the properties of data collection in wireless sensor networks, in terms of both capacity and power allocation strategy. We consider a scenario in which a number of sensors observe a target being estimated at fusion center (FC) using minimum mean-square error (MMSE) estimator. Based on the relationship between mutual information and MMSE (I-MMSE), the capacity of data collection in coherent and orthogonal multiple access channel (MAC) models is derived. Considering power constraint, the capacity is derived under two scenarios: equal power allocation and optimal power allocation of both models. We provide the upper bound of capacity as a benchmark. In particular, we show that the capacity of data collection scales as Θ((1/2)log) when the number of sensors L grows to infinity. We show through simulation results that for both coherent and orthogonal MAC models, the capacity of the optimal power is larger than that of the equal power. We also show that the capacity of coherent MAC is larger than that of orthogonal MAC, particularly when the number of sensors L is large and the total power P is fixed.

Lessons Learned from the Quality of Experience (QoE) Assessment of 4G Mobile Technology in Indonesia

With the rapid growth of communications via the Internet, the need for an effective firewall system which has not badly affect the overall network performances has been increased. In this paper, a Field Programmable Gate Array (FPGA) -based firewall system with high performance has been implemented using Network FPGA (NetFPGA) with Xilinx Kintex-7 XC7K325T FPGA. Based on NetFPGA reference router project, a NetFPGA-based firewall system was implemented. The hardware module performs rule matching operation using content addressable memory (CAM) for higher speed data processing. To evaluate system performance, throughput, latency, and memory utilization were measured for different cases using different tools, also the number of rules that an incoming packet is subjected to was varied to get more readings using both software and hardware features. The results showed that the designed firewall system provides better performance than traditional firewalls. System throughput was doubled times of the one with Linux-Iptables firewalls.

IoT-Based Maritime Application: An Experiment of Ship Radius Detection

Internet of Things (IoT) have wide ranges of applications. One of interesting application is for detection and monitoring ship mobility in harbor. Monitoring the ship in harbor may not need a large monitoring system such as satellite and radar because of limited area. In this paper, we propose a ship detection using IoT. We use four sensors to observe ship-generated waves and combine them using our proposed formula to detect location of the ship real time. We measure radius detection as the average distance from point of interest. We conduct experiments based on two variables, i.e.: sensor distance and ship speed. We show that as the sensor distance increases, the radius detection increases. Moreover, as the ship speed increases, the radius detection decreases. The increasing of sensor distance causes decreasing the amplitude of ship-generated waves. Otherwise, the increasing ship speed improves amplitude of the ship-generated waves. We can see that radius detection is 0.5 m when ship speed is 3 m/s.

The IoT-based Transition Strategy towards 5G

After the 5G standard is officially established, it is expected that 5G will be commercially deployed to the market within two to five years. However, problems may arise when mobile network operators start shifting their infrastructure to such a new technology. The main causes for concern would be financial-related issues, since the deployment of the 5G network requires a huge investment at a time when the level of market adoption is still uncertain. For that reason, mobile operators should explore technological opportunities to ensure the transition from 4G to 5G would bring no harm to their companys financial condition. This paper presents an explanatory review of the use of the Internet of Things (IoT) as the basis of a transition strategy towards the implementation of 5G. The 5G vision implies that 5G would not only focus on increasing high speed data but should also involve facilitating mission critical communications, as well as Massive Machine Type Communications (MMTC). Hence, mobile network operators can start deploying the IoT network immediately and can operate on the technical path towards the establishment of real 5Gs MTTC. Then, the two remaining 5G scenarios can be slowly introduced afterwards.

Outage probability analysis in bidirectional wireless communication using full-duplex MIMO system

In this paper, it analyzes an outage probability in bidirectional wireless communication using full-duplex MIMO system with consider effect of self-interference. The self-interference in this paper is mitigated by active and passive cancellation, yet there still interference happens in this system, called residual interference. Assumed, transmit information signal (channel between node-1 and node-2) using Rayleigh fading channel and express interference signal stream using Rician fading channel. We derive a closed-form solution of outage probability towards effect of rician factor (K), SINR (Signal to Interference plus Noise Ratio), threshold rate (R) and number of antenna (N) and also analyze simulation results.