RSSI-based human presence detection system for energy saving automation

WiFi facilitates computers and devices to connect with the Internet and each other using radio frequency signals that has Received Signal Strength Indicator or RSSI as its standard feature. With the use of RSSI value, a human presence detection technique to support energy saving by automating appliances is developed. It has attracted interest of researchers for its advantages like simplicity and low-cost. A system module that can detect the presence of human is achieved by designing and developing a device that utilizes off-the-shelves hardware, implementing a statistical analysis algorithm and by testing and evaluating the performance of the developed system in a real life environment. The result of the system module’s performance analysis in this research has shown 100% sensitivity, specificity and accuracy to the solution. The solution and approach can be used to support energy saving by automating appliances, resulting in a greener environment and a better financial efficiency. Keywords: WiFi, RSSI, Internet of Things, Presence Detection, Automatio

Comparative analysis of digital filters for received signal strength indicator

Increasing demand in Internet of Things applications has drawn researchers to explore deeper into alternative methods that provide efficiency in terms of application, energy, cost and etc. One of the techniques proposed by the current trend is the use of Received Signal Strength Indicator value for different Internet of Things applications. It is imperative to investigate the digital signal filter for the Received Signal Strength Indicator readings to interpret it into a more reliable data. A comparative analysis of three different types of digital filters is discussed in this paper which are Simple Moving Average filter, Alpha Trimmed Mean filter and Kalman filter. There are three criteria used to observe the performance of the digital filters which are noise reduction, data proximity and delays. Based on the criteria, the choice of digital signal processing filter can be determined in accordance with its implementations. Hence, this paper portrays the possibilities of Received Signal Strength Indicator in different Internet of Things applications given a proper choice of digital signal processing filter

Analysis of different digital filters for received signal strength indicator

Due to high demand in Internet of Things applications, researchers are exploring deeper alternative methods to provide efficiency in terms of application, energy, and cost among other factors. A frequently used technique is the Received Signal Strength Indicator value for different Internet of Things applications. It is imperative to investigate the digital signal filter for the Received Signal Strength Indicator readings to interpret it into more reliable data. A contrasting analysis of three different types of digital filters is presented in this paper, namely: Simple Moving Average filter, Alpha Trimmed Mean filter and Kalman filter. There are three criteria used to observe the performance of these digital filters which are noise reduction, data proximity and delays. Based on the criteria, the choice of digital signal processing filter can be determined in accordance with its implementations in [ractice. For example, Alpha-Trimmed Mean filter is shown to be more efficient if used in the pre-processing of Received Signal Strength Indicator readings for physical intrusion detection due to its high data proximity. Hence, this paper illustrates the possibilities of the use of Received Signal Strength Indicator in different Internet of Things applications given a proper choice of digital signal processing filter

Mobile Heart Rate Detection System (MoHeRDS) for early warning of potentially-fatal heart diseases

Most health institutes and common hospitals use a continuous cardiac monitoring machine that is immobile, big and heavy, costly and is not equipped with an option to send warnings if there is an alarming change in the patient’s heart rate. Thus, the purpose of this research is to design and develop a device prototype that detects alarming changes of a person’s heart rate and sends a warning immediately via Short Message Service (SMS) to receivers such as doctors, family members, a person in charge, or monitoring system application. The objective is achieved by developing a program for Arduino microcontroller that enables a pulse sensor module to detect alarming changes of a user’s heart rate through photoplethysmography technique and utilizes a GSM Shield module to act as an SMS interface between the device prototype and receivers. The relevancy of Mobile Heart Rate Detection System (MoHeRDS) device is investigated through a survey that has resulted in positive responses from 70 respondents mainly from the health sector where 100% of them agree that MoHeRDS is relevant and some deem it very relevant to be one of the helping factors for early warning of Potentially-Fatal Heart Diseases (such as heart attacks, heart failures, etc.). Furthermore, MoHeRDS is palm-sized, portable and has a reasonable low cost. Thus, with the implementation of MoHeRDS in the health sectors, individuals with risk of potentially-fatal heart diseases can get immediate treatment hence reducing their death statistics

Autonomous control of tilt tri-rotor unmanned aerial vehicle

A control algorithm of tri-rotor aircraft using PID control and the effect of it in a tilt tri-rotor aircraft is proposed and observed in this paper.In the development of the control algorithm, a mathematical model consisting variables from three motors used and its tilting mechanism is obtained and referred to. A significant improvement is observed when the control algorithm is applied to the system in which the pitch overshoot is greatly reduced and approach to a constant zero.Tilt TriRotor Unmanned Aerial Vehicle (TRUAV) is an aircraft that has three motors and does not allow pilot intervention in the management of the flight. There exist situations where the surrounding environment is not appropriate or even dangerous to a human being. Examples of such case is a war zone area, steep terrains, explosive area, or even during armed attacks

On the analysis of received signal strength indicator from ESP8266

Recently, the concept o Internet of Things has gained a tremendous momentum in the technological world. Internet of Things efficienty connects devices hence improving their quality of life from various aspects. One of the most heavily used device for Internet of Things application is ESP8266 WiFi serial transceiver module. It features access to the Received Signal Strength Indicator readings from the module. In this paper, a characteristic analysis of the Received Signal Strength Indicator readings collected using ESP8266 WiFi serial transceiver module is carried out. The aim is to explore the future possibilities of Received Signal Strength Indicator value as a stand-alone and unique parameter to be used in various applications especially in the domain of Internet of Things. In addition, the potential of the cheap yet sophisticated ESP8266 WiFi serial transceiver module is also highlighted. The findings have shown an insight into the characteristics of Received Signal Strength Indicator readings and how it can be utilized for other different purposes. The findings have brought up a few stimulating issues that may arise from some implementation of Received Signal Strength Indicator readings such as the significant effect of obstruction in the Line of Sight. However, its solution will thrust the Internet of Things’ technological advancementsahead