Cost Effective Wireless Sensor Network Research Articles

Implementation of on-demand low rate wireless parameter monitoring system for industrial machineries.

Systematic and rigorous monitoring of critical equipment is the cornerstone of any successful preventive management system in the industrial environment. Recent developments in cost-effective wireless sensor network (WSN) technologies promising a wider and more sustainable deployment of distributed sensing and processing infrastructure. In this research work, it is mainly focused on the electrical monitoring parameter and enable remote switching devices for optimal power management systems using ZigBee. This paper proposes a digital system for electrical system parameters such as voltage and current using ZigBee-based wireless sensor networks (WSNs). The main feature of ZigBee protocol, to act as a communicable medium between transmitter and receiver modules, which is suitable for the industrial environment.

Effective Water Management Framework Based on Internet of Things (IOT) Technology

The low cost effective wireless sensor network that The low cost effective wireless sensor network that allows for embedded system to monitor and control virtually any space and environment and to form the so called Internet of Things or Internet of Everything. The research work is intended to address a general problem associated with effective water utilization management, among others is the issue of water leakages, there is the need to effectively detect cases of leakages and address them appropriately. However, the sensitivity of the flow rate sensors used poses a number of challenges, hence the need to setup an appropriate calibration scheme that will allows for the flow rate sensor, effective adoption and usage ,isolating false alarm due to deficiencies associated with operation of the flow rate sensor as well as detecting leakages . A frame work build around a flow rate sensor, solenoid valve, a microcontroller equipped with internet connectivity and a log in service monitoring and control platform on the cloud is used. Several simulated tests were carried out to explore a number of leakage scenarios. Based on the analysed data obtained overtime, appropriate algorithms were developed to allow for quick detection, remote monitoring and control of deduced cases of leakages. The work has significantly addressed the challenges poses to the effect leakages with the adopted framework.

An Effective Water Management Framework Based on Internet of Things (IOT) Technology

The low cost effective wireless sensor network that The low cost effective wireless sensor network that allows for embedded system to monitor and control virtually any space and environment and to form the so called Internet of Things or Internet of Everything. The research work is intended to address a general problem associated with effective water utilization management, among others is the issue of water leakages, there is the need to effectively detect cases of leakages and address them appropriately. However, the sensitivity of the flow rate sensors used poses a number of challenges, hence the need to setup an appropriate calibration scheme that will allows for the flow rate sensor, effective adoption and usage ,isolating false alarm due to deficiencies associated with operation of the flow rate sensor as well as detecting leakages . A frame work build around a flow rate sensor, solenoid valve, a microcontroller equipped with internet connectivity and a log in service monitoring and control platform on the cloud is used. Several simulated tests were carried out to explore a number of leakage scenarios. Based on the analysed data obtained overtime, appropriate algorithms were developed to allow for quick detection, remote monitoring and control of deduced cases of leakages. The work has significantly addressed the challenges poses to the effect leakages with the adopted framework.

Dynamic Wireless Power Transfer for Cost-Effective Wireless Sensor Networks Using Frequency-Scanned Beaming

A simple adaptive 1-D frequency-scanning method is proposed for radiative wireless power transfer (WPT) systems in low-power wireless sensor networks (WSNs). As a proof of concept, a directive leaky-wave antenna that scans 1-W output RF power in the angular range from ±10° at 2.4 GHz to ±37° at 2.5 GHz, is used to power a WSN covering an area of 1.2 m $\times1.2$ m. It is shown that, using a frequency-scanned antenna, a wider area than using a non-scanned directive antenna can be powered without additional expensive equipment. The WPT protocol is described, showing that any sensor in the WSN can select the optimum transmission channel in the 2.4-GHz band, based on the received signal strength indicator measurements, as the coordinator performs a scheduled frequency hopping phase. This maximizes the WPT beaming efficiency and the transferred dc power. The optimum channel selection can be performed periodically, which makes the system robust against channel state changes.

Unmanned Aerial Vehicle Based Wireless Sensor Network for Marine-Coastal Environment Monitoring.

Marine environments are delicate ecosystems which directly influence local climates, flora, fauna, and human activities. Their monitorization plays a key role in their preservation, which is most commonly done through the use of environmental sensing buoy networks. These devices transmit data by means of satellite communications or close-range base stations, which present several limitations and elevated infrastructure costs. Unmanned Aerial Vehicles (UAV) are another alternative for remote environmental monitoring which provide new types of data and ease of use. These aircraft are mainly used in video capture related applications, in its various light spectrums, and do not provide the same data as sensing buoys, nor can they be used for such extended periods of time. The aim of this research is to provide a flexible, easy to deploy and cost-effective Wireless Sensor Network (WSN) for monitoring marine environments. This proposal uses a UAV as a mobile data collector, low-power long-range communications and sensing buoys as part of a single WSN. A complete description of the design, development, and implementation of the various parts of this system is presented, as well as its validation in a real-world scenario.

Energy Efficient WSN-SAT System for Surveillance of Satellites

Satellite communication plays a vital role in the arena of telecommunication. The main objective of this manuscript is to examine the threats and problems like space debris, space weather and space weapons that could damage or disable the satellite system. In consequence, we discuss the role of wireless sensor networks (WSN) and nodes in space based technologies. The scope of this paper is to minimize the threats and vulnerabilities to the satellite systems and based on that, design the next generation and state of the art satellite communication system. We proposed the solutions for the vulnerabilities and surveillance of satellite system by integrating the energy efficient and cost effective WSN to the satellite system.

Event Detection and Localization in Urban Water Distribution Network

Urban water supply and distribution infrastructure is aging rapidly and the frequency of pipe burst increases. These events can be very expensive due to water supply disruptions, and damage to surrounding properties and infrastructures. Therefore, methods of detecting and localizing underground burst events in real time can be very helpful in mitigating these impacts. This paper is a part of the WaterWiSe@SG project in Singapore. In this paper, a cost-effective wireless sensor network was developed for a real-time monitoring, analyzing, and modeling of urban water distribution systems. This paper presents an application of joint time-frequency analysis (JTFA) for detecting events in water distribution pipelines. The idea behind this method is based on the detection of pressure fluctuations induced by the burst. This proposed approach for event detection employs a spectrogram, one of the JTFA approaches. The feasibility of the proposed method is tested through emulated leak-off experiments and validated with monitoring data in an operational system. The results demonstrate that the proposed method has the potential to assist in the management of water infrastructure by monitoring existing conditions and providing real-time feedback in case of the failure.

A Cost-effective Wireless Sensor Network System for Indoor Air Quality Monitoring Applications

Indoor air pollution has become a serious issue affecting public health. An indoor air quality monitoring system helps in the detection and improvement of indoor air quality. The monitoring systems presently available are very expensive. In this paper, we present a low-cost indoor air quality monitoring wireless sensor network system developed using Arduino, XBee modules, and micro gas sensors. The system that we have developed is capable of collecting six air quality parameters from different locations simultaneously. We have also developed a linear least square estimation-based method for sensor calibration and measurement data conversion. The performance and usefulness of the system are demonstrated by comparing measurement results of our system and a professional-grade air quality measurement device.

Robust Techniques for Accurate Indoor Localization in Hazardous Environments

The challenging conditions prevalent in indoor environments have rendered many traditional positioning methods inept to yield satisfactory results. Our work tackles the challenging problem of accurate indoor positioning in hazardous multipath environments through three versatile super resolution techniques: time domain Multiple Signal Classification (TD-MUSIC), frequency domain MUSIC (FD-MUSIC) algorithms, and frequency domain Eigen value (FD-EV) method. The advantage of using these super resolution techniques is twofold. First for Line-of-Sight (LoS) conditions this provides the most accurate means of determining the time delay estimate from transmitter to receiver for any wireless sensor network. The high noise immunity and resolvability of these methods makes them ideal for cost-effective wireless sensor networks operating in indoor channels. Second for non-LoS conditions the resultant pseudo-spectrum generated by these methods provides the means to construct the ideal location based fingerprint. We provide an in depth analysis of limitation as well as advantages inherent in all of these methods through a detailed behavioral analysis under constrained environments. Hence, the bandwidth versatility, higher resolution capability and higher noise immunity of the TD-MUSIC algorithm and the FD-EV method’s ability to resurface submerged signal peaks when the signal subspace dimensions are underestimated are all presented in detail.