Development Of Wireless Sensor Node Research Articles

Multipurpose Modular Wireless Sensor for Remote Monitoring and IoT Applications.

Today, maintaining an Internet connection is indispensable; as an example, we can refer to IoT applications that can be found in fields such as environmental monitoring, smart manufacturing, healthcare, smart buildings, smart homes, transportation, energy, and others. The critical elements in IoT applications are both the Wireless Sensor Nodes (WSn) and the Wireless Sensor Networks. It is essential to state that designing an application demands a particular design of a WSn, which represents an important time consumption during the process. In line with this observation, our work describes the development of a modular WSn (MWSn) built with digital processing, wireless communication, and power supply subsystems. Then, we reduce the WSn-implementing process into the design of its modular sensing subsystem. This would allow the development and launching processes of IoT applications across different fields to become faster and easier. Our proposal presents a versatile communication between the sensing modules and the MWSn using one- or two-wired communication protocols, such as I2C. To validate the efficiency and versatility of our proposal, we present two IoT-based remote monitoring applications.

Correction to: Development of Wireless Sensor Node and Controller Complying with Communication Interface Standard for Smart Farming

Correction to: Development of Wireless Sensor Node and Controller Complying with Communication Interface Standard for Smart Farming

Development of Wireless Sensor Node and Controller Complying with Communication Interface Standard for Smart Farming

The sensor node is a basic unit of a greenhouse control system that collects environment data and sends them to an environment controller. It is important for the sensor node and the controller to share a common communication protocol to enable effective communication. The objective of this research was to develop a wireless sensor node complying with a communication interface standard between a sensor node and a controller and to evaluate variation in data transmission rate with distance. The TTAK.KO-06.0288-Part1/R1 standard was selected as a communication interface standard; it was analyzed and implemented with a C++ library. A sensor node and a controller were designed to communicate with the library wirelessly using Bluetooth. The system was tested in a greenhouse to evaluate the variation in data transmission rate with changes in the distance between the components. A C++ library, libgnode, was developed and successfully implemented for transmitting data from the sensor node to the controller, complying with the TTA standards. The data transmission rate was 100% up to a distance of 25 m between the sensor node and the controller. The libgnode library can be utilized to improve the interoperability between components of a greenhouse control system. However, further research into the use of long-distance wireless communication methods (e.g., Zigbee or LoRa) is warranted in order to extend the communication coverage area in the greenhouse.

Multiple Node Placement Strategy for Efficient Routing in Wireless Sensor Networks

The advances in recent technology have lead to the development of wireless sensor nodes forming a wireless network, which over the years is used from military application to industry, household, medical etc. The deployment pattern of sensor nodes in Wireless Sensor Network (WSN) is always random for most of the applications. Such technique will lead to ineffective utilization of the network; for example fewer nodes are located at far distance and dense nodes are located at some reason and part of the region may be without the surveillance of any node, where the networks do consume additional energy or even may not transfer the data. The proposed work is intended to develop the optimized network by effective placement of nodes in circular and grid pattern, which we call as uniformity of nodes to be compared with random placement of nodes. Each of the nodes is in optimized positions at uniform distance with neighbors, followed by running a energy efficient routing algorithm that saves an additional energy further to provide connectivity management by connecting all the nodes. Simulation results are compared with the random placement of nodes, the residual energy of a network, lifetime of a network, energy consumption of a network shows a definite improvement for uniform network as that of with the random network.

Smart Wireless Sensor Network to Detect and Protect Sheep and Goats to Wolf Attacks

The attacks on flocks of goats and sheep are causing great economic losses in some countries. The main causes of these are usually wild animals such as wolves, or thefts of young animals. When an animal feels the presence of people or animals different than the usual ones, it experiences changes in its vital signs. The parameters which are the most altered are the heart rate and body temperature. This paper presents the development of wireless sensor nodes which can monitor vital signs of sheep and goats. These nodes form a network of wireless nodes using IEEE 802.15.4 technology. The network runs a smart algorithm able to detect episodes of collective stress on flocks of goats and sheep caused by any predator attack overnight. When the system detects changes in vital signs of animals, it sends an alarm signal to alert the person in charge of the livestock facility and activates audible and visual alarms able to scare off predators and marauders. Our system can help breeders of goats and sheep to protect their herds avoiding large economic losses that this implies.

Signal Processing and Design of Nodes in WSN Agricultural Monitoring System

By analysis of WSN node signal processing, we designed a node structural system in WSN agricultural monitoring system and use the ideas of this system to complete the development of wireless sensor nodes. TinyOS, as the node software development system is chosen to test the node performance. The results showed that, the node meets the design requirements, and it can be effectively applied in WSN agricultural monitoring system.

Design and Implementation of Wireless Sensor Network Nodes Based on ANT

Progress as well as integration of wireless communication technology, computer technology and semiconductor technology, can integrate information such as the perception,acquisition and data processing in a very limited volume [. With the rapid development of wireless technology,wireless sensor networks greatly extends the applications of sensor network and Internet of Things as well as the new challenges to wireless communication technology. We will use STC12LE4052AD microcontroller and ultra-low power radio frequency chip nRF24AP2 embedded ANT protocol stack to complete the development of wireless sensor nodes in this paper.

Energy awareness workflow model for wireless sensor nodes

ABSTRACTBefore the development of a large‐scale wireless sensor network (WSN) infrastructure, it is necessary to create a model to evaluate the lifespan of the infrastructure, the system performance and the cost so that the best design solution can be obtained. Energy consumption is an important factor that influences the lifespan of WSNs. One of the ways to extend the lifespan of WSNs is to design wireless sensor nodes with low power consumption. This involves component selection and the optimisation of hardware architecture, monitoring software system and protocols to satisfy the requirements of the particular applications. This paper proposes a comprehensive model to describe the workflow of a wireless sensor node. Parameter setup and energy consumption calculation are demonstrated through the model simulation. It provides a mathematical approach to dynamically evaluate the energy consumption of a sensor node. This will benefit the development of wireless sensor nodes based on microprocessors with limited computational capability. Therefore, the model can be applied in dynamic power management systems for wireless sensor nodes or in wireless communication protocols with energy awareness, in particular, for WSNs with self‐organisation. More importantly, the generalisation of the model may be employed as a standard paradigm for the development of wireless sensor node with energy awareness. Copyright © 2012 John Wiley & Sons, Ltd.

A high computational power wireless sensor network for distributed structural health monitoring

This paper presents the design of a wireless sensor network consisting of high computational power sensor nodes to support distributed structural health monitoring. The unique features of the presented sensor nodes are their high computational capability, multi–modality sensing, and combined ability for both active and passive sensing. These embedded computer–based sensor nodes include Linux operating system; integrate with C numerical libraries; embed a mobile agent–based network middleware; and provide web services at sensor node level. The software development of wireless sensor nodes utilises a two–layer approach. The open software architecture design of the upper layer promotes software reuse and speeds up the development cycle by employing available numerical algorithms in open software packages such as CLAPACK and Numerical Recipes in C. Several experimental tests are presented including accelerometer test using a scaled steel bridge, strain gauge measurement on a deflectometer, and relative humidity and temperature tests.