Application of LoRa WAN Sensor and IoT for Environmental Monitoring in Riau Province Indonesia

Land and forest fires especially in Riau Province, Indonesia, have affected the length and breadth of Indonesia. The fires are normally hampered by seasonal dry conditions such as El Nino effect. In addition, the haze has affected the neighboring countries such as Malaysia, Singapore and south of Thailand. The effects of haze on human health as reported in that particular year were about 20 million people have suffered from respiratory problems and serious deterioration in overall health. There were other effects on environment, economy, flora and fauna in Southeast Asia region due to this disaster. This research proposes to develop a smart monitoring system using Long Range Wide Area Network (LoRa WAN) with low power wireless data communication and Internet of Things (IoT) technology. With LoRa technology, data can be transmitted up to 30 miles which is worthwhile to cover some of Riau Province that have been badly impacted by this disaster. In this article propose to develop sensors system that capable of detecting land and forest fire. The sensors will be located at several locations that has badly impacted previously. LoRa IoT Technology will be deployed to provide a platform for connecting the sensors. An early indication of land or forest fires is vital for quick prevention before they become uncontrollable and overwhelming. The design and development of LoRa sensors give high feasibility to overcome current issues in Riau Province because of land and forest fire

Smart Home Technologies for Cognitive Assessment in Healthcare

With the term 'smart home' developers usually refer to a house, or more generally a residential environment, where a set of integrated sensors, devices and technologies provides the occupants with innovative functionalities and utilities which improve both the living comfort and the resource management of the building

5G energy efficiency for Internet of Things

The Internet of Things (IoT) consists of devices capable of measuring the environment and executing tasks without human intervention. Due to its size, these devices have restrictions in processing, memory, and battery. These devices can reach a trillion nodes and, therefore, requires network connections that are capable of both handle a large number of nodes connected and low energy transmission. The fifth generation of telecommunications technology (5G) is a key concept to address those requirements as new applications and business models require new criteria such as security trustworthy, ultra-low latency, ultra-reliability, and energy efficiency. Although the next generation of connections is at its early stage, progress has been made to achieve 5G enabled IoT technologies. This paper describes a review of the main technologies such as Cloud, Software Defined Network, device-to-device communication, Evolved Package Core and Network Virtual Function Orchestration that are planned to be applied for both fields of 5G and IoT

A field-measurements-based LoRa network planning tool

Long range (LoRa) transmission technology enables energy-constrained devices such as the tiny sensor systems used in internet-of-things applications that are distributed over wide areas while still being able to establish appropriate connectivity. This has resulted in the development of an exponentially increasing number of different solutions and services based on LoRa, be they dedicated to the long-term monitoring of distributed plants and infrastructures or to human-centred applications such as safety-oriented sensor systems for use in the workplace. In dense LoRa networks, predicting the number of supported nodes in relation to their position and the propagation environment is essential for ensuring reliable and stable communication and minimising costs. In this paper, after comparing different path loss models based on a field measurement campaign for LoRa received signal strength indicator values within a university campus, two main modifications of the LoRa simulator tool were implemented. These were aimed at improving the accuracy of the prediction of the number of sustainable nodes in relation to the target data extraction rate set. The simulations based on field measurements demonstrated that through an improved path loss evaluation and the use of three gateways, the number of nodes could be increased theoretically from around 100 to around 6,000

Traffic Clearance for Ambulance during Pandemic Situation and Road Accidents using LoRaWAN Network

Intelligent Transportation System (ITS) plays an important role in handling pandemic situation and disaster management. Due to rapid urbanization, there is a requirement for implementing an effective traffic control system not only to avoid heavy congestion but also to make a better solution for ambulance clearance which would help to save the human life. The proposed work intends to implement an effective traffic control system using Long-Range Wide Area Network (LoRaWAN) that provides seamless traffic clearance for ambulances, so that they reach the hospitals without any delay. Cupcarbon, a Wireless Sensor Network (WSN) simulator, is used to evaluate the performance of the proposed work. The simulation involves a case study considering an accident zone in Coimbatore city and the performance of the proposed system is compared with that of existing systems. The simulation results prove that LoRaWAN can be used to effectively control the traffic lights with a wider coverage range, as compared to existing systems

Manufacturing Process Monitoring in Terms of Energy Management Improving

Seeking out new technologies and deploying them for competitive advantage is a key priority for any company. In this context, Internet of Things (IoT) promise to change the way we live and work. IoT could help us in overtaking the top global challenges, as energy management, agriculture and food security, environment and natural resources security, etc., but to achieve this vision, "things" need to sense their environment and share this information among them as well as with us to offer intelligent decision-making. Nowadays, IoT become even more interesting due to the existence of Low Power Wide Area (LPWA) networks. LPWA is a key component of a wider IoT technology wave. In this paper, a LoRaWAN based solution is presented, for manufacturing process monitoring, in order to improve energy management in plants. The authors present a minimally invasive device, with which many product manufacturing data can be obtained for analysis and further improvements. This paper is an extended variant of [14]

Implementación de Lora y Lorawan como escenario futuro de la industrias 4.0 en el sector agroindustrial peruano

El panorama actual del sector agroindustrial exige la inclusión de nuevas tecnologías que contribuyan a solucionar los constantes problemas a los que se enfrenta. Internet of Things se presenta como una alternativa para mitigarlos; sin embargo, las implementaciones de esta tecnología se realizan con el uso de redes de datos tradicionales como Wifi o redes celulares, las cuales representan un alto costo y consumo de energía. En esta investigación se realizó un análisis de la arquitectura y funcionamiento de la tecnología LoRa y el protocolo LoRaWAN, además de plantearse una serie de recomendaciones de cómo implementarla conjuntamente con otras tecnologías emergentes como es el BlockChain, todo esto, aplicado a la agroindustria peruana