scholarly journals IoT Enabled Intelligent Sensor Node for Smart City: Pedestrian Counting and Ambient Monitoring

Sensors ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 3374 ◽  
Author(s):  
Fowzia Akhter ◽  
Sam Khadivizand ◽  
Hasin Reza Siddiquei ◽  
Md Eshrat E. Alahi ◽  
Subhas Mukhopadhyay
Keyword(s):  
Smart City ◽  
Sensor Node ◽  
Fresnel Lens ◽  
Sensor Nodes ◽  
Area Network ◽  
Wide Area Network ◽  
Intelligent Sensor ◽  
Internet Server ◽  
Volatile Organic ◽  
Pedestrian Counting

An Internet of Things (IoT) enabled intelligent sensor node has been designed and developed for smart city applications. The fabricated sensor nodes count the number of pedestrians, their direction of travel along with some ambient parameters. The Field of View (FoV) of Fresnel lens of commercially available passive infrared (PIR) sensors has been specially tuned to monitor the movements of only humans and no other domestic animals such as dogs, cats etc. The ambient parameters include temperature, humidity, pressure, Carbon di Oxide (CO2) and total volatile organic component (TVOC). The monitored data are uploaded to the Internet server through the Long Range Wide Area Network (LoRaWAN) communication system. An intelligent algorithm has been developed to achieve an accuracy of 95% for the pedestrian count. There are a total of 74 sensor nodes that have been installed around Macquarie University and continued working for the last six months.

scholarly journals Gateway sink placement for sensor node grid distribution in lora smart city networks

2019 ◽  
Vol 14 (2) ◽  
pp. 834
Author(s):  
Nur Aishah Bt. Zainal ◽  
Mohamed Hadi Habaebi ◽  
Israth Jahan Chowdhury ◽  
Md Rafiqul Islam ◽  
Jamal I. Daoud
Keyword(s):  
Long Range ◽  
Smart City ◽  
Sensor Node ◽  
New Technology ◽  
Real Life ◽  
Data Communication ◽  
Area Network ◽  
Wide Area Network ◽  
Battery Lifetime ◽  
Wireless Communication Network

<span>Low Power Wide Area Network (LPWAN) is a type of wireless communication network designed to allow long range communications at a low bit rate among things (connected objects), such as sensors operated on a battery. It is a new technology that operates in unauthorized spectrum which designed for wireless data communication [1]. It is used in Internet of Thing (IoT) applications and M2M communications. It provides multi-year battery lifetime and is intended for sensors and applications that need to transmit only a few information over long distances a few times per hour from different environments. In order to have an insight of such long range technology, this paper evaluates the performance of LoRa radio links under shadowing effect and realistic smart city utilities node grid distribution. Such environment is synonymous to residential, industrial and modern urban centers. The focus is to include the effect of shadowing on the radio links while attempting to study the optimum sink node numbers and their locations for maximum sensor node connectivity. Results indicate that the usual unrealistic random node distribution does not reflect actual real-life scenario where many of the these sensing nodes follow the utilities infrastructure around the city (e.g., street light posts, water and gas delivery pipes,…etc). The system is evaluated in terms of connectivity and packet loss ratio.</span>

Evaluation of Energy Consumption of LPWAN Technologies

2021 ◽  
Author(s):  
Husam Rajab ◽  
Tibor Cinkler ◽  
Taoufik Bouguera
Keyword(s):  
Energy Consumption ◽  
Low Power ◽  
Sensor Node ◽  
Minimum Energy ◽  
Sensor Nodes ◽  
Sleep Mode ◽  
Area Network ◽  
Wide Area Network ◽  
Battery Lifetime ◽  
Minimum Energy Consumption

Abstract The modern technological innovations provide small radios with ability to broadcast over vast areas with minimum energy consumption that will significantly influence the future of the Internet of Things (IoT) communications. The majority of IoT implementations demand sensor nodes run reliably for an extended time. Furthermore, the radio settings can endure a high data rate transmission while optimizing the energy-efficiency. The LoRa/LoRaWAN is one of the primary Low-Power Wide Area Network (LPWAN) technology that has highly enticed much concentration recently from the community. The energy limits is a significant issue in wireless sensor networks since battery lifetime that supplies sensor nodes have a restricted amount of energy and neither expendable nor rechargeable in most cases. A common hypothesis in previous work is that the energy consumed by sensors in sleep mode is negligible. With this hypothesis, the usual approach is to consider subsets of nodes that reach all the iterative targets. These subsets also called coverage sets, are then put in the active mode, considering the others are in the low-power or sleep mode. In this paper, we address this question by proposing an energy consumption model based on LoRa and LoRaWAN, that model optimizes the energy consumption of the sensor node for different tasks for a period of time. The proposed analytical approach permits considering the consumed power of every sensor node element; furthermore, it can be used to analyse different LoRaWAN modes to determine the most desirable sensor node design to reach its energy autonomy.

scholarly journals Practical aspects of cellular M2M systems design

2015 ◽  
Vol 28 (4) ◽  
pp. 541-556
Author(s):  
Aneta Prijic ◽  
Ljubomir Vracar ◽  
Dusan Vuckovic ◽  
Danijel Dankovic ◽  
Zoran Prijic
Keyword(s):  
Systems Design ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Software Architectures ◽  
Area Network ◽  
Application Software ◽  
Wide Area Network ◽  
Network Systems ◽  
Wireless Sensor Nodes ◽  
Design Challenges

This paper highlights some crucial design challenges of Machine-to-Machine (M2M) systems. The focus is on the cellular based, wireless wide area network systems. Design of M2M terminals, used as wireless sensor nodes, is covered in detail, including the criteria for selecting appropriate core and hard- ware peripherals. Discussion is extended to modeling and design of terminal?s embedded software. Communication using framework and backend application software architectures are explored. Practical examples of the described design principles are demonstrated.

scholarly journals Eco-Efficient Mobility in Smart City Scenarios

2020 ◽  
Vol 12 (20) ◽  
pp. 8443
Author(s):  
Ramon Sanchez-Iborra ◽  
Luis Bernal-Escobedo ◽  
José Santa
Keyword(s):  
Intelligent Transportation Systems ◽  
Smart City ◽  
Smart Cities ◽  
Low Cost ◽  
Transportation Systems ◽  
Area Network ◽  
Wide Area Network ◽  
Fully Integrated ◽  
Personal Mobility ◽  
Traffic Efficiency

Cooperative-Intelligent Transportation Systems (C-ITS) have brought a technological revolution, especially for ground vehicles, in terms of road safety, traffic efficiency, as well as in the experience of drivers and passengers. So far, these advances have been focused on traditional transportation means, leaving aside the new generation of personal vehicles that are nowadays flooding our streets. Together with bicycles and motorcycles, personal mobility devices such as segways or electric scooters are firm sustainable alternatives that represent the future to achieve eco-friendly personal mobility in urban settings. In a near future, smart cities will become hyper-connected spaces where these vehicles should be integrated within the underlying C-ITS ecosystem. In this paper, we provide a wide overview of the opportunities and challenges related to this necessary integration as well as the communication solutions that are already in the market to provide these moving devices with low-cost and efficient connectivity. We also present an On-Board Unit (OBU) prototype with different communication options based on the Low Power Wide Area Network (LPWAN) paradigm and several sensors to gather environmental information to facilitate eco-efficiency services. As the attained results suggest, this module allows personal vehicles to be fully integrated in smart city environments, presenting the possibilities of LoRaWAN and Narrow Band-Internet of Things (NB-IoT) communication technologies to provide vehicle connectivity and enable mobile urban sensing.

scholarly journals DXN: Dynamic AI-Based Analysis and Optimisation of IoT Networks’ Connectivity and Sensor Nodes’ Performance

Signals ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 570-585
Author(s):  
Ihsan Lami ◽  
Alnoman Abdulkhudhur
Keyword(s):  
Time Series ◽  
Smart City ◽  
Sensor Node ◽  
Network Connectivity ◽  
Sensor Nodes ◽  
Time Series Models

Most IoT networks implement one-way messages from the sensor nodes to the “application host server” via a gateway. Messages from any sensor node in the network are sent when its sensor is triggered or at regular intervals as dictated by the application, such as a Smart-City deployment of LoRaWAN traps/sensors for rat detection. However, these traps can, due to the nature of this application, be moved out of signal range from their original location, or obstructed by objects, resulting in under 69% of the messages reaching the gateway. Therefore, applications of this type would benefit from control messages from the “application host server” back to the sensor nodes for enhancing their performance/connectivity. This paper has implemented a cloud-based AI engine, as part of the “application host server”, that dynamically analyses all received messages from the sensor nodes and exchanges data/enhancement back and forth with them, when necessary. Hundreds of sensor nodes in various blocked/obstructed IoT network connectivity scenarios are used to test our DXN solution. We achieved 100% reporting success if access to any blocked sensor node was possible via a neighbouring node. DXN is based on DNN and Time Series models.

scholarly journals A Study on the Impact of Nodes Density on the Energy Consumption of LoRa

2021 ◽  
Vol 15 (14) ◽  
pp. 157
Author(s):  
Aizat Faiz Ramli ◽  
Muhammad Ikram Shabry ◽  
Mohd Azlan Abu ◽  
Hafiz Basarudin
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Low Power ◽  
Large Scale ◽  
Sensor Nodes ◽  
Delivery Ratio ◽  
Area Network ◽  
Wide Area Network ◽  
Consumption Ratio ◽  
The Impact

LoRaWAN is one of the leading Low power wide area network (LPWAN) LPWAN technologies that compete for the formation of big scale Internet of Things (IoT). It uses LoRa protocol to achieve long range, low bit rate and low power communication. Large scale LoRaWAN based IoT deployments can consist of battery powered sensor nodes. Therefore, the energy consumption and efficiency of these nodes are crucial factors that can influence the lifetime of the network. However, there is no coherent experimental based research which identifies the factors that influence the LoRa energy efficiency at various nodes density. In this paper, results on measuring the packet delivery ratio, packet loss, data rate and energy consumption ratio ECR to gauge the energy efficiency of LoRa devices at various nodes density are presented. It is shown that the ECR of LoRa is inversely proportional to the nodes density and that the ECR of the network is smaller at higher traffic indicating better network energy efficiency. It is also demonstrated that at high node density, spreading factor SF of 7 and 9 can improve the energy efficiency of the network by 5 and 3 times, respectively, compare to SF 11.

„Stadtwerke sollten Zukunftsfelder schnell besetzen“

BWK ENERGIE. ◽  
2019 ◽  
Vol 71 (05) ◽  
pp. 24-25
Author(s):  
Steffen Heudtlaß
Keyword(s):  
Internet Of Things ◽  
Long Range ◽  
Smart City ◽  
Smart Home ◽  
Wide Area ◽  
Area Network ◽  
Wide Area Network ◽  
Smart Building

INTERNET OF THINGS | Ob Smart Home, Smart Building oder Smart City – Stadtwerke sollten die neuen Betätigungsfelder mithilfe der Long-Range-Wide-Area-Network (LoRaWAN)-Funktechnologie rasch besetzen, rät Steffen Heudtlaß, bei der MeterPan GmbH verantwortlicher Geschäftsentwickler. Das Unternehmen aus Norderstedt unterstützt Versorger beim Schritt in die Welt des Internet of Things (IoT).

scholarly journals QoS Analysis Of Kinematic Effects For Bluetooth HC-05 And NRF24L01 Communication Modules On WBAN System

2019 ◽  
pp. 187-196 ◽  
Author(s):  
Mahar Faiqurahman ◽  
Diyan Anggraini Novitasari ◽  
Zamah Sari
Keyword(s):  
Human Body ◽  
Packet Loss ◽  
Sensor Node ◽  
Wireless Body Area Network ◽  
Sensor Nodes ◽  
Experimental Result ◽  
Area Network ◽  
Gateway Node ◽  
Average Value ◽  
The Impact

Wireless Body Area Network (WBAN) consists of a number of sensor nodes that are attached to the human body, and intended for monitor the human body condition. The WBAN system has several wireless communication modules that are used for sending or exchanging data between sensor nodes and gateway nodes or gateway nodes. There are some factors that are used to decide which communication modules should be implemented on WBAN system, including communication efficiency, distance range, power consumption, and the effect of mobility on QoS. In this study, we analyze the impact of the kinematic movement of sensor nodes on QoS parameter of HC-05 Bluetooth and NRF25L01 communication modules, during sending and receiving process among nodes. We assume that the sensor node and gateway node are attached on the limbs to catch the movement. We use Quality of Service (QoS) parameters such as delay, jitter, and packet loss, to analyze the impact of movement on communication modules. Based on the experimental result, it was found that the average value of delay and jitter for booth communication modules was slightly influenced by the speed of the sensor node movement. During the sensor node movement and data transmission, we found that the NRF24L01 module have a lower delay and jitter value than Bluetooth HC-05 module. The percentage of packet loss tends to be stable at 0% value, even though the speed value becomes higher.

scholarly journals Enhancing Extensive and Remote LoRa Deployments through MEC-Powered Drone Gateways

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4109
Author(s):  
Jorge Gallego-Madrid ◽  
Alejandro Molina-Zarca ◽  
Ramon Sanchez-Iborra ◽  
Jorge Bernal-Bernabe ◽  
José Santa ◽  
...  
Keyword(s):  
Sensor Nodes ◽  
Communication Link ◽  
Area Network ◽  
Wide Area Network ◽  
Test Bed ◽  
Iot Devices ◽  
Multi Access ◽  
Link Availability ◽  
Memory Resources ◽  
Back Office

The distribution of Internet of Things (IoT) devices in remote areas and the need for network resilience in such deployments is increasingly important in smart spaces covering scenarios, such as agriculture, forest, coast preservation, and connectivity survival against disasters. Although Low-Power Wide Area Network (LPWAN) technologies, like LoRa, support high connectivity ranges, communication paths can suffer from obstruction due to orography or buildings, and large areas are still difficult to cover with wired gateways, due to the lack of network or power infrastructure. The proposal presented herein proposes to mount LPWAN gateways in drones in order to generate airborne network segments providing enhanced connectivity to sensor nodes wherever needed. Our LoRa-drone gateways can be used either to collect data and then report them to the back-office directly, or store-carry-and-forward data until a proper communication link with the infrastructure network is available. The proposed architecture relies on Multi-Access Edge Computing (MEC) capabilities to host a virtualization platform on-board the drone, aiming at providing an intermediate processing layer that runs Virtualized Networking Functions (VNF). This way, both preprocessing or intelligent analytics can be locally performed, saving communications and memory resources. The contribution includes a system architecture that has been successfully validated through experimentation with a real test-bed and comprehensively evaluated through computer simulation. The results show significant communication improvements employing LoRa-drone gateways when compared to traditional fixed LoRa deployments in terms of link availability and covered areas, especially in vast monitored extensions, or at points with difficult access, such as rugged zones.

scholarly journals LoRaWAN for Smart City IoT Deployments: A Long Term Evaluation

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 648 ◽  
Author(s):  
Philip J. Basford ◽  
Florentin M. J. Bulot ◽  
Mihaela Apetroaie-Cristea ◽  
Simon J. Cox ◽  
Steven J. Ossont
Keyword(s):  
Air Quality ◽  
Communication Technology ◽  
Smart City ◽  
Area Network ◽  
Wide Area Network ◽  
Network Access ◽  
Access Site ◽  
Term Evaluation ◽  
Commercial Off The Shelf

LoRaWAN is a Low-Power Wide Area Network (LPWAN) technology designed for Internet of Things (IoT) deployments; this paper presents experiences from deploying a city-scale LoRaWAN network across Southampton, UK. This network was deployed to support an installation of air quality monitors and to explore the capabilities of LoRaWAN. This deployment uses a mixture of commercial off-the-shelf gateways and custom gateways. These gateway locations were chosen based on network access, site permission and accessibility, and are not necessarily the best locations theoretically. Over 135,000 messages have been transmitted by the twenty devices analysed. Over the course of the complete deployment, 72.4 % of the messages were successfully received by the data server. Of the messages that were received, 99% were received within 10 s of transmission. We conclude that LoRaWAN is an applicable communication technology for city-scale air quality monitoring and other smart city applications.

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