scholarly journals Backscattered Visible Light Sensing of Retroreflective Foils Utilizing Random Forest Based Classification for Speed and Movement Direction Determination and Identification of an Indoor Moving Object

Telecom ◽  
2021 ◽  
Vol 2 (4) ◽  
pp. 574-599
Author(s):  
Andreas Peter Weiss ◽  
Franz Peter Wenzl
Keyword(s):  
Random Forest ◽  
Internet Of Things ◽  
Visible Light ◽  
Moving Object ◽  
Supervised Machine Learning ◽  
Movement Direction ◽  
The Internet ◽  
Energy Efficient Routing ◽  
Light Sensing ◽  
The Internet Of Things

Making the Internet of Things “green” has become a major research focus in recent years. The anticipated massive increase in the numbers of sensor and communication devices makes this endeavor even more important, resulting in various solution approaches ranging from energy harvesting to energy efficient routing schemes. In this work, we propose a system that can perform some of the main tasks of the Internet of Things, namely identification and sensing of an indoor moving object, by the means of visible light sensing in combination with off-the-shelf retroreflective foils, without the necessity to place any actively powered components on the object itself. By utilizing the supervised machine learning approach of random forest, we show that these two tasks can be fulfilled with up to 99.96% accuracy. Based on our previous findings in this regard, we propose some advancements and improvements of the overall system, yielding better results in parallel with an increased complexity of the system. Furthermore, we expand the number of performable tasks toward additional movement direction determination. The achieved results demonstrate the applicability of visible light sensing and its potentials for a “green” Internet of Things.

Bifunctional gas sensor based on Bi2S3/SnS2 heterostructures with improved selectivity through visible light modulation

2022 ◽  
Author(s):  
Tingting Wang ◽  
Juanyuan Hao ◽  
Jiaying Liu ◽  
Yanling Zhang ◽  
Qihua Liang ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Visible Light ◽  
Gas Sensor ◽  
Gas Sensors ◽  
Room Temperature ◽  
The Internet ◽  
Light Modulation ◽  
Sensing Platform ◽  
Hazardous Gases ◽  
The Internet Of Things

Effective monitoring of hazardous gases at room-temperature is extremely indispensable in the “Internet of things” application; however, developing bifunctional gas sensors for the advanced sensing platform still remains a challenge....

A Location Based Energy Proficient Path Routing for Internet of Things and Its Applications

2020 ◽  
pp. 6-10
Author(s):  
Arulanantham D ◽  
Pradeepkumar G ◽  
Palanisamy C ◽  
Dineshkumar Ponnusamy
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Network Architecture ◽  
Base Station ◽  
Consumer Electronics ◽  
The Internet ◽  
Energy Efficient Routing ◽  
The Internet Of Things

The Internet of Things (IoT) is an establishment with sensors, base station, gateway, and network servers. IoT is an efficient and intellectual system that minimizes human exertion as well as right to use to real devices. This method also has an autonomous control property by which any device can control without any human collaboration. IoT-based automation has become very reasonable and it has been applied in several sectors such as manufacturing, transport, health care, consumer electronics, etc. In WSN’s smaller energy consumption sensors are expected to run independently for long phases. So much ongoing researches on implementing routing protocols for IoTbased WSNs.Energy consciousness is an essential part of IoT based WSN design issue. Minimalizing Energy consumption is well-thought-out as one of the key principles in the Expansion of routing protocols for the Internet of things. In this paper, we propose a Location based Energy efficient path routing for Internet of things and its applications its sensor position and clustering based finding the shortest path and real time implementation of Arduino based wireless sensor network architecture with the ESP8266 module. Finally, analyze the principles of Location-based energy-efficient routing and performance of QoS parameters, and then implemented automatic gas leakage detection and managing system.

scholarly journals A Survey on Enhanced Energy Efficient Routing Protocol of WSN for Internet of Things

2021 ◽  
Vol 23 (07) ◽  
pp. 1499-1508
Author(s):  
Bhukya Suresh ◽  
◽  
G Shyama Chandra Prasad ◽  
Keyword(s):  
Internet Of Things ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Fog Computing ◽  
Routing Algorithms ◽  
Wireless Sensor ◽  
The Internet ◽  
Energy Efficient Routing ◽  
Real World Applications ◽  
The Internet Of Things

Wireless Sensor Networks (WSNs) are a resource-constrained network class recognized as a major energy consumer. Wireless sensor technologies are used in many commercialized industrial automation processes and other real-world applications. The WSN protocol is well-suited to harsh situations where deployment is difficult or impossible, such as the battlefield, a toxic chemical plant, the cloud, fog computing, and the Internet of Things, but not in a high-temperature network infrastructure environment. WSNs have introduced various Energy-Efficient Routing Protocols based on network (NW) organization and protocols in recent years. Various WSN routing options for energy efficiency are explored in this work. The WSN Energy Efficient Routing Protocol is compared to other routing systems. We also compare and investigate better WSN routing algorithms for cloud computing, fog computing, and the Internet of Things.

Enhancement of Energy Efficient Routing Scheduling Algorithm based on SDN Using IoT

2021 ◽  
Vol 8 (1) ◽  
pp. 10-18
Author(s):  
Jayaprakash Mayilsamy ◽  
Devi Priya Rangasamy
Keyword(s):  
Energy Efficiency ◽  
Internet Of Things ◽  
Traffic Management ◽  
Scheduling Algorithm ◽  
Cost Effective ◽  
Path Selection ◽  
The Internet ◽  
Energy Efficient Routing ◽  
Improve Energy Efficiency ◽  
The Internet Of Things

The Internet of Things (IoT) and Software Defined Network (SDN) are two development tools. The administrators organize SDN combined plans and the internet's corporate control by the Internet of Things in decoupling the plane and the flight information. The SDN Providence proposals flexible and programmable IoT in the network. Improvement of energy efficiency in assembly operations in the sequence of legal leadership and command of contract permits for the development of any creative office. Each of the most important processes that enable effective and cost-effective routing is planning and transportation management, including scheduling options. The existing system If Packaging and an optimal network deliver solutions to this problem. In each automatic carrier, there are limitations of breach capacity and time limit. The optimization model first level establishes an IoT Network and verifies the Request and response received the signal. The second step is to identify the effective insertion process and the practical data load balancing method for the two-term operations every process, and third level configures the IoT model. Finally, routing scheduling section included to identify the node features significantly change the reality. The similarities in planning, traffic management, and network planning need implicit. They will reduce cost and improve energy efficiency by eliminating the time to support them. Therefore, alignment, planning, routing and routing path selection in the production process are be mentioned throughout the similarities.

scholarly journals VariantSpark, A Random Forest Machine Learning Implementation for Ultra High Dimensional Data

2019 ◽  
Author(s):  
Arash Bayat ◽  
Piotr Szul ◽  
Aidan R. O’Brien ◽  
Robert Dunne ◽  
Oscar J. Luo ◽  
...  
Keyword(s):  
Machine Learning ◽  
Random Forest ◽  
Internet Of Things ◽  
Random Forests ◽  
Life Sciences ◽  
High Dimensional ◽  
The Internet ◽  
Machine Learning Methods ◽  
High Dimensional Datasets ◽  
The Internet Of Things

AbstractThe demands on machine learning methods to cater for ultra high dimensional datasets, datasets with millions of features, have been increasing in domains like life sciences and the Internet of Things (IoT). While Random Forests are suitable for “wide” datasets, current implementations such as Google’s PLANET lack the ability to scale to such dimensions. Recent improvements by Yggdrasil begin to address these limitations but do not extend to Random Forest. This paper introduces CursedForest, a novel Random Forest implementation on top of Apache Spark and part of the VariantSpark platform, which parallelises processing of all nodes over the entire forest. CursedForest is 9 and up to 89 times faster than Google’s PLANET and Yggdrasil, respectively, and is the first method capable of scaling to millions of features.

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