Automated Deployment of IoT Networks in Outdoor Scenarios using an Unmanned Ground Vehicle

Romeo, Laura; Petitti, Antonio; Colella, R.; Valecce, Giovanni; Boccadoro, Pietro; Milella, Annalisa; Grieco, Luigi Alfredo

doi:10.1109/icit45562.2020.9067099

Cited by 8 publications

(6 citation statements)

References 16 publications

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“…To do this, a smart sensor network may be utilized to monitor and measure any changes in plants using a smart sensor network [91]. In [92], a sensor network is deployed automatically by a mobile robot, which is used to find the optimal location of the distribution node sensors to collect as much data from the environment as possible.…”

Section: Discussionmentioning

confidence: 99%

“…The mobile robot is equipped with various agricultural sensors (humidity sensor, temperature sensor, pollution sensor, crop hazard sensor) and voice detection via a network smartwatch. [92] 2020 UGVs are used to find the most suitable deploying spot for a WSN device, analyzing the field and gathering knowledge about the terrain situation. Agriculture…”

Section: Manufacturingmentioning

confidence: 99%

See 1 more Smart Citation

Internet of Robotic Things: A Review

Khalid

2021

JASTT

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The Internet of Things (IoT) gives a strong structure for connecting things to the internet to facilitate Machine to Machine (M2M) communication and data transmission through basic network protocols such as TCP/IP. IoT is growing at a fast pace, and billions of devices are now associated, with the amount expected to reach trillions in the coming years. Many fields, including the army, farming, manufacturing, healthcare, robotics, and biotechnology, are adopting IoT for advanced solutions as technology advances. This paper offers a detailed view of the current IoT paradigm, specifically proposed for robots, namely the Internet of Robotic Things (IoRT). IoRT is a collection of various developments such as Cloud Computing, Artificial Intelligence (AI), Machine Learning, and the (IoT). This paper also goes over architecture, which would be essential in the design of Multi-Role Robotic Systems for IoRT. Furthermore, includes systems underlying IoRT, as well as IoRT implementations. The paper provides the foundation for researchers to imagine the idea of IoRT and to look beyond the frame while designing and implementing IoRT-based robotic systems in real-world implementations.

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Section: Discussionmentioning

confidence: 99%

Section: Manufacturingmentioning

confidence: 99%

Internet of Robotic Things: A Review

Khalid

2021

JASTT

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“…On the other hand, there are some works [22,23] that describe rescue operations and security issues due to earthquakes, harsh climate, etc. Supplying location and tracking systems is essential to save firefighters' lives during fire operations and speed up the rescue intervention.…”

Section: Location Estimation For Navigation and Firefighter Trackingmentioning

confidence: 99%

HelpResponder—System for the Security of First Responder Interventions

Rodriguez‐Sanchez

Fernández-Jiménez

Jiménez

et al. 2021

Sensors

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Firefighter’s interventions under dense smoke and flames are hazardous and ideally need an efficient in-advance geo-located actuation plan. The existing communication and sensing technologies should be customized, optimized, and integrated to better know the conditions (flame locations, air condition) before and during the rescue team’s interventions. In this paper, we propose a firefighter intervention architecture, which consists of several sensing devices (flame detectors, carbon dioxide air content) a navigation platform (an autonomous ground wheeled robot), and a communication/localization network (BLE IoT network) that can be used before and during an intervention in rescue or fire extinguishing missions even for indoor or confined spaces. The paper’s key novelty presents our integrated solution, giving some key implementation details and an intensive experimentation campaign in two real firefighter scenarios with real controlled fires. Results carried out in these real indoor scenarios are presented to demonstrate the feasibility of the system. A fire detection system is proposed to improve fire focus in real time and moving in confined spaces with no visibility and physical references. The results obtained in the experimentation show the proposal’s effectiveness in locating the fire focus’s position and orientation reducing time and risk exposure. This kind of location-aware fire integrated systems would significantly impact the speed and security of first responder interventions.

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“…The main goal of this farm management approach is to efficiently reduce farm resources, limiting the cost of agricultural production, while maximizing the yield. To reach this goal, a network of intelligent sensor can be used to monitor and measure any change in plants, using a network of intelligent sensors [ 83 , 84 ]. In this context, the WSN system, composed of a limited number of nodes integrating radio frequency (RF) transceivers, micro-controllers, sensors, and power sources [ 100 ], can provide further support in gathering, controlling and monitoring of data [ 101 , 102 ].…”

Section: Smart Domains and Applications In The Iort Systemsmentioning

confidence: 99%

“…Such properties offer high spatial and temporal resolution to monitor crops through the sensor nodes deployed across the agricultural fields [ 106 ]. In [ 84 ], a sensor network is automatically deployed by a mobile robot, which is used to look for the best suitable position of the deploying node sensors, aiming to gather as much data as possible from the surrounding environment. A comparison to a manual deployment has been conducted, showing that the robotic-aided approach leads to higher performance, managing to increase communication efficiency, aiming to monitor environmental parameters in wide outdoor environments.…”

Section: Smart Domains and Applications In The Iort Systemsmentioning

confidence: 99%

Internet of Robotic Things in Smart Domains: Applications and Challenges

Romeo

Petitti

Marani

et al. 2020

Sensors

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With the advent of the Fourth Industrial Revolution, Internet of Things (IoT) and robotic systems are closely cooperating, reshaping their relations and managing to develop new-generation devices. Such disruptive technology corresponds to the backbone of the so-called Industry 4.0. The integration of robotic agents and IoT leads to the concept of the Internet of Robotic Things, in which innovation in digital systems is drawing new possibilities in both industrial and research fields, covering several domains such as manufacturing, agriculture, health, surveillance, and education, to name but a few. In this manuscript, the state-of-the-art of IoRT applications is outlined, aiming to mark their impact on several research fields, and focusing on the main open challenges of the integration of robotic technologies into smart spaces. IoRT technologies and applications are also discussed to underline their influence in everyday life, inducing the need for more research into remote and automated applications.

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Automated Deployment of IoT Networks in Outdoor Scenarios using an Unmanned Ground Vehicle

Cited by 8 publications

References 16 publications

Internet of Robotic Things: A Review

Internet of Robotic Things: A Review

HelpResponder—System for the Security of First Responder Interventions

Internet of Robotic Things in Smart Domains: Applications and Challenges

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