Fabrizio Lapiello
Innovator

Fabrizio Lapiello

81100 Caserta, Province of Caserta, Italy

Activity Feed

Aaeaaqaaaaaaaanfaaaajdy4yjc2nmewltg0mtatndgznc1iyte5lwnkyzvjyzqwywfkoq

Fabrizio L. added photos to project BTM - Big trees monitor

Medium aa73f57b 2473 4604 8120 25d40bcc0d3c

BTM - Big trees monitor

The sensors for big trees monitoring are positioned and installed following a safety analysis to determine the danger and the area of fall in order to be able to provide well in advance the fall of the tree and therefore, the possible commissioning in security of the surrounding area.

The initial safety analyzes allow us to estimate the height to which the sensors can be positioned, which will allow the monitoring of vibrations and movements even of the minimum amount of the shaft.

Medium aaeaaqaaaaaaaanfaaaajdy4yjc2nmewltg0mtatndgznc1iyte5lwnkyzvjyzqwywfkoq

Fabrizio L. created project BTM - Big trees monitor

Medium aa73f57b 2473 4604 8120 25d40bcc0d3c

BTM - Big trees monitor

The sensors for big trees monitoring are positioned and installed following a safety analysis to determine the danger and the area of fall in order to be able to provide well in advance the fall of the tree and therefore, the possible commissioning in security of the surrounding area.

The initial safety analyzes allow us to estimate the height to which the sensors can be positioned, which will allow the monitoring of vibrations and movements even of the minimum amount of the shaft.

Aaeaaqaaaaaaaanfaaaajdy4yjc2nmewltg0mtatndgznc1iyte5lwnkyzvjyzqwywfkoq

Fabrizio L. added photos to project Safety Sensors Networks on Ships

Medium 0ffaada3 1d5f 4120 8bf2 aeae9f8f081e

Safety Sensors Networks on Ships

Idea

Create a network with fixed sensor nodes installed in every livable room on board of any kind of ships , each nodes have an electronic board with a series of sensors for monitoring oxygenation, air quality, temperature and noise levels.
Relief data is essential for safety, health, well-being and comfort onboard for the crew and the passengers.

Description

Continuous technological advances in miniaturization and in the construction of low energy consumption circuits and the continuous progress in the field of information coupled with the high level of efficiency achieved by radio communication devices, increasingly affirm a new technological perspective: Sensor networks (WSN - Wireless sensor network).
This technology arise from the fact that electronic devices are becoming smaller and more complex, and the tendency is to distribute intelligence into objects with relatively lower computing power but strongly related each other, instead of bring it together to a single expensive unit, cumbersome and hardly manageable; The birth of WSN is due to a basic idea which involves the use of a large number of nodes, allowing to perform reliefs and elaborations with greater precision and frequency than the single sensor case of use, capable of providing better performances at detriment of higher costs.
All those premise is the logic from which the project starts, distributing analysis and reliefs among multiple fixed nodes (connected boards) that converge acquired data into defined points connected to data collections center for immediate use in order to be able to intervene in the event of any abnormal values.
Mobile nodes consist essentially of:

- Processor (CPU): usually represented by a microcontroller that performs all management functions, including translation of transducers electrical signals, actuator management and communication control

- Memory: Represents a volatile memory block that acts as an aid to execution

- Transducers: can be more than one, transform some physical dimension (oxygenation, air quality, temperature and noise levels) into an electrical signal

- Actuators: they can be more than one and of a different kind (Leds, acoustic sonar etc ..)

- Communication Unit: Allows inter-node communication

Network description

One of the primary features of this network type is the management of logical addressing and routing of packets.
In a WSN, addressing can follow a particular technique, so the network is partitioned into node clusters and for each cluster it is assigned a unique address.
In every cluster there is a coordinator that collects data from nodes and directs them to the collection center or possibly to the cluster group coordinator to which it belongs.
In this way, the address space is safeguarded while retaining the possibility of referring to certain portions of the network. A typical application example is showed in the picture.
Here, in fact, there is a practical application where clusters are grouped together in a large network. Red-circled knots act as coordinators for top-level clusters, while blue circled nodes act as coordinators for second-level clusters (the largest external ones) until they reach the data collection center.
As for the routing algorithms, it was chosen a proactive typology: this type of algorithm is based on the fact that each node knows the routing information useful to reach each other node. Each network component must have a table that contains all the minimum paths for possible destinations. Of course, this information is updated when network reconfigurations occur, but can also be updated when a node fails (so exclude that node from the tables) or under intense network traffic conditions and possible congestion (perhaps finding alternative paths).

Aaeaaqaaaaaaaanfaaaajdy4yjc2nmewltg0mtatndgznc1iyte5lwnkyzvjyzqwywfkoq

Fabrizio L. added photos to project Safety Sensors Networks on Ships

Medium 82072533 d42e 4f43 bd52 bc78195066b8

Safety Sensors Networks on Ships

Idea

Create a network with fixed sensor nodes installed in every livable room on board of any kind of ships , each nodes have an electronic board with a series of sensors for monitoring oxygenation, air quality, temperature and noise levels.
Relief data is essential for safety, health, well-being and comfort onboard for the crew and the passengers.

Description

Continuous technological advances in miniaturization and in the construction of low energy consumption circuits and the continuous progress in the field of information coupled with the high level of efficiency achieved by radio communication devices, increasingly affirm a new technological perspective: Sensor networks (WSN - Wireless sensor network).
This technology arise from the fact that electronic devices are becoming smaller and more complex, and the tendency is to distribute intelligence into objects with relatively lower computing power but strongly related each other, instead of bring it together to a single expensive unit, cumbersome and hardly manageable; The birth of WSN is due to a basic idea which involves the use of a large number of nodes, allowing to perform reliefs and elaborations with greater precision and frequency than the single sensor case of use, capable of providing better performances at detriment of higher costs.
All those premise is the logic from which the project starts, distributing analysis and reliefs among multiple fixed nodes (connected boards) that converge acquired data into defined points connected to data collections center for immediate use in order to be able to intervene in the event of any abnormal values.
Mobile nodes consist essentially of:

- Processor (CPU): usually represented by a microcontroller that performs all management functions, including translation of transducers electrical signals, actuator management and communication control

- Memory: Represents a volatile memory block that acts as an aid to execution

- Transducers: can be more than one, transform some physical dimension (oxygenation, air quality, temperature and noise levels) into an electrical signal

- Actuators: they can be more than one and of a different kind (Leds, acoustic sonar etc ..)

- Communication Unit: Allows inter-node communication

Network description

One of the primary features of this network type is the management of logical addressing and routing of packets.
In a WSN, addressing can follow a particular technique, so the network is partitioned into node clusters and for each cluster it is assigned a unique address.
In every cluster there is a coordinator that collects data from nodes and directs them to the collection center or possibly to the cluster group coordinator to which it belongs.
In this way, the address space is safeguarded while retaining the possibility of referring to certain portions of the network. A typical application example is showed in the picture.
Here, in fact, there is a practical application where clusters are grouped together in a large network. Red-circled knots act as coordinators for top-level clusters, while blue circled nodes act as coordinators for second-level clusters (the largest external ones) until they reach the data collection center.
As for the routing algorithms, it was chosen a proactive typology: this type of algorithm is based on the fact that each node knows the routing information useful to reach each other node. Each network component must have a table that contains all the minimum paths for possible destinations. Of course, this information is updated when network reconfigurations occur, but can also be updated when a node fails (so exclude that node from the tables) or under intense network traffic conditions and possible congestion (perhaps finding alternative paths).

Aaeaaqaaaaaaaanfaaaajdy4yjc2nmewltg0mtatndgznc1iyte5lwnkyzvjyzqwywfkoq

Fabrizio L. added photos to project Safety Sensors Networks on Ships

Medium dc7897b7 12e1 4e75 a019 dbbaffeb5b91

Safety Sensors Networks on Ships

Idea

Create a network with fixed sensor nodes installed in every livable room on board of any kind of ships , each nodes have an electronic board with a series of sensors for monitoring oxygenation, air quality, temperature and noise levels.
Relief data is essential for safety, health, well-being and comfort onboard for the crew and the passengers.

Description

Continuous technological advances in miniaturization and in the construction of low energy consumption circuits and the continuous progress in the field of information coupled with the high level of efficiency achieved by radio communication devices, increasingly affirm a new technological perspective: Sensor networks (WSN - Wireless sensor network).
This technology arise from the fact that electronic devices are becoming smaller and more complex, and the tendency is to distribute intelligence into objects with relatively lower computing power but strongly related each other, instead of bring it together to a single expensive unit, cumbersome and hardly manageable; The birth of WSN is due to a basic idea which involves the use of a large number of nodes, allowing to perform reliefs and elaborations with greater precision and frequency than the single sensor case of use, capable of providing better performances at detriment of higher costs.
All those premise is the logic from which the project starts, distributing analysis and reliefs among multiple fixed nodes (connected boards) that converge acquired data into defined points connected to data collections center for immediate use in order to be able to intervene in the event of any abnormal values.
Mobile nodes consist essentially of:

- Processor (CPU): usually represented by a microcontroller that performs all management functions, including translation of transducers electrical signals, actuator management and communication control

- Memory: Represents a volatile memory block that acts as an aid to execution

- Transducers: can be more than one, transform some physical dimension (oxygenation, air quality, temperature and noise levels) into an electrical signal

- Actuators: they can be more than one and of a different kind (Leds, acoustic sonar etc ..)

- Communication Unit: Allows inter-node communication

Network description

One of the primary features of this network type is the management of logical addressing and routing of packets.
In a WSN, addressing can follow a particular technique, so the network is partitioned into node clusters and for each cluster it is assigned a unique address.
In every cluster there is a coordinator that collects data from nodes and directs them to the collection center or possibly to the cluster group coordinator to which it belongs.
In this way, the address space is safeguarded while retaining the possibility of referring to certain portions of the network. A typical application example is showed in the picture.
Here, in fact, there is a practical application where clusters are grouped together in a large network. Red-circled knots act as coordinators for top-level clusters, while blue circled nodes act as coordinators for second-level clusters (the largest external ones) until they reach the data collection center.
As for the routing algorithms, it was chosen a proactive typology: this type of algorithm is based on the fact that each node knows the routing information useful to reach each other node. Each network component must have a table that contains all the minimum paths for possible destinations. Of course, this information is updated when network reconfigurations occur, but can also be updated when a node fails (so exclude that node from the tables) or under intense network traffic conditions and possible congestion (perhaps finding alternative paths).

Aaeaaqaaaaaaaanfaaaajdy4yjc2nmewltg0mtatndgznc1iyte5lwnkyzvjyzqwywfkoq

Fabrizio L. added photos to project Safety Sensors Networks on Ships

Medium 0ffaada3 1d5f 4120 8bf2 aeae9f8f081e

Safety Sensors Networks on Ships

Idea

Create a network with fixed sensor nodes installed in every livable room on board of any kind of ships , each nodes have an electronic board with a series of sensors for monitoring oxygenation, air quality, temperature and noise levels.
Relief data is essential for safety, health, well-being and comfort onboard for the crew and the passengers.

Description

Continuous technological advances in miniaturization and in the construction of low energy consumption circuits and the continuous progress in the field of information coupled with the high level of efficiency achieved by radio communication devices, increasingly affirm a new technological perspective: Sensor networks (WSN - Wireless sensor network).
This technology arise from the fact that electronic devices are becoming smaller and more complex, and the tendency is to distribute intelligence into objects with relatively lower computing power but strongly related each other, instead of bring it together to a single expensive unit, cumbersome and hardly manageable; The birth of WSN is due to a basic idea which involves the use of a large number of nodes, allowing to perform reliefs and elaborations with greater precision and frequency than the single sensor case of use, capable of providing better performances at detriment of higher costs.
All those premise is the logic from which the project starts, distributing analysis and reliefs among multiple fixed nodes (connected boards) that converge acquired data into defined points connected to data collections center for immediate use in order to be able to intervene in the event of any abnormal values.
Mobile nodes consist essentially of:

- Processor (CPU): usually represented by a microcontroller that performs all management functions, including translation of transducers electrical signals, actuator management and communication control

- Memory: Represents a volatile memory block that acts as an aid to execution

- Transducers: can be more than one, transform some physical dimension (oxygenation, air quality, temperature and noise levels) into an electrical signal

- Actuators: they can be more than one and of a different kind (Leds, acoustic sonar etc ..)

- Communication Unit: Allows inter-node communication

Network description

One of the primary features of this network type is the management of logical addressing and routing of packets.
In a WSN, addressing can follow a particular technique, so the network is partitioned into node clusters and for each cluster it is assigned a unique address.
In every cluster there is a coordinator that collects data from nodes and directs them to the collection center or possibly to the cluster group coordinator to which it belongs.
In this way, the address space is safeguarded while retaining the possibility of referring to certain portions of the network. A typical application example is showed in the picture.
Here, in fact, there is a practical application where clusters are grouped together in a large network. Red-circled knots act as coordinators for top-level clusters, while blue circled nodes act as coordinators for second-level clusters (the largest external ones) until they reach the data collection center.
As for the routing algorithms, it was chosen a proactive typology: this type of algorithm is based on the fact that each node knows the routing information useful to reach each other node. Each network component must have a table that contains all the minimum paths for possible destinations. Of course, this information is updated when network reconfigurations occur, but can also be updated when a node fails (so exclude that node from the tables) or under intense network traffic conditions and possible congestion (perhaps finding alternative paths).

Aaeaaqaaaaaaaanfaaaajdy4yjc2nmewltg0mtatndgznc1iyte5lwnkyzvjyzqwywfkoq

Fabrizio L. added photos to project Safety Sensors Networks on Ships

Medium dc7897b7 12e1 4e75 a019 dbbaffeb5b91

Safety Sensors Networks on Ships

Idea

Create a network with fixed sensor nodes installed in every livable room on board of any kind of ships , each nodes have an electronic board with a series of sensors for monitoring oxygenation, air quality, temperature and noise levels.
Relief data is essential for safety, health, well-being and comfort onboard for the crew and the passengers.

Description

Continuous technological advances in miniaturization and in the construction of low energy consumption circuits and the continuous progress in the field of information coupled with the high level of efficiency achieved by radio communication devices, increasingly affirm a new technological perspective: Sensor networks (WSN - Wireless sensor network).
This technology arise from the fact that electronic devices are becoming smaller and more complex, and the tendency is to distribute intelligence into objects with relatively lower computing power but strongly related each other, instead of bring it together to a single expensive unit, cumbersome and hardly manageable; The birth of WSN is due to a basic idea which involves the use of a large number of nodes, allowing to perform reliefs and elaborations with greater precision and frequency than the single sensor case of use, capable of providing better performances at detriment of higher costs.
All those premise is the logic from which the project starts, distributing analysis and reliefs among multiple fixed nodes (connected boards) that converge acquired data into defined points connected to data collections center for immediate use in order to be able to intervene in the event of any abnormal values.
Mobile nodes consist essentially of:

- Processor (CPU): usually represented by a microcontroller that performs all management functions, including translation of transducers electrical signals, actuator management and communication control

- Memory: Represents a volatile memory block that acts as an aid to execution

- Transducers: can be more than one, transform some physical dimension (oxygenation, air quality, temperature and noise levels) into an electrical signal

- Actuators: they can be more than one and of a different kind (Leds, acoustic sonar etc ..)

- Communication Unit: Allows inter-node communication

Network description

One of the primary features of this network type is the management of logical addressing and routing of packets.
In a WSN, addressing can follow a particular technique, so the network is partitioned into node clusters and for each cluster it is assigned a unique address.
In every cluster there is a coordinator that collects data from nodes and directs them to the collection center or possibly to the cluster group coordinator to which it belongs.
In this way, the address space is safeguarded while retaining the possibility of referring to certain portions of the network. A typical application example is showed in the picture.
Here, in fact, there is a practical application where clusters are grouped together in a large network. Red-circled knots act as coordinators for top-level clusters, while blue circled nodes act as coordinators for second-level clusters (the largest external ones) until they reach the data collection center.
As for the routing algorithms, it was chosen a proactive typology: this type of algorithm is based on the fact that each node knows the routing information useful to reach each other node. Each network component must have a table that contains all the minimum paths for possible destinations. Of course, this information is updated when network reconfigurations occur, but can also be updated when a node fails (so exclude that node from the tables) or under intense network traffic conditions and possible congestion (perhaps finding alternative paths).

Medium aaeaaqaaaaaaaanfaaaajdy4yjc2nmewltg0mtatndgznc1iyte5lwnkyzvjyzqwywfkoq

Fabrizio L. created project Safety Sensors Networks on Ships

Medium 0ffaada3 1d5f 4120 8bf2 aeae9f8f081e

Safety Sensors Networks on Ships

Idea

Create a network with fixed sensor nodes installed in every livable room on board of any kind of ships , each nodes have an electronic board with a series of sensors for monitoring oxygenation, air quality, temperature and noise levels. Relief data is essential for safety, health, well-being and comfort onboard for the crew and the passengers.

Description

Continuous technological advances in miniaturization and in the construction of low energy consumption circuits and the continuous progress in the field of information coupled with the high level of efficiency achieved by radio communication devices, increasingly affirm a new technological perspective: Sensor networks (WSN - Wireless sensor network). This technology arise from the fact that electronic devices are becoming smaller and more complex, and the tendency is to distribute intelligence into objects with relatively lower computing power but strongly related each other, instead of bring it together to a single expensive unit, cumbersome and hardly manageable; The birth of WSN is due to a basic idea which involves the use of a large number of nodes, allowing to perform reliefs and elaborations with greater precision and frequency than the single sensor case of use, capable of providing better performances at detriment of higher costs. All those premise is the logic from which the project starts, distributing analysis and reliefs among multiple fixed nodes (connected boards) that converge acquired data into defined points connected to data collections center for immediate use in order to be able to intervene in the event of any abnormal values. Mobile nodes consist essentially of:

  • Processor (CPU): usually represented by a microcontroller that performs all management functions, including translation of transducers electrical signals, actuator management and communication control

  • Memory: Represents a volatile memory block that acts as an aid to execution

  • Transducers: can be more than one, transform some physical dimension (oxygenation, air quality, temperature and noise levels) into an electrical signal

  • Actuators: they can be more than one and of a different kind (Leds, acoustic sonar etc ..)

  • Communication Unit: Allows inter-node communication

Network description

One of the primary features of this network type is the management of logical addressing and routing of packets. In a WSN, addressing can follow a particular technique, so the network is partitioned into node clusters and for each cluster it is assigned a unique address. In every cluster there is a coordinator that collects data from nodes and directs them to the collection center or possibly to the cluster group coordinator to which it belongs. In this way, the address space is safeguarded while retaining the possibility of referring to certain portions of the network. A typical application example is showed in the picture. Here, in fact, there is a practical application where clusters are grouped together in a large network. Red-circled knots act as coordinators for top-level clusters, while blue circled nodes act as coordinators for second-level clusters (the largest external ones) until they reach the data collection center. As for the routing algorithms, it was chosen a proactive typology: this type of algorithm is based on the fact that each node knows the routing information useful to reach each other node. Each network component must have a table that contains all the minimum paths for possible destinations. Of course, this information is updated when network reconfigurations occur, but can also be updated when a node fails (so exclude that node from the tables) or under intense network traffic conditions and possible congestion (perhaps finding alternative paths).

Aaeaaqaaaaaaaanfaaaajdy4yjc2nmewltg0mtatndgznc1iyte5lwnkyzvjyzqwywfkoq

Fabrizio L. added photos to project Shared Sensor Network for Vehicles and Smart Roads

Medium 3e254169 c6d2 4977 ac0d 21bd0be32b5d

Shared Sensor Network for Vehicles and Smart Roads

Idea

Create a large network with mobile sensor nodes installed inside vehicles connected to each other in order to detect, analyze and send data automatically and anonymously in data collection centers through check-points placed on smart roads.
The aim is to have as much data as possible on air quality, fine dusts, km driven by vehicles, and on which roads mainly; Data collection centers will be checkpoints on smart roads.
Smart roads connected with 5G technology allow vehicles to connect and send data, this idea will also allow to report data about vehicles that generally do not hit external roads (highways for example) and, therefore, remaining more in the city accumulate interesting amounts of routes citizen data.

Description

Continuous technological advances in miniaturization and in the construction of low energy consumption circuits and the continuous progress in the field of information coupled with the high level of efficiency achieved by radio communication devices, increasingly affirm a new technological perspective: Sensor networks (WSN - Wireless sensor network).
This technology arise from the fact that electronic devices are becoming smaller and more complex, and the tendency is to distribute intelligence into objects with relatively lower computing power but strongly related each other, instead of bring it together to a single expensive unit, cumbersome and hardly manageable; The birth of WSN is due to a basic idea which involves the use of a large number of nodes, allowing to perform reliefs and elaborations with greater precision and frequency than the single sensor case of use, capable of providing better performances at detriment of higher costs.
All those premise is the logic from which the project starts, distributing analysis and reliefs among multiple mobile nodes (related vehicles) that converge acquired data into defined checkpoints (points on the smart roads) connected to data collections center.
Mobile nodes consist essentially of:

- Processor (CPU): usually represented by a microcontroller that performs all management functions, including translation of transducers electrical signals, actuator management and communication control.

- Memory: Represents a volatile memory block that acts as an aid to execution.

- Transducers: can be more than one, transform some physical dimension (temperature, gps perpendicular paths, air quality, fine dust pad etc etc) into an electrical signal.

- Actuators: they can be more than one and of a different kind (Leds, acoustic sonar etc..).

- Communication Unit: Allows inter-node communication.

Network description

One of the primary features of this network type is the management of logical addressing and routing of packets.
In a WSN, addressing can follow a particular technique, so the network is partitioned into node clusters and for each cluster it is assigned a unique address.
In every cluster there is a coordinator that collects data from nodes and directs them to the collection center or possibly to the cluster group coordinator to which it belongs.
In this way, the address space is safeguarded while retaining the possibility of referring to certain portions of the network. A typical application example is showed in the picture (down-below).
Here, in fact, there is a practical application where clusters are grouped together in a large network. Red-circled knots act as coordinators for top-level clusters, while blue circled nodes act as coordinators for second-level clusters (the largest external ones) until they reach the data collection center.
As for the routing algorithms, it was chosen a hybrid typology, that is an algorithm that allows to interface, create nodes whenever encounters a mobile node and to communicate and understand if that node will reach first the data collection center.

Aaeaaqaaaaaaaanfaaaajdy4yjc2nmewltg0mtatndgznc1iyte5lwnkyzvjyzqwywfkoq

Fabrizio L. added photos to project Shared Sensor Network for Vehicles and Smart Roads

Medium 068cd49d bfc1 4abd bb1b 758120777361

Shared Sensor Network for Vehicles and Smart Roads

Idea

Create a large network with mobile sensor nodes installed inside vehicles connected to each other in order to detect, analyze and send data automatically and anonymously in data collection centers through check-points placed on smart roads.
The aim is to have as much data as possible on air quality, fine dusts, km driven by vehicles, and on which roads mainly; Data collection centers will be checkpoints on smart roads.
Smart roads connected with 5G technology allow vehicles to connect and send data, this idea will also allow to report data about vehicles that generally do not hit external roads (highways for example) and, therefore, remaining more in the city accumulate interesting amounts of routes citizen data.

Description

Continuous technological advances in miniaturization and in the construction of low energy consumption circuits and the continuous progress in the field of information coupled with the high level of efficiency achieved by radio communication devices, increasingly affirm a new technological perspective: Sensor networks (WSN - Wireless sensor network).
This technology arise from the fact that electronic devices are becoming smaller and more complex, and the tendency is to distribute intelligence into objects with relatively lower computing power but strongly related each other, instead of bring it together to a single expensive unit, cumbersome and hardly manageable; The birth of WSN is due to a basic idea which involves the use of a large number of nodes, allowing to perform reliefs and elaborations with greater precision and frequency than the single sensor case of use, capable of providing better performances at detriment of higher costs.
All those premise is the logic from which the project starts, distributing analysis and reliefs among multiple mobile nodes (related vehicles) that converge acquired data into defined checkpoints (points on the smart roads) connected to data collections center.
Mobile nodes consist essentially of:

- Processor (CPU): usually represented by a microcontroller that performs all management functions, including translation of transducers electrical signals, actuator management and communication control.

- Memory: Represents a volatile memory block that acts as an aid to execution.

- Transducers: can be more than one, transform some physical dimension (temperature, gps perpendicular paths, air quality, fine dust pad etc etc) into an electrical signal.

- Actuators: they can be more than one and of a different kind (Leds, acoustic sonar etc..).

- Communication Unit: Allows inter-node communication.

Network description

One of the primary features of this network type is the management of logical addressing and routing of packets.
In a WSN, addressing can follow a particular technique, so the network is partitioned into node clusters and for each cluster it is assigned a unique address.
In every cluster there is a coordinator that collects data from nodes and directs them to the collection center or possibly to the cluster group coordinator to which it belongs.
In this way, the address space is safeguarded while retaining the possibility of referring to certain portions of the network. A typical application example is showed in the picture (down-below).
Here, in fact, there is a practical application where clusters are grouped together in a large network. Red-circled knots act as coordinators for top-level clusters, while blue circled nodes act as coordinators for second-level clusters (the largest external ones) until they reach the data collection center.
As for the routing algorithms, it was chosen a hybrid typology, that is an algorithm that allows to interface, create nodes whenever encounters a mobile node and to communicate and understand if that node will reach first the data collection center.

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About

I'm one of the founders at 012Factory a business center based in Caserta (southern Italy) beyond this, in particular, two things that makes me proud is my personal brand Lapiello Solutions an innovative ideas and projects container and, be recognized such as Software Innovator.

My passion and my mission is to make people life better. I work every day for making and creating device, tools and solutions to solve common problem people have and that arise from the community I live in, and, to help - today with more focus - small companies to reduce errors and risk through innovative tools and ICT Solutions.

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