Social Internet of Things

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IoT Network Dataset


From this site, you can download the datasets used in our papers to construct the SIoT Network, which are based on real IoT objects available in the city of Santander and categorized following the typologies and data model for objects introduced in the FIWARE Data Models.



Downloads



  • - Objects description: link;

  • - Objects profiles: link;

  • - Services and applications description: link;

  • - Private devices (static and mobile): link;

  • - Public devices (static and mobile): link;

  • - Adjacency matrix for each relationship and completely SIoT network: link.



Objects description


The total number of objects comprehends a total of 16216 devices, of which 14600 from private users and 1616 from public services. Every object is described in the following form:

id_deviceid_userdevice_typedevice_branddevice_model

where:

id_device: device ID;
id_user: owner ID of the device (we indicate the municipality with 0);
device_type: category associated (code) to the device; device_type codes are explained in the public and private devices’ sections;
device_brand: brand of device, ranging from 1 to 12;
device_model: model of device, ranging from 1 to 24.



Objects profile


For each object category (device_type), the profile defines the set of possible services offered by each category as well as the possible applications that each object category is interested in, i.e. the possible set of applications an object could request. Objects’ profiles are described in the following form:

device_typeid_off_serviceid_req_application

where:

device_type: category associated (code) to the device;
id_off_service: list of offered service ID (from 1 to 18);
id_req_application: list of application ID (from 1 to 28).

The file “Services and Applications description” shows and describes a possible set of services and applications (with their respective ID) which are available in our Smart City scenario.



Private devices


Each user owns a certain number of devices, based on the ownership report of the Global Web Index 2017 calculated over 50000 users. The following table shows the devices used in the network and the probability that a user possesses each device.

DeviceMobilityOwnership (%)Device_type
SmartphoneMobile911
CarMobile552
TabletMobile403
Smart FitnessMobile224
SmartwatchMobile55
PcStatic846
PrinterStatic537
Home SensorsStatic158

Mobile devices are carried with the users during their movements, while static objects are left in the users’ home. The number of private devices is 14600.

To simulate the users’ movements, we rely on the mobility model called Small World in Motion (SWIM); the parameters used for this simulation are shown in the following table:

Number of users4000
User perception radius0.015
Simulation time10 days
α0.9


Since SWIM only considers a unitary square as the area of interest, all the objects’ positions are scaled down to this area.
Santander mapThe file private_static_devices describes the static objects using the following form:

id_devicex  y

where:


id_device:device ID;
x:x coordinated of the device;
y:y coordinated of the device.

Each user (and his/her devices) alternates movement states and rest states. The file private_mobile_devices describes the information about mobile objects and the coordinates of the user during the rest state, using the following form:

timestamp_starttimestamp_stopid_userx  y

where:

timestamp_start:timestamp of the beginning of the rest state;
timestamp_stop:timestamp of the end of the rest state;
id_user:user ID;
x:x coordinated of the device;
y:y coordinated of the device.


Naturally, mobile objects, of the same owner, have the same position of the user.

Public devices


The following table shows the public devices available in the city of Santander.

Data ModelDescriptionDevice_type
Point of InterestSpecific point location that a user may find useful or interesting.9
Environment and WeatherObject responsible of the environmental and weather monitoring.10
TransportationVehicles, taxis or buses.11
IndicatorDigital signage to display information.12
Garbage TruckCollection and transport of waste products.13
Street LightStreet lamp to illuminate roads in the city.14
ParkingLocation designed for parking.15
AlarmsSecurity supervisor or traffic monitoring.16


These devices, which are all statics with the exception of the categories Transportation and Garbage Trucks.

The file public_static_devices describes the static objects using the following form:

id_device:device ID;
x:x coordinated of the device;
y:y coordinated of the device.

Each user (and his/her devices) alternates movement states and rest states. The file private_mobile_devices describes the information about mobile objects and the coordinates of the user during the rest state, using the following form:

timestamp_starttimestamp_stopid_userx  y

where:

timestamp_start:timestamp of the beginning of the rest state;
timestamp_stop:timestamp of the end of the rest state;
id_device:device ID;
x:x coordinated of the device;
y:y coordinated of the device.



Adjacency Matrices



According to notions of Social Internet of Things (SIoT), nodes establish social links and create social networks. We propose for each relationship and for SIoT network the adjacency matrix produced with our parameters. As follow, we depict relationships and their parameters:


  • OOR (Ownership Object Relationship): type of relationship defined for objects owned by the same user. About public static devices, objects will create a relation only if they are in the communication range of each other. We use three different technologies: LoRa (around 1500 meters), Wi-Fi (around 400 meters) and Bluetooth (around 40 meters). Public mobile objects don’t create this type of relation.

  • POR (Parental Object Relationship): relation created among objects in the same type, model and brand, only if their distance is greater than a two threshold: 2 or 2.5 km.

  • C-LOR (Co-Location Object Relationship): if static devices (public or private) and private mobile take contact more than 13 times (number of meetings), can create a co-location relation.

  • SOR (Social Object Relationship): this relationship is based on three parameters, that are the number of meetings (N = 3), the meeting duration (TM = 30 minutes) and the interval between two consecutive meetings (TI = 6 hours). The relation is created between private mobile devices.

  • SOR2 (Social Object Relationship): a variant of the SOR called SOR2 is created to connect the public mobile devices. In particular the relation is between public mobile devices and users’ mobile objects. The parameters, as in the SOR, is set as follow: N = 3, TM = 1 minute and TI = 1 hour.

  • SIoT: completely SIoT network is created with the combination of all relationships (all relations with an operation of disjunction OR).




Contacts


For questions please write to:


Luigi Atzori

Luigi Atzori


Email: l.atzori@diee.unica.it

WebSite: link

Michele Nitti

Michele Nitti


Email: michele.nitti@diee.unica.it

WebSite: link

Claudio Marche

Claudio Marche


Email: claudio.marche@outlook.it

WebSite: link