Neighbor discovery algorithms for friendship establishment in the social Internet of Things

A Comprehensive Survey on Security, Trust Management and Privacy Preservation for Social-Internet-of-Things (S-IoT)

“…The heuristic approach for friendship links are given in Ramasamy and Arjunasamy (2017) suggested some strategies overcome limitation of heuristic approach. Girau et al (2016) have proposed three algorithms for network discovery; specifically, the first algorithm relies on channel scanning to discover neighbours, the second algorithm relies on device localization to discover these neighbours and third algorithm expands the existing network with new lines. In S-IoT, objects establish object socialization that enables inter-object communication.…”

A Deep Learning and Social IoT Approach for Plants Disease Prediction Toward a Sustainable Agriculture

“…The user's smartphone is brought into the garden where the socialization algorithms exploit closeness detection to establish the relationships between the SM SVO and the GS SVOs of the nearby sensors. The mac addresses of the access points are generally used as a point of reference [32], [33]. In a similar way, once installed in the garden, the sensors' SVOs create a CLOR-type relationship since they are fixed devices in the same place.…”

How to exploit the Social Internet of Things: Query Generation Model and Device Profiles’ Dataset

“…The simu- The simulator requires some additional parameters. The user perception radius, set to 0.015, indicates the distance within which a user, or in our case a device, can see all other users/devices; this parameter is set according to the communication range of a Wi-Fi connection [38] specifically scaled considering that the simulation area of SWIM is a unitary square. The parameter α, which can have values in the range [0; 1], is used to determine whether the users prefer to visit popular sites (smaller values) rather than nearby ones (bigger values).…”