In recent years Identifier/Locator Splitting (ILS) has been proposed as a promising future Internet solution to the so-called “semantic overload of addresses” problem. It is currently under debate whether the ILS approach, which entails identifier-to-locator resolution procedures, could ensure scalability, session continuity and mobility across heterogeneous multi-access networks as demanded by Internet of Things (IoT). In this paper, it is proposed to exploit the Social Internet of Things (SIoT) concept to address the above issues. More specifically, a scheme is introduced that browses the social graph of devices to find information about the locator of the intended destination. Results show that the proposed solution outperforms the alternative ILS approaches in terms of number of hops and latency incurred to accomplish the resolution procedure, at the cost of a slight increase in the storage demands to track social relationships.

Enhancing identifier/locator splitting through social internet of things

Atzori, L.;Girau, R.;Iera, A.;MORABITO, GERMANA;
2019-01-01

Abstract

In recent years Identifier/Locator Splitting (ILS) has been proposed as a promising future Internet solution to the so-called “semantic overload of addresses” problem. It is currently under debate whether the ILS approach, which entails identifier-to-locator resolution procedures, could ensure scalability, session continuity and mobility across heterogeneous multi-access networks as demanded by Internet of Things (IoT). In this paper, it is proposed to exploit the Social Internet of Things (SIoT) concept to address the above issues. More specifically, a scheme is introduced that browses the social graph of devices to find information about the locator of the intended destination. Results show that the proposed solution outperforms the alternative ILS approaches in terms of number of hops and latency incurred to accomplish the resolution procedure, at the cost of a slight increase in the storage demands to track social relationships.
2019
Future Internet; Identifier locator splitting; Internet of Things; Internet of Things; IP networks; ITU; Performance evaluation; Routing; Social Internet of Things.; Social network services; Signal Processing; Information Systems; Hardware and Architecture; Computer Science Applications1707 Computer Vision and Pattern Recognition; Computer Networks and Communications
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/274177
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