Smart City Gnosys
Smart city article details
| Title | An Urban-Driven Service Request Management Model |
|---|---|
| ID_Doc | 9009 |
| Authors | Cabrera C.; Palade A.; White G.; Clarke S. |
| Year | 2020 |
| Published | 18th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2020 |
| DOI | http://dx.doi.org/10.1109/PerCom45495.2020.9127371 |
| Abstract | Pervasive applications in smart cities rely on a large number of IoT devices, which are deployed in large geographic areas. Smart cities can manage these devices using Service-Oriented Architectures (e.g., micro-services) by encapsulating devices capabilities as IoT services. Distributed service discovery architectures reduce search spaces and perform discovery processes closer to consumers on edge devices. However, request management, a key task in distributed service discovery, is still challenging because requests must be forwarded through large networks where nodes have partial knowledge about other participants. Previous research has shown that social-based and bio-inspired methods can be used to manage requests in small-scale environments, but such approaches do not scale to large environments. This paper adds urban context to a social-based and bio-inspired mechanism to forward requests where they are most likely to be solved. Results show that our model has the best rate of solved requests, and intermediate latency. © 2020 IEEE. |
| Author Keywords | Bio-inspired; Context-aware; Internet of Things; Service Discovery; Smart Cities; Social-based |
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