Abstract:
The Internet of Things (IoT) will interconnect billions of devices (denoted as “Smart Objects,” SOs) in an IP-based Internet-like structure. SOs are typically sensor/actu...Show MoreMetadata
Abstract:
The Internet of Things (IoT) will interconnect billions of devices (denoted as “Smart Objects,” SOs) in an IP-based Internet-like structure. SOs are typically sensor/actuator-equipped devices with severe constraints on processing capabilities, available RAM/ROM, and energy consumption. In a context where billions of deployed SOs, it is important that the SOs are able to self-configure and adapt to the surrounding environment with minimal, if any, external human intervention. Among the service discovery mechanisms proposed in literature for deploying SOs without any prior knowledge, Zeroconf represents a good candidate to automate service and resource discovery in local constrained environments. In this paper, we propose a lightweight forwarding algorithm for efficient multicast support in Low-power and Lossy Networks (LLNs) targeting service discovery for duty-cycled SOs. Among the advantages achieved by the proposed solution, SOs might benefit from smaller memory footprint with respect to those required by other multicast implementations. The performance of the proposed forwarding algorithm is evaluated through Contiki-based nodes in the Cooja simulator.
Published in: 2014 22nd International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
Date of Conference: 17-19 September 2014
Date Added to IEEE Xplore: 12 February 2015
Electronic ISBN:978-9-5329-0052-1