Optimal placement algorithm (OPA) for IoT over ICN

Abstract

Information Centric Networks (ICN) is very promising for Internet of Things (IoT) deployment, where the data-centric approach is useful in reducing the data retrieval latency as well as the network traffic for IoT services. Also, the innetwork caching capabilities in ICN limits the massive data access to the data producers and so relaxes the need of continuous connectivity E2E connectivity between data producers and data consumers (this helps power efficiency as IoT devices can enter in sleep mode when they are not transmitting data). In this paper, we present an ICN-IoT architecture in which ICN nodes provide IoT gateways capabilities and ICN caching functions. Optimal Placement Algorithm (OPA) is proposed to choose the optimal placement location for ICN nodes. We evaluated OPA with respect to several performance metrics and the obtained results show improvement in services consumption latency and network load. Furthermore, we propose a caching strategy that shows to stabilize the network load despite any increase in the number of consumer interests.