| Summary: | Geo-distributed and heterogeneous Internet of Things (IoT) devices can generate huge amount of data. Inefficient management of IoT-data promotes network congestion and increases computational overhead on the data-processing entities. Traditional networking architecture, that is lack of functional abstraction and monitoring capabilities, often fails to meet the dynamics of IoT. Software Define Network (SDN) can be a viable alternative of the traditional networking architecture while dealing with IoT. In SDN, management, monitoring and context sensing of the connected componen ts are sim plifie and can be customized. In this paper, SDN-sensed contextual inf orma tion of different components (computational entities, network, IoT devices) are combined together to facilitate scalable resource discovery in IoT. The proposed policy targets balanced processing and congestion-less forwarding of IoT-da ta. Through sim ula tion studies, it has been demonstrated that the SDN-based resource discov ery in IoT outperf orms the traditional networking based approaches in terms of resource discovery time and Quality of Service (QoS) satisfaction rate.
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