Sub-system model for data collection and distributed sensing search technique for Internet of Things applications

Abstract

The Internet of Things (IoT) is spanning into the most diverse, widespread and pervasive global network of all. In IoT applications, enormous amounts of heterogeneous and unstructured data are continuously generated on an unprecedented scale. The data sensed is sent across the network which increases the network traffic. Retrieving the data in an efficient and economical way is also a challenge. The paper proposes clustered-tier architecture, where sensors are clustered based on their geographical area and controlled by a secondary controller. The sensors can communicate only to the secondary controller while the secondary controllers are connected to the sink. There is assumed to be no sensor-sensor communication. Dynamic relocation of sensors is also addressed. For an environmental monitoring system, the proposed system reduces the network traffic on an average by 58% compared to existing distributive sensing search techniques for IoT.