Minimizing Content-Store Data Access Time Using Two-Tier Tree Architecture for NDN-Based WSNs

Abstract

A Wireless Sensor Network (WSN) comprises a large number of low consumption sensor nodes equipped with sensors, data processing and communication components. The parameters currently monitored are temperature, humidity, pressure, direction, wind speed, lighting intensity, vibration intensity, sound intensity, network voltage, chemical concentrations, contaminant levels, rare animals and vital body functions. The most important challenges associated with WSNs are improving their efficiency and network life. To improve efficiency in communication and transmission mechanisms, the Named-Data Networking (NDN) approach is applied in WSNs. NDN is considered as one of the most rigorous future Internet architecture. NDN focuses on providing content instead of host-centric approaches that focus on the location of the content. In this paper, we have proposed a new chunk-based Content-Store architecture for NDN-based WSNs to increase the efficiency of the individual node as well as the entire network. Our approach efficiently stores and retrieves Data packets with greater processing efficiency, which is one of the main problems in wireless sensor networks. © 2020 IEEE.