Replication based Crowd Sensing for Optimal Service Response in 5G Communications using Information-Centric Wireless Sensor Networks

In this article, replication-based crowdsensing for optimal service response (RC-OSR) is introduced for improving the resource utilization efficiency of 5G and beyond user equipment (UEs). This method is intended to optimize the data aggregation and sharing features in the radio access network (RAN) environment. Data aggregation from different service providers is performed using an aggregation strategy that replicates resources to satisfy UEs' service requirements. Secondly, state-based data sharing is presented for improving the service response of end-users. This state-based modeling helps to assign resources in response to the varying request rate and device density. The former method is used to improve radio resource utilization and to reduce offloading traffic rates. The later process successfully reduces access complexity, response latency, and leveraging the rate of resource allocation. Information-Centric Wireless Sensor Networks (ICWSNs) is a method to develop the Internet infrastructure to directly provision data-centric and location independent communications by presenting a core Internet standard. Both data aggregation and data sharing are jointly optimized in RC-OSR in a heterogeneous 5G communication platform.