Deterministic clustering based compressive sensing scheme for fog-supported heterogeneous wireless sensor networks.

ABSTRACT: Data acquisition problem in large-scale distributed Wireless Sensor Networks (WSNs) is one of the main issues that hinder the evolution of Internet of Things (IoT) technology. Recently, combination of Compressive Sensing (CS) and routing protocols has attracted much attention. An open question in this approach is how to integrate these techniques effectively for specific tasks. In this paper, we introduce an effective deterministic clustering based CS scheme (DCCS) for fog-supported heterogeneous WSNs to handle the data acquisition problem. DCCS employs the concept of fog computing, reduces total overhead and computational cost needed to self-organize sensor network by using a simple approach, and then uses CS at each sensor node to minimize the overall energy expenditure and prolong the I

SUBMITTER: Osamy W 

PROVIDER: S-EPMC8049130 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature