Chain‐routing scheme with compressive sensing‐based data acquisition for Internet of Things‐based wireless sensor networks

The emerging Internet of Things (IoT)-based systems that integrate diverse types sensors, mobiles and other technologies to physical world is becoming increasingly popular for use in wide varieties applications. Compressive sensing (CS)-based information acquisition in-network compression provide an effective method accurate data recovery at the base station (BS) with reduced cost communication. In this study, how CS can be combined routing protocols gathering IoT-based Wireless Sensor Networks (WSNs) energy-efficient manner are examined. A novel chain-routing scheme based introduced includes following new algorithms: (1) Seed Estimation Algorithm (SEA) find best measurement matrix by selecting best-estimated seed, (2) Chain Construction (CCA) organise network nodes during transmitting receiving process, (3) Compression approach consumption energy improves lifetime minimising local traffic, (4) Reconstruction (RA) reconstructs original minimum reconstruction error. Here, extensive simulation analysis results prove performance our proposed improving 35% better than ECST algorithm 93% PEGASIS algorithm. addition, exceeds algorithms performance.