Novel node deployment scheme and reliability quantitative analysis for an IoT-based monitoring system

Abstract

The Internet of things (IoT) is highly suitable for military, environmental, agricultural, and other remotereal-time monitoring applications. A reliable topology ensures a stable and dependable monitoring system. Consideringthe research of an IoT-based air pollution monitoring system for industrial emissions as background, this study proposesa novel dual redundant node deployment scheme. Specifically, hexagonal clustering is proposed for the internal regions.In addition, relationship and quantification formulas for a monitoring area are presented, and the communication range,total number of layers of the topology, and number of cluster headers are determined. Interruptions in a monitoringsystem may reduce the quality of IoT services. Therefore, sensor nodes are also deployed around the monitoring area(in outer regions). The basic external area is modeled and proposed as a rectangular, 1-covered isosceles triangledeployment plan with the objective of minimizing the number of sensor nodes. A quantitative formula is given using thesensing radius, width of the rectangle, and adjacent distance between nodes. Reliability is a critical index in IoT-basedapplications. Thus, the reliability of a hexagonal clustering topology is presented using reliability block diagrams. For areliable remote transmission model, different redundant systems are implemented. Furthermore, the reliability value andmean time to failures are calculated. The results are later compared and analyzed quantitatively. This study presentsimportant theoretical and application-based knowledge that can guarantee reliable service for an IoT-based monitoringsystem.