A Standard-Based Internet of Things Platform and Data Flow Modeling for Smart Environmental Monitoring

Abstract

The environment consists of the interaction between the physical, biotic, and anthropic means. As this interaction is dynamic, environmental characteristics tend to change naturally over time, requiring continuous monitoring. In this scenario, the internet of things (IoT), together with traditional sensor networks, allows for the monitoring of various environmental aspects such as air, water, atmospheric, and soil conditions, and sending data to different users and remote applications. This paper proposes a Standard-based Internet of Things Platform and Data Flow Modeling for Smart Environmental Monitoring. The platform consists of an IoT network based on the IEEE 1451 standard which has the network capable application processor (NCAP) node (coordinator) and multiple wireless transducers interface module (WTIM) nodes. A WTIM node consists of one or more transducers, a data transfer interface and a processing unit. Thus, with the developed network, it is possible to collect environmental data at different points within a city landscape, to perform analysis of the communication distance between the WTIM nodes, and monitor the number of bytes transferred according to each network node. In addition, a dynamic model of data flow is proposed where the performance of the NCAP and WTIM nodes are described through state variables, relating directly to the information exchange dynamics between the communicating nodes in the mesh network. The modeling results showed stability in the network. Such stability means that the network has capacity of preserve its flow of information, for a long period of time, without loss frames or packets due to congestion.

Residential Environment Pollution Monitoring System Based on Cloud Computing and Internet of Things

“…Lu et al believed that, from the 1980s to the early 21 st century, the integration of multiple technologies was gradually regarded as the mainstream scheme to realize environment pollution monitoring for the environment monitoring systems of various countries [ 16 ]. At present, in terms of environment pollution monitoring, the developed countries adopted the technical integration of “3S” technology with a series of emerging technologies such as big data and artificial intelligence, so as to achieve intelligent, accurate, and comprehensive development of environment pollution problems, providing strong technical support for environment assessment, environment prediction, and decision-making [ 17 ]. On the basis of the current researches, the intelligent community environment pollution monitoring and alarm system was designed and realized.…”