“ARM based Environmental Monitoring System For IOT Applications”

Abstract

The Internet of Things (IoT) provides a virtual view, via the Internet Protocol, to a huge variety of real life objects, ranging from a car, to a teacup, to a building, to trees in a forest. Wireless sensor networks (WSN) are well suited for long-term environmental data acquisition for IoT representation. SNN platform that can be used for a range of long-term environmental monitoring IoT applications. The application requirements for low cost, high number of sensors, fast deployment, long lifetime, low maintenance, and high quality of service are considered in the specification and design of the platform and of all itscomponents.Research on wireless sensor network for IOT applications has recently made significant progress and is attracting growing attention in a number of disciplines and application domains. GPS is being increasingly used also for automated continuous monitoring of landslides and avalanches. For such GPS-based deformation monitoring systems, the accuracy, availability, reliability and integrity of the positioning solutions heavily depend on the number and geometric distribution of satellites being tracked. It is composed of a series of sensors, of easy and rapid installation, which can be positioned directly upon the landslide body, or in the immediate surroundings, to provide continuous data on the landslide activity. This paper presents the functional design and implementation of a complete WSN platform that can be used for a range of long-term environmental monitoring IoT applications.