Cloud based sensor network for environmental monitoring

This paper describes a complete infrastructure for environmental monitoring, which is based on a cloud architecture. The proposed system employs small button-like battery-operated sensors, which connect through a wireless link to small receivers capable of routing data to the cloud system. Cloud data can be accessed in real time through smart-phones and downloaded for further analyses. Each button-like sensor is capable of measuring temperature and humidity for more than one year without attendance. All data are sent to the receiver and in addition stored inside the button memory so that the system can work also in the absence of power and Internet connection. The architecture takes advantage of the μPanel environment, which is conceived to work also with unreliable and slow Internet connections and permits to implement a cloud-based infrastructure with the capability to control the sensors locally and in absence of Internet connectivity. The proposed architecture is currently used in different museums to monitor the local environment inside the display rooms, but the system can be easily extended to open environments without additional costs

Research on the Architecture and its Implementation for Instrumentation and Measurement Cloud

Cloud computing has brought a new method of resource utilization and management. Nowadays some researchers are working on cloud-based instrumentation and measurement systems designated as Instrumentation and Measurement Clouds (IMCs). However, until now, no standard definition or detailed architecture with an implemented system for IMC has been presented. This paper adopts the philosophy of cloud computing and brings forward a relatively standard definition and a novel architecture for IMC. The architecture inherits many key features of cloud computing, such as service provision on demand, scalability and so on, for remote Instrumentation and Measurement (IM) resource utilization and management. In the architecture, instruments and sensors are virtualized into abstracted resources, and commonly used IM functions are wrapped into services. Users can use these resources and services on demand remotely. Platforms implemented under such architecture can reduce the investment for building IM systems greatly, enable remote sharing of IM resources, increase utilization efficiency of various resources, and facilitate processing and analyzing of Big Data from instruments and sensors. Practical systems with a typical application are implemented upon the architecture. Results demonstrate that the novel IMC architecture can provide a new effective and efficient framework for establishing IM systems

Joint Source-Channel Coding for Semantics-Aware Grant-Free Radio Access in IoT Fog Networks

A fog-radio access network (F-RAN) architecture is studied for an Internet-of-Things (IoT) system in which wireless sensors monitor a number of multi-valued events and transmit in the uplink using grant-free random access to multiple edge nodes (ENs). Each EN is connected to a central processor (CP) via a finite-capacity fronthaul link. In contrast to conventional information-agnostic protocols based on separate source-channel (SSC) coding, where each device uses a separate codebook, this paper considers an information-centric approach based on joint source-channel (JSC) coding via a non-orthogonal generalization of type-based multiple access (TBMA). By leveraging the semantics of the observed signals, all sensors measuring the same event share the same codebook (with non-orthogonal codewords), and all such sensors making the same local estimate of the event transmit the same codeword. The F-RAN architecture directly detects the events values without first performing individual decoding for each device. Cloud and edge detection schemes based on Bayesian message passing are designed and trade-offs between cloud and edge processing are assessed.Comment: submitted for publicatio

Smart Home System

This project involves the design and implementation of a Smart Home system using IoT solutions. Three types of sensors, namely an occupancy sensor, a light sensor and a temperature sensor, along with a security camera are used and incorporated with a microcontroller in a master/slave architecture via Zigbee, a short-range network communication. The data collected from these sensors is transmitted to a cloud-based platform through Wi-Fi for analyzing and downloading to personal smartphones via a designated user interface. The entire system can be controlled both by users’ smartphones and by personal computers

Cloud Services for an Android Based Home Security System

This report talks in detail about an android based application designed for a home security system. The home security system is a tablet device developed using the android framework. The home security system makes use of sensors and a central device to secure an area. Currently the devices are standalone and require the users to be physically present to operate the devices with no interaction possible between two different devices. The system is also limited by its computational resources and storage capacity. For this project, I have developed a cloud based client server architecture to address these limitations and also to provide security and sharing functionalities along with remote diagnostics. This project has a device level framework to communicate with and exchange information with a cloud server. The project also addresses the primary limitations of cloud computing namely security, privacy and user control