Applications of Smart Dust

The camera was also used to capture photos of the coma at various angles which would provide information that would help scientists better understand the origin, the morphology, and the mineralogical inhomogeneities on the surface of the nucleus. The Comet and Interstellar Dust Analyzer (CIDA) is a mass spectrometer, a tool that ionizes chemical species and sorts the ions based on their mass-to-charge ratio, and provides real time detection and analysis of compounds and elements by allowing interstellar particles to enter the instrument which then hits a silver impact plate and down the tube to a detector. The detector analyzes the mass of the sample by measuring how long it took the ion to enter and travel through the CIDA. The Dust Flux Monitor Instrument or DFMI, is a tool located on the whipple shield (a hypervelocity impact shield that is located at the front of a spacecraft to protect it from micrometeoroids and orbital debris) that provides data regarding the flux and size distribution of particles in the environment around Comet Wild 2. The DFMI achieves this by producing electric pulses as a specialized polarized plastic sensor which is then struck by high energy particles. The Stardust Sample Collector (SSC) collected particles by using a aerogel; a synthetic, ultralight material that has extremely low density and low thermal conductivity, to capture dust grains as the spacecraft passed through the coma of Comet Wild 2. After the collection was

faced are the misusage of electricity and its wastage. Sometimes due to carelessness of the persons lamps or fans are left ON which results in wastage of electricity. The project helps to overcome all these problems. Microcontroller is used to supervise the actions of all other devices and to control the entire set of

The Internet of Things (IoT) is the interconnected network of sensors, machines, and devices via wireless transmission. The challenge with this concept is that it requires an abstract definition of a concrete process. Connecting devices together to enhance their potential and to increase proficiency is the theory behind the IoT. The data created, complied and used by sensors, machines and devices is the application of IoT. Pye’s article takes these concepts and further defines the impact on industrial and scientific applications.

The internet of things is changing a lot about the world we live in, from the way we drive to how we make purchases and even how we get energy for our homes. Sensors and chips are embedded in the physical things that surround us, each transmitting valuable data. Data that lets us better understand how these things work and work together. A world filled with devices that can detect changing conditions and react to that change quickly and efficiently is the internet of Things and will impact our lives more than ever before. Billions of

Wireless communication is the transfer of information over a distance without the use of enhanced electrical conductors or "wires”.

The Internet of Things (IoT) is a concept that was first talked about in 1982 when a Coke machine at Carnegie Mellon University was modified and connected to the internet, With the introduction of IPV6, there are now enough IP addresses to assign one to every atom on the surface of the planet. It is now possible to place sensors on a multitude of devices to provide real-time feedback and improve production, safety, or just comfort to humans.

The impossible measurements in typical ways have currently become attainable using the wireless technology. Wireless sensors are used in most of the in real time applications for collecting physical information. Wireless sensors are spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. and to cooperatively pass their data through the network to a main location. They are self-configured sensors to monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants and to cooperatively pass their data through the network to a main location or sink where the data can be observed and analyzed. A sink or base station acts like an interface between users and the network. The main objective of this paper is to introduce air pollution detection using internet of things and to report the status of the air quality whenever needed. This system is low

Wireless sensor networks are very important in everyday life. This new technology is exciting with unlimited potential for numerous application areas including environmental, medical, military, transportation, entertainment, emergency management and homeland defence. WSN are connected with nodes, in WSN communication takes place through air. The exploration subject that I have picked is on Wireless

The structural stability of MOS sensors have been maintained through the integration of material sensors, this will also improve the

Wireless communication is nowadays widely utilized in many high-performance devices and remote sensing systems, comprising radar sensors

In Wireless sensor networks, have used in several areas like surroundings, health, setting observance and industrial functions at the beginning for the military for various application. With the recent breakthrough of “Micro Electro Mechanical Systems (MEMS)” technology [2] whereby sensors became smaller and extra versatile

Due to the advancement in micro-electro-mechanical systems and microelectronics and correspondingly wide applications of wireless sensor networks, there has been given tremendous attentions by researchers in recent years. In result there is development of low-cost, low-power, multifunctional sensor nodes that are small in size and communicate untethered in short distances. These tiny sensor nodes, which consist of sensing, data processing, and communicating components, leverage the idea of sensor networks based on collaborative effort of a large number of nodes. Sensor nodes in such a network are often powered with onboard batteries with limited energy. It is impractical or infeasible to replenish energy via replacing batteries on these sensors in most applications. As a result, it is well perceived that a sensor network should be deployed with high density in order to prolong the network lifetime. A sensor network is composed of a large number of sensor nodes, which are densely deployed either inside the phenomenon or very close to it. The position of sensor nodes need not be engineered or pre-determined. This allows random deployment in inaccessible terrains or disaster relief operations. On the other hand, this also means that sensor network protocols and algorithms must possess self-organizing capabilities. Another unique feature of sensor networks is the cooperative effort of sensor nodes. Sensor nodes are fitted with an on-board processor. Instead of

This is an active area of IoT research and will be the primary focus of this project. If data can be effectively gathered, networked, and analyzed, then that data can then be used to impart real and significant change on the environment. For agricultural systems this will result in improved plant health, increased harvest yields, and decreased waste.

Abstract— Radio frequency identification (RFID) and Wireless sensor networks (WSNs) are two significant wireless technologies. RFID and WSNs are well known both identification and data transmission they are widely used in applications for environmental and health monitoring. Though the integration of RFID and WSNs fascinates little attention from the research community. In this paper, a Hybrid RFID and WSN system (HRW) that cooperatively integrates the traditional RFID and WSN systems for efficient data collection in large-scale mobile monitoring applications. HRW has hybrid smart nodes that combine the function of RFID tags, the reduced function of RFID readers, and wireless sensors. Hence, nodes can read each other’s sensed data in tags, and all data can be rapidly transmitted to an RFID reader through the node that first extends it. The RFID readers transmit the collected data to the back-end

A wireless sensor network (WSN) comprises of a large number of independently distributed sensor nodes in which sensors employed at each and every node. These sensors are used to monitor physical or environmental conditions, and can easily pass their data through the sensor network to the main site. Each sensor node consists of a sensing system for information acquisition, real-time data processing, a power supply unit, and wireless communicating modules, which is a basic system of a WSN. Each time the physical conditions vary according to the time and space, WSNs starts real-time data processing and sends the data.