Wireless Sensors Essay

Keywords- Block diagram, Sensors, LIDAR, RADAR, Models of autonomous car, Advantages and Disadvantages, Future developments.

Wireless networking or atleast the networks in which we operate normally refers to wireless sensor networks which is an innovative and are within the broad spectrum of whites networks that are specifically designed to measure a small amounts of data and that data is related to sensor data. The little pieces of information like temperature sensors or open/close sensor are extremely valuable information as it provides insights into defense that might happen in their business processes. There are many wireless network, but the question arises is where do these wireless sensor network fit among the different wireless network.

After analyzing all the IoT-enabling technologies, e.g. Ultra High Frequency (UHF) Radio Frequency Identification (RFID), and Wireless Sensor Network (WSN). We came to a conclusion that RFID and WSN are the best available technologies for the development of a smart parking system. RFID holds major advantages over others as it is low-cost, consumes low-power, and consist of passive devices called tags. These tags enables the user to transmit data when power is supplied to them via electromagnetic field generated by a reader. They usually have a long life span which makes them a strong contender for the development of a variety of useful applications. But RFID also have its limitations, due to their reduced operating range (i.e. Up to 10 m) we cannot use it for object identification and tracking within quite

Abstract. Wireless Sensor Networks (WSNs) have been attracting increasing interest for supporting a new generation of ubiquitous computing systems with great potential for many applications such as surveillance, environmental monitoring, health care monitoring or home automation. However, the communication paradigms in WSNs differ from the ones associated to traditional wireless networks, triggering the need for new

The major application for automotive MEMS is for sensing when to deploy airbags. In this market MEMS sensors are replacing sensors such as fiber optic gyroscopes and ring-laser gyroscopes. Additional applications are in electronics stability control, tire pressure measurement and, going forward, using the sensor to track location while in a structure such as a parking garage where a GPS signal cannot reach.

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 minimized 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 servers for data processing and management. The result of the proposed method improves the performance of HRW in terms of the cost of arrangement, transmission suspends, capability and tags capacity requirement.

This paper is also proposed a frame work for the simulation of the wireless sensor networks and the applications of WSN are that proposed an algorithm. The applications of wireless sensor networks is spreading rapidly form the last ten years in many areas like mostly in the areas called militaries, defence, large buildings, industries, and in many commercial buildings. Due to the advancement in wireless sensor networks the sensors with low power and the modules equipped with radio devices is now replaced with the wired sensors. These small modules (tiny) can be known as motes will collect all the information from the environment by using the motes and is also working like neurons.

Natural disasters have become very critical due to several reasons like global warming. Wireless sensor networks are used for detecting the natural events by measuring the temperature, air pressure, vibration, etc. and generate alarms. WSNs can measure the agitation of buildings, CO2 levels, and weather monitoring, etc. (Yawut & Kilaso, 2011).

The WSNs are mostly utilized in applications which are data intensive like agriculture precision, video or audio surveillance etc. The main problem that the data- intensive wireless networks facing is transmitting all generated data to the base station and the fact is that nodes will

The nodes which consist of sensors like temperature sensor, smoke sensor and soil moisture sensor measure the ambient temperature and compare it with a set of threshold values. If the measured values are higher than the threshold values, the nodes will trigger an alert signal. The alert signal will consist of the

Sensor node is made up of four basic components: a sensing unit, a processing unit, a transmission unit and a power unit. Sensing unit collects information using sensor and analog to digital converters (ADC). ADC converts the analog signals produced by the sensor to the

A mobile wireless sensor network, shortly WMSN, can be defined as a wireless network of a sensor nodes that are mobile. Motivation behind a mobile wireless sensor network is to capture real world data and convert them so it can be transferred, processed, stored and later studied or analyzed (Guo, 2014). The MWSN is usually a combination of two or more technologies such as mobility, wireless connectivity and the ability to gather local information. The mobile wireless sensor network is usually deployment of a large number of small, inexpensive, self-powered nodes and receiving station (Kumbhare, Rangaree, & Asutkar, 2016). These MWSN can be effectively used for civil and military purposes.

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

This project proposes to design, optimize, and fabricate autonomous wearable energy harvesting sensors for confined space atmospheric gas monitoring. The proposed device will contain multiple sensors with active battery charging through energy harvesting. A multi-level research framework has been developed to encompass various analytical, computational, and experimental tools. In early stages of the project, the design and characterization of event-based sensor architecture for low-power miniature sensors will be performed. Next, the deployment of distributed sensor networks for detecting oxygen and multi-atmospheric gases and the integration of the proposed sensor network with energy harvesting systems will be investigated. The

A Wireless Sensor Network (WSN) is comprised of multiple tiny devices called nodes or motes. These are distributed spatially in an environment to monitor sense and compute data wirelessly. The role of a sensor node is to evaluate different tasks. First, a node has to sense physical conditions and exchange the information with other nodes after computation. Second, it plays the important role of being a relay for different sensor nodes [1],[2],[3],[4]. These nodes can mount anywhere in the environment [2]. With recent advancements in the field of electronics these devices are becoming cheaper and smaller and are being employed in both indoor and outdoor environments. Applications include agricultural monitoring, household and military surveillance, industrial automation and robotics, and healthcare [3]. A sensor node, shown in Figure.1 is a low power device and consists of five different components namely [5], [12]