Motivation: the idea of cloud computing arrived. Cloud

Motivation:    In current technology based world data storageis a major fact. Exploring this fact the idea of cloud computing arrived. Cloudcomputing is the practice of using a network of remote servers hosted on theInternet to store, manage, and process data, rather than a local server or apersonal computer. And to transfer data more securely and wirelessly to cloudanother thing invented that is Internet of Things (IoT).It is a system ofinterrelated computing devices, mechanical and digital machines, objects, animalsor people that are provided with unique identifiers and the ability to transferdata over a network without requiring human-to-human or human-to-computerinteraction.IoT based car parking system is new phenomenon where a car is aIoT based device and storing information of that car will be done by cloudcomputing.

It is a very interesting and new idea which can provide optimalsolutions for finding available parking places, arranging parked cars properlyand providing special places for special types of cars etc. While scrutiny theminaugurate that some technologies can be more optimal. And in this paper we tryto demonstrate that idea. Introduction: The perception of Internet of Things (IoT) initiatedwith things with identity conveyance devices. The devices could be tracked,controlled or monitored using remote computers linked through Internet. IoT spreadthe use of Internet producing the communication, and thus inter-network of thedevices and physical objects, or ‘Things’. The two illustrious words in IoT are”internet” and “things”.

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Internet means a vast global network of connectedservers, computers, tablets and mobiles wielding the internationally usedprotocols and connecting systems. Internet accredits sending, receiving, orcommunicating of information. IoT, in general inheres of inter-network of thedevices and physical objects, number of objects can gather the data at remotelocations and communicate to units managing, acquiring, organizing andanalyzing the data in the processes and services. It dispense a vision wherethings (wearable, watch, alarm clock, home devices, surrounding objects with) turnsmart and act alive through sensing, computing and communicating by embedded tinydevices which interact with remote objects or persons through connectivity. Thescalable and robust nature of Cloud computing is allowing developers to manufactureand host their applications on it. Cloud acts as a perfect collaborator for IoTas it acts as a podium where all the sensor data can be stored and accessedfrom remote locations 1. These aspects provide rise to the amalgamation ofboth technologies thus escorting to the formation of a new technology calledCloud of Things (CoT). In CoT the things (nodes) could be accessed, monitoredand controlled from any remote location through the cloud.

Due to highscalability in cloud any number of nodes could be annexed or removed from theIoT system on a real time basis. In simple terms IoT can be described in formof an equation stating: Physical Object + Controller, Sensor and Actuators+ Internet = Internet of Things  The ideal of erecting a Smart City is now becomingachievable with the emergence of the Internet of Things.  One of the key issues that smart citiesrelate to car parking facilities. In present day cities discovering anavailable parking spot is always difficult for drivers, and it incline tobecome harder with ever increasing number of private car users. This situationcan be seen as an opportunity for smart cities to undertake actions in orderenhance the efficiency their parking resources thus leading to reduction insearching times, traffic congestion and road accidents. Recent advances increating low-cost, low-power embedded systems are helping developers to buildnew applications for Internet of Things. Followed by the developments in sensortechnology, many modern cities have opted for deploying various IoT basedsystems in and around the cities for the purpose of monitoring.

A recent surveyperformed by the International Parking Institute 2 reflects an increase innumber of innovative ideas related to parking systems. At present there arecertain parking systems 3 that claim to citizens of delivering real timeinformation about available parking spaces. Such systems require efficientsensors to be deployed in the parking areas for monitoring the occupancy aswell as quick data processing units in order to gain practical insights fromdata collected over various sources.  Literature Review:    Presently, the common method of finding aparking space is manual where the driver usually finds a space in the parkinglot through fluke and experience.

This process takes time and effort and maylead to the worst case of failing to find any park space if the driver isdriving in an area with high vehicle density. In the development of car parkingsystems, to lessen the cost of hiring people and for optimal use of resourcesfor car-park an intelligent parking system was created. In recent years,research has used vehicle-to-vehicle 4 and vehicle-to-infrastructure 5interaction with the support of various wireless network technologies such asradio frequency identification (RFID), Zigbee, wireless mess network 6, andthe Internet. However, it is unable to provide a long range optimal solution infinding an attainable parking space, does not unriddle the problem of loadbalancing, does not provide economic benefit, and does not plan forvehicle-refusal service.

 Tosolve the above problems, the Internet-of-Things technology (IoT) has created arevolution in umpteen fields in life as well as in smart-parking system (SPS)technology 7.This system constructs each car park as an IoT network, and thedata that include the vehicle GPS location, distance between car parking areasand number of free slots in car park areas will be transferred to the datacenter. The data center serves as a cloud server to calculate the costs of aparking request, and these costs are frequently updated and are accessible anytime by the vehicles in the network. In September 2009, the European Union (EU)certified an Internet of Things (IoT) Strategic Research Roadmap named CERP-IoT8, with the purpose of propagandizing the research projects and relatedresearch outcomes in the IoT area, especially the application of sensortechnology in IoT, such as Intelligent Transport Systems (ITS) 9, wearablesensing and computing, green buildings, smart homes, smart cities, etc. TheCERP-IoT report 8 predicted that the automotive industry will be using ‘smartthings’ to monitor everything. Especially when using wireless technology forvehicle-to-infrastructure (V2I) communication, the real-time locating systems(RTLS) can enable tracking and tracing services, which will significantlyadvance the ITS applications. The intelligent car parking systems, such as theone described in this paper, constitute an important part of the ITS with aprimary purpose to find, allocate, reserve, and provide the ‘best’ availablecar parking lot to each individual user who is driving a car in a particulararea. In10, a car-parking-lot detection method is proposed based on an automaticthreshold algorithm; as the image processing algorithms are expensive, a hardwaresolution is suggested.

In 11, sensors are used for intelligent autonomousparking. In 12, laser scanners are used to retrieve the car-parking-lot position.Atthe communication layer, an Info Station-based multi-agent system facilitatinga car parking locator service is proposed in 13; users are provided with apersonalized service based on their location and mobile device’s capabilities.In 14, a wireless sensor network solution is proposed for car parkingmanagement along with a routing protocol for improving the transportreliability.

                           Figure 1: Layer Approach for  Smart Parking System. Atthe application layer, research efforts are usually focused on one particularaspect. For instance, with respect to car routing, a route planning for ITS isproposed in 15 for reducing the number of accidents. As regards reducing thedriver’s waiting time, a corresponding access control system is proposed in 16.With regard to the driver’s behavior, an agent-based behavior algorithm isproposed in 17 for seeking the optimal car parking lot. As regards the cloudaspect, a cloud-based computing model for ITS is proposed in 18. All theseexamples, however, lack an end-to-end solution for intelligent car parking servicesin the ‘big data’ age.

Asthe low-powered processing chips, smart mobile devices, cloud computing, futurenetworks (NGN) 19 and communication environments, such as the UbiquitousConsumer Wireless World (UCWW) 20 develop rapidly, there is a significantopportunity for the development of intelligent car parking systems, which canserve the users in an Always Best Connected and best Served (ABC) manner21.In this paper I m suggesting to apply this layered approach with the mostaccurate sensors that have been told before in the paper. ProposedResearch Methodology:Based on Application my research is an appliedresearch.Applied research is done to solve specific, practical questions; for policyformulation, administration and understanding of a phenomenon.  Applied research states to scientific study and research that pursues to solvepractical problems 22. Applied research isused to find solutions to everyday problems, cure illness, and developinnovative technologies 22. I am also going to solve the time and power complexityissue.

So, on this basis my research is an applied research. The combination of co relational andexplanatory is my research objective. Correlationresearch attempts to discover or establish the existence of a relationship or interdependencebetween two or more aspects of a situation 23 24 25. And Explanatoryresearch attempts to clarify why and how there is a relationship between two ormore aspects of a situation or phenomenon 23 24 25. There is arelationship exist in previous studies. In previous studies many did not followlayered approach with the most efficient sensor to get higheraccuracy.My research is a qualitative research. Qualitative research is a type of social science research thatcollects and works with non-numerical data and that seeks to interpret meaningfrom these data that help us understand social life through the study oftargeted populations or places 25.

Methodsof qualitative research include observation and immersion, interviews,open-ended surveys, focus groups, content analysis of visual and textualmaterials, and oral history 25. Qualitative researchers use their own eyes, ears, andintelligence to collect in-depth perceptions and descriptions of targetedpopulations, places, and events 25. Their findings are collected through a variety of methods,and often, a researcher will use at least two or several of the following whileconducting a qualitative study 25. I want to use non-numerical data tounderstand the movement. Qualitative research has both benefits anddrawbacks. On the plus side, it creates an in-depth understanding of theattitudes, behavior, interactions, events, and social processes that composeeveryday life. In doing so, it helps social scientists understand how everydaylife is influenced by society-wide 25.In my research Ialso want to improve the technique for social improvement by observing previousresearch.

Experimentalmethod will be stalked in my research. Experimental method is a systematic and scientific approach to research in which theresearcher manipulates one or more variables, and controls and measures anychange in other variables 26. In my research, I also have to collect the datafrom previous research and have to analysis them by putting them in variablesand by controlling them. So, it’s an experimental process. For that  I have chosen this method.

I am going to use Secondary Data. Secondary Data means which havealready been collected and analyzed by someone else. I will collect my datafrom different authors publication.    Literature Review:  1 Fox, G.C.

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