The Efficiency of the Scalable Architecture for Revealing and Observing the Environment using Wireless Sensor

Abstract

The pervasiveness mobile is consisting with camera, gprs, gps and sensors provide efficient for collect data in single devices in environment. As like as, it introduces new application have designed to reduce larger size. This method consist of mapping based services, health monitoring and air quality measurement sensors to provide major role pertain data what they generate Wireless sensor network and mobiles is specific operation control amount of data generated by devices to attain their requirements. Sensor technology trends that development of sensor networks are new applications such as secured infrastructure, monitoring, and traffic control are presented. Not only hardware framework also implements software architecture called client server architecture it’s based on the peer-peer communication. This major advantage is storage concept means each data is store and forward to reception where data is stored in server which is storage large amount of data to preserve long time this is avoid unnecessary losses of data. Also reduce the data traffic and saving energy that made this project is more reliable and scalable. The scalable is defining as process sensors, location identification and communicates in a single device. Sensor network challenges include network discovery, route control, signal collaboration and information processing, task, query and security. That achieves a device to improve a quality of life in each individual. As more powerful computer system of processing energy, communication and storage capabilities to attain better efficiency output of this project.

Keywords

Gps, Sensors, Arm, Keilc

INTRODUCTION

Advancements in computing and communication systems combined with the development of micro electro-mechanical systems (MEMS) are changing the way the physical world is understood. Wireless sensor networks (WSNs) were born as the combination of these elements, allowing us to take measurements of the physical environment and gather data of interest for monitoring and decision making purposes. Nonetheless, WSNs consist of small computing devices with strong Limitations in terms of computing power, storage, mobility, communications, and, more important, energy. These limitations, plus the still high cost per device, have limited the use of WSNs to address large-scale societal problems to very few cases, if any. At the same time, two important developments have occurred. First, the number of cellular users has increased dramatically over the last several years. And second, the characteristics of the mobile devices have improved considerably, outperforming their WSN counterparts by a substantial margin. For example, mobile devices now come with Internet connectivity; other communication interfaces such as Wi-Fi and Bluetooth, more computing power and storage than their WSN counterpart, and come equipped with a microphone, camera, GPS, accelerometers, and sometimes other sensors.

The interesting part is that this platform is already out there, ready to be used. Furthermore, it does not present the deployment issues, high costs, and mobility and energy limitations of WSNs.

These developments have recently made researchers use cellular phones as a mobile sensing platform to collect data we could not collect before and address large-scale societal problems. Furthermore, the same platform can also be used to collect not only environmental data but also data pertaining to the user (health, activity, behaviour, etc.), which could be used to improve the user’s quality of life. Sensing and monitoring are referring to these types of applications.

SYSTEM ARCHITECTURE

The integration wireless sensor network ,server and other mobile devices to collect the data from environment ,implementing and operating at various level that data s are analyze and make estimate to given feedback. They have several devices used in the project, such as server, ip based layer, sensors and inter mediator. Server is perform store and forward data which is taken from the each node mainly it performs by receiver , when data is available therefore reduced traffic in network ,power consumption energy is saved because it is used client server architecture Ip based layer is consist in transport in OSI layer that is used communicate data from inter mediator and sensors is major role in project deals with sensors because it taken data and provide different application which is depends on kind of sensors inter mediator is called which is communicated data from sensors and analyze data and response feedback to sensors.

Client Architecture

The architecture is more effective computing in energy and storing also provide scalable ,filtering using several application in these process have major components as management layer they are deals with hardware to perform specific function. The sensor communication process sensors that used mainly communication because now major developing trends like wireless interface with all devices integrate sensor used for application for communication purpose. Now all types of sensors are available in market it is used sensing like fire, pollute, gases for environment issues. Other kind of devices such as tracking the place and collect information in exact spot in particular global area that is very important of sensing and managerial requirement classified as several issues.

That is device identify position used gps the major java package API and android types are software run gps concept to obtain the data. The data get from each separate device that applies to analyze position, point exact location how to reach. That used extra energy to utilize obtain or reduce energy consumption and save storage data management is consist of package to process obtain measure value, frequency modification that process represent of module process used detect , data obtained to perform some detection used for application.

When process of information to be noted everything corresponding manner also user needs to apply whatever changes to modify using communication managerial devices are used to data transfer used standard types reliable and monitoring is being used. Secured communication to provide guarantee to apply encrypt methods to be used.

Server Architecture

Server-side software architecture is starts with the Operating System and Application Server components. The application server is a runtime environment for server applications. Examples of these are the Java Platform Enterprise Edition (J2EE) application server, Microsoft’s Internet Information Services (IIS), and the Apache HTTP Server.

At the same level are the spatial and relational databases needed to store all the data. The following layer consists of three components that manage the communication of the server with mobile and static sensors and other servers. These are the Mobile WSN Management component, the Static WSN Management component, and the Server Sensing Management component. The following four components are the Data Collection and Analysis components, the Data Visualization Component, and the Sensing Application. The Mobile WSN Management component manages connectivity with the mobile sensing devices.

The functionality of this component matches those included in the Server Communication Management component in the client-side software architecture. It includes the Task Management module, which executes policies over the received data from the mobile devices to decide whether to store the data in the database, invoke a data analysis algorithm, or notify other devices in the system.

The Static WSN Management component integrates static WSNs in the architecture. It consists of the Communication Management, WSN Network Services, and Task Management modules. The Communication Management module provides the basic transport and session management functionality to connect and transfer data to and from the base station of the WSN. The WSN Network Services module includes algorithms that cannot be run in the base station because of the lack of data and/or processing capacity. Examples of algorithms that could run as services for a WSN are topology control and topology maintenance algorithms.

The last module is Task Management, which also executes policies and makes decisions based on the received data. This component interconnects a sensing-aware application with other sensing applications in other servers. With this functionality, a sensing task can be distributed among several servers, which reduce and balance the load in a server and provides service reliability for sensing in hostile environments such as military. This component consists of the Task Management module, which provides similar functionality as the one in the mobile WSN, and the Communication Management module that provides connectivity among servers.

Portable monitoring and sensing devices

The managerial consist of several application are military, ECG, are in real time environment, control intrusion detection, estimate sense of data in device. The aware of position alert and monitoring .which is provide reduce traffic and energy consumption that is made as possible which existing in occur congested problem due to larger data to be communicate so it occurs unnecessary traffic now this approach is use save double of bandwidth

When the location monitoring where gps is easily identified exact place when queries is send by user to detect the location gps is capture accurate position transferred to server in remote location exist approach to identify data but losing data by without stored.

It’s not only detect position use several application interface with sensors it provide new kind of operation. This is an additional operation.

Process Flow

ARCHITECTURAL OVERVIEW OF ARM7

The ARM7TDMI-S core based microcontroller called LPC2148, which is the production of NXP Semiconductors an ARM7TDMI-S is a general purpose 32-bit microprocessor, which deals high performance and very low power consumption. The ARM architecture is built on Reduced Instruction Set Computer (RISC) principles, and the instruction set and associated decode mechanism are much simpler than those of micro programmed Complex Instruction Set Computers. The LPC2148 microcontroller has 512 KB of on-chip high-speed flash memory.

This flash memory includes a special 128-bit wide memory interface and accelerator architecture that enables the CPU to execute sequential instructions from flash memory at the maximum 72 MHz system clock rate. The LPC2148, with real-time debug interfaces that include both JTAG and embedded trace, can implement both 32-bit ARM and 16-bit Thumb instructions.

The LPC2148 microcontroller incorporates an LCD switch, a 10/100 Ethernet Media Access Controller (MAC), a USB full-speed Device/Host/OTG Controller with 4 kb of endpoint RAM, four UARTs, two Controller Area Network (CAN) channels, an SPI interface, two Synchronous Serial Ports (SSP), three I2C interfaces, and an I2S interface. LPC2148 includes a 10-bit ADC with external eight-channel. With this, there is no need for an addition of AD conversion device in external system. The main controller is to accomplish the conversion from analog amplification ECG signal collected by acquisition module to A\D signal, encode the signal and enable LCD to display electrocardiogram, send to the GPRS module through UART port.

TRANSMISSION MODULE

The General Packet Radio Service (GPRS) is a connectivity solution based on Internet Protocols such as IPv4, IPv6. GPRS is an enhancement of 2G phones to enable them to send and receive data more rapidly. It has data rates from 56 up to 114 Kbps and continuous connection to the Internet for mobile phone and computer users. GPRS supports a number of services such as Short Communication Service, Multimedia Messaging Service, Wireless Application Protocol access, as well as Internet communications services. GPRS is a packet switched service, as opposed to circuit switching. 2G cellular systems combined with GPRS are often termed as "2.5G".

The SIM300 is integrated with the TCP/IP protocol, Extended TCP/IP AT commands are developed for customers to use the TCP/IP protocol easily, which is very beneficial for those data relocation applications. Communication between the microcontroller and the SIM300 is made through an UART interface. It has been set to 57600bps, 8-bit data, 1 stop bit and non parity. The module transmits the data grouped in logical frames. And it can be used as a modem in a computer system to connect to Internet; even there is no TCP/IP protocol stack in the software. These ensure the security of data transmission. GPRS facilitates instant connections whereby information can be sent or received immediately as the need arises.

SOFTWARE ORIENTATION

Embedded C is a programming language which is like to be run in the KEIL software. The front end is the C#.NET. Microsoft SQL Server provides an environment used to generate databases that can be accessed from workspaces, the Internet, or other media such as a personal digital assistant (PDA). The server used here is a SQL server 2005. It acts as a back end.

CONCLUSION

A prototype application is process that emerge the sensors and other devices to provide operation detecting and monitoring all data and transfer to server. Client server is used peer-peer communication. Major advantage is process of reduce traffic and save energy it achieve the reliable and scalable the terms are described in application when data is updated for every access for exist just forward data some time losses data easily but here data is stored and forward to maintain data long time. Also forward data by sensing network traffic if traffic process not transmit when free, data should be forward save energy consumption is made. More compact device because several application which is integrated in one device is more convenient for user. The detection and monitoring process is used major role in global environment.

References

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