Journal of Computing and Electronic Information Management

ISSN: 2413-1660

Design of Intelligent Community Sensor Network Node

Jingjing Fana, Jianguang Zhaob Information Engineering Institute, Hebei Institute of Architectural Engineering, Zhang Jiakou, China [email protected], [email protected]

Abstract: On the basis of designing the hardware structure of the sensor network node, the NesC language with the component structure of TinyOS and TinyOS of wireless sensor network is used to develop the node program. Preparation of different programs for the different sensors for data acquisition and wireless transmission to the smart wireless sensor installed in the vehicle, smart cell information collection points that can sense information on the temperature Zhou Bian, humidity, light, position, acceleration, magnetic field, through wireless, such the wireless sensor node has a function of cooperating with Zhou Bian sensor nodes, communication, wireless sensor networks composition.

Keywords: sensor network, node, component, embedded

1. Introduction

The research of sensor networks began in the late 1990s. Since 2000, the international community began to appear some reports on the results of sensor networks. The current sensor network has attracted the attention of the military, industry and academia of many countries in the world. The Natural Science Foundation of the United States established a sensor network research program in 2003, investing $ 34 million to support the research on the underlying theory. Many universities in the United States have conducted sensor network research, the most representative of which is the University of California, Berkeley and Intel jointly established the \"smart dust\" laboratory, its goal is to provide the US military in a cubic millimeter Development of Device Prototype for Automatic Sensing and Communication in Volume. With the rise of the concept of , some well-known international companies and organizations have invested a great deal of enthusiasm. Standardized, the IEEE 802.15.4 standard issued by the well-known standardization organization is a

270 Volume 4 Issue 3 2017 dedicated wireless communication protocol for low-cost, low-power, low-rate transmission network application development. It defines the PHY and MAC layer communication interfaces in detail. The future of wireless sensor network PHY / MAC standard; ZigBee Union also actively developed and designed to achieve the sensor node networking ZigBee protocol specification [3]. Many domestic colleges and universities also set off a wireless sensor network research boom. Tsinghua University, China University of Science and Technology, Zhejiang University, Huazhong University of Science and Technology, Tianjin University, Nankai University, Beijing University of Posts and Telecommunications, Northeastern University, Northwestern Polytechnical University, Southwest Jiaotong University, Shenyang University of Technology and Shanghai Jiaotong University and other units have carried out the wireless Sensitive network of basic research work. Some enterprises such as ZTE Corporation and other units also joined the ranks of wireless sensor network research [4]. In the civil area, the sensor network involves intelligent building, urban public safety, public health, safe production, intelligent transportation, intelligent home, environmental monitoring and other fields. Internet and sensor network technology in the construction, intelligent home applications will be more extensive and in-depth, the task force in this context designed and implemented based on wireless sensor network intelligent residential vehicle management system.

2. The system design

(1) Design and implementation of intelligent residential vehicle management system based on wireless sensor network, including: access management, monitoring and security, parking and parking management, vehicle remote controller management, system network management. (2) To develop efficient wireless routing algorithm. (3) Effective improvement of MAC protocol, reduce battery energy loss. (4) Design and implementation of embedded intelligent gateway. CRITICAL ISSUES (1) Proficient in the use of wireless sensor network dedicated operating system TinyOS and TinyOS under the form of component structure (component) structure of the NesC language development, and use this system to develop the sensor node. (2) Based on S3C6410 and embedded Linux operating system embedded intelligent gateway design and implementation. Refining and improving (3) binding plane routing and hierarchical routing Routing protocols in the sensor network.

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(4) Wireless sensor networks based on limited battery operation, minimizing energy consumption research. MAC protocol is the largest part of the communication energy consumption. The key research contents are as follows: the collision and the retransmission occurs when the data frame is transmitted. When receiving the data which has nothing to do with it, it consumes unnecessary reception energy; Over-control packet switching for efficient data reception and transmission is; since it is not known how to receive data destined for itself, the node will continue to monitor the transmission channel and will result in a certain amount of communication energy consumption. (5) Integrity of communication data, real-time and security research.

3. The research program

The system uses from the bottom to the top, from hardware to software, the overall design and development program. That is, from the bottom of each sensor to start, combined with CPU (8-bit ), TinyOS using NesC programming wireless sensor network to achieve each sensor node. Each cell in the intelligent community can be regarded as a wireless sensor node, a number of wireless sensor nodes constitute an adaptive wireless sensor network, each node is the collection point of information is the routing point, the collected data through The routing algorithm is transmitted in each node, and the data frame transmission process involves the MAC protocol data conflict and so on, and finally reaches the embedded intelligent cell gateway. The gateway is based on S3C6410 and embedded Linux operating system platform, can effectively run the protocol conversion software, the wireless sensor network transmission data through the Ethernet sent to the intelligent cell control server, the server receives the data issued after the corresponding control commands, Through the intelligent gateway to each wireless sensor node. The system technology route: (1) Design to achieve each wireless sensor node. (2) Wireless sensor nodes composed of wireless adaptive sensor network, design and implementation of wireless node Routing algorithm. (3) Wireless sensor network MAC protocol optimization and improvement, to minimize the battery energy consumption, including conflict detection, redundancy control. (4) Intelligent community embedded gateway design and implementation, Linux system protocol conversion software design and implementation, and the establishment of embedded . (5) Based on the wireless sensor network intelligent community vehicle management

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system application testing. Including hardware module testing and software module testing and communication module testing. (6) System integration and maintenance. Key technologies (1) Cygwin common command, TinyOS structure and NesC language programming development technology. (2) On the basis of the plane routing protocol and the layered routing protocol, the problem of how to increase the traffic and repeat the data is needed, and how to reduce the query if the small sensor data is needed. (3) the collision of the data frame and the energy loss caused by the long time monitoring of the channel due to its transmission and reception of data that is not related to itself. (4) Embedded Linux under the network programming technology. Realization of Intelligent Community Vehicle Management Based on TinyOS and NesC's Wireless Sensor Network Technology. (5) Based on planar routing and hierarchical routing, a new wireless routing algorithm suitable for the system is designed and analyzed, and the three algorithms are analyzed and compared theoretically. (6) In order to minimize the energy loss of the battery, on the basis of the existing MAC protocol, the conflict detection algorithm is improved and the mathematical analysis is carried out.

4. Conclusion

Design and implementation of the wireless sensor network software architecture, and to achieve the network routing, and ultimately through the experimental equipment to simulate the realization of system functions, and related equipment in a number of residential areas put into use.

Acknowledgements

This work was financially supported by the National Natural Science Foundation Project: SDN-based cloud computing data center network scalability research, project number: U1636109. Education Department of Hebei Province youth fund project, project number: QN20131148. Hebei Institute of Architectural Engineering School Fund, NO: QN201414, Project Name: Based on the ski slopes of wireless sensor network security key technology research. Hebei Institute of Architectural Engineering School Fund, NO: ZD201407, Project Name: Campus Card intelligent consumer terminal Key Technology

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Research. Hebei provincial science and technology plan special work projects, NO: 16236004D-8, Project Name: Tian Road Zhangbei grassland surrounding mountains outdoor tourism micro backpack sites and intelligent search field development. Zhangjiakou City Science and Technology Research and Development projects, NO: 1411052B, Project Name: XE-2000 permanent magnet synchronous wind turbine fault diagnosis and the development of early warning systems. Project of 2016 Science and Technology Program of Zhangjiakou City, NO: 1611059B, Project Name: Research and Development of Zhangbei Ice and Snow 3D Virtual Tour Online Experience System Based on Virtual Reality.

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