Design and Implementation of ZigBee Gateway for Ethernet

2014 ◽  
Vol 571-572 ◽  
pp. 438-442
Author(s):  
Shi Yang Yan

WSN (Wireless sensor network) using ZigBee has aroused people’s high interest, ZigBee is considered to be a general solution in many fields such as intelligent household, industrial application, security monitoring and medical application. But wireless sensor network can only provide service within a certain range, in order to overcome this limitation and provide remote application capacity, this paper proposes a technological solutions for the interconnection of ZigBee network and the Ethernet, develops a ZigBee gateway based on ARM platform. Based on the analysis of the ZigBee protocol stack and TCP/IP protocol stack, the protocol conversion mechanism of ZigBee and TCP/IP is presented. Through transplantation LwIP protocol stack, this paper achieves the goal of connecting gateway to Internet, and finally realizes the conversion from ZigBee network to TCP/IP network.

2016 ◽  
Vol 89 ◽  
pp. 193-202 ◽  
Author(s):  
Abhishek Joshi ◽  
Sarang Dhongdi ◽  
K.R. Anupama ◽  
Pritish Nahar ◽  
Rishabh Sethunathan

2017 ◽  
Vol 13 (07) ◽  
pp. 36
Author(s):  
Yuxia Shen

<p><span style="font-size: medium;"><span style="font-family: 宋体;">In wireless sensor networks, for improving the time synchronization perfromance of online monitoring and application of ZigBee protocol, a scheme is designed. For this objective, first of all, the ZigBee protocol specification is summarized, a profound analysis of the hardware abstraction architecture of TinyOS operating system is made; the advantages of the ZigBee protocol compared with the traditional radio technology are comparatively analyzed. At the same time, the node design block diagram based on CC2430 and related development system is provided. In the TinyOS2.x operating system, we analyze CC2430 application program abstract architecture, and on this basis, give the realization process of program design. The research results showed that we achieve an on-line monitoring system based on ZigBee protocol, which has realistic significance of applying ZigBee protocol in wireless sensor network of electrical equipment online monitoring. Based on the above research, it is concluded that the online monitoring system can collect the temperature parameters of the monitored object in real time that it can be widely applied in wireless sensor networks.</span></span></p>


2015 ◽  
Vol 738-739 ◽  
pp. 74-78
Author(s):  
Peng Ju Zhang ◽  
Gai Zhi Guo ◽  
Zong Zuo Yu

This paper presents an Embedded Smart Home system solution using wireless sensor network (WSN). The Smart Home system can be sectioned into four parts: wireless sensor network, embedded smart control centre, Server and Client. The major technical of the wireless sensor network is ZigBee. The wireless sensor network includes coordinator node and Sensor node. It is developed based on the Z-Stack protocol stack and the wireless chip CC2530. It is mainly responsible for collecting the environmental parameter of the house and controlling the electrical equipment in the house. It can also support the RFID access control and camera monitor. The control centre communicates with the wireless sensor network by the serial port. It communicates with Server by the TCP socket and transmits data to each client, or communicates with the client by using the wireless communication module directly. Partial hardware electric diagram and software flowchart were provided. Field using indicates that this system is economical and flexible.


Author(s):  
A Hendra ◽  
E Palantei ◽  
Syafaruddin ◽  
M S Hadis ◽  
N Zulkarnaim ◽  
...  

2013 ◽  
Vol 340 ◽  
pp. 787-791
Author(s):  
Shu Wei

With the continuous development of economy and science technology, residential area shows the intelligent, humane and diverse development trends, residential security has been paid more and more attention. Community monitoring system provides security living environment for district residents, wireless sensor network technology provides an opportunity for security monitoring system and wireless network. On the foundation of wireless sensor network, constructing the intelligent community security monitoring system, the wireless communication node is designed, to carry out the study of the network communication protocol and algorithm. The experimental results show that this monitoring control system has low power consumption, functional diversity and communication stability, which is applicable to a variety of conditions of community security monitoring.


2018 ◽  
Vol 14 (05) ◽  
pp. 93
Author(s):  
Jin Wang ◽  
Hua Shao

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-GB; mso-bidi-language: AR-SA;" lang="EN-GB">When a wireless sensor network is used to perform real-time security monitoring inside a building, there are drawbacks like multi-path signal fading and difficulty in spectrum sensing. In light of these problems, this paper proposes an improved signal spectrum sensing algorithm based on support vector machine (SVM), which inhibits the impacts brought by the low signal-noise-ratio (SNR) environment in the transmission process of wireless sensor signals through the embedded cyclostationary characteristic parameters. Based on this, considering the low efficiency and poor fault tolerance of multi-task monitoring and scheduling inside the building, this paper also proposes a multi-task coordination and scheduling algorithm based on physical information integration, which achieves multi-task scheduling and execution through intelligent breakdown and prioritization of general tasks. The simulation test shows that, compared with the artificial neural network (ANN) algorithm and the maximum-minimum eigenvalue (MME) algorithm, the proposed algorithm has much better spectrum sensing effect under low SNR, takes less computation time, and achieves higher accuracy in large-scale multi-task coordination and scheduling. The research conclusions can provide new ideas for the application of wireless sensor network in intelligent building security monitoring.</span>


2018 ◽  
Vol 18 (6) ◽  
pp. 945-965
Author(s):  
Guy L. Diety ◽  
B. Bolou Zehero ◽  
K. Eugene Ali ◽  
Olivier Asseu ◽  
Soumaya Hamouda

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