The Design and Implementation of the Global Position System Anchor Node for Wireless Sensor Network

2011 ◽  
Vol 9 (5) ◽  
pp. 1916-1920 ◽  
Author(s):  
Yao-Chiang Kan ◽  
Hsueh-Chun Lin ◽  
Yao-Ming Hong
Keyword(s):  
Wireless Sensor Network ◽  
Global Position System ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Position System ◽  
Anchor Node ◽  
Design And Implementation

The Design and Implementation of an Information Acquisition System for Building Running Environment Based on Wireless Sensor Network and Loongson2F

2013 ◽  
Vol 303-306 ◽  
pp. 578-581
Author(s):  
Kai Tuo Du ◽  
Zhen Ya Zhang ◽  
Hong Mei Cheng ◽  
Qian Sheng Fang
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Information Acquisition ◽  
Host Computer ◽  
Acquisition System ◽  
Wireless Sensor ◽  
Hardware Cost ◽  
Public Building ◽  
Design And Implementation ◽  
Wireless Node

The process of building environmental information perception can be constructed with wireless sensor network (WSN) expediently. A WSN based information acquisition system for building running environment is described in this paper. The CPU of host computer in the system is Loongson2F and wireless nodes in the system are implemented as Telsob nodes. Because the price of wireless node is low, the hardware cost of the desired system is decreased evidently and the security of the desired system is enhanced because the CPU of the host is native. With those features, the application scenario of the desired system is extended widely. To verify the suitability of the using of Collection Tree Protocol (CTP) in construction of the WSN in the desired information acquisition system, the performance of the CTP based WSN deployed in public building space for environment information acquiring are tested and solutions for some key problems in the construction and the maintenance of the CTP based WSN are given in this paper too.

scholarly journals Design and Implementation of Wireless Sensor Cellular Network Based on Android Platform

2017 ◽  
Vol 13 (05) ◽  
pp. 56
Author(s):  
Yan Chen
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Cellular Network ◽  
Data Communication ◽  
Wireless Sensor ◽  
Test Results ◽  
Design And Implementation ◽  
Gateway System ◽  
Android Platform ◽  
The Times

With the progress of the times, the network has grown into the people's work and life. The limitations of the traditional wireless sensor network (WSN) have become increasingly prominent, and it is obviously unable to meet the requirements of Internet access. Therefore, the 4G mobile Android system is used as a carrier, to design an application layer gateway system for realizing wireless communication between wireless sensor networks and heterogeneous cellular networks, so as to build wireless sensor cellular network. The design and implementation of the AP module, data receiving and forwarding module, network packet loss management and retransmission of the gateway systemis the focus, and then the implemented gateway system is tested. The test results show that the design of the Android platform wireless sensor network gateway system can connect the sensor network to the cellular network, so as to realize data communication, and to ensure that the data loss rate is less than 0.1%. Through testing, it is concluded that the system can meet the actual demand

scholarly journals An RSSI-based Wireless Sensor Network Localization Algorithm with Error Checking and Correction

2017 ◽  
Vol 13 (12) ◽  
pp. 52 ◽  
Author(s):  
Bo Guan ◽  
Xin Li
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Wireless Sensor ◽  
Localization Algorithm ◽  
Sensor Network Localization ◽  
Anchor Node ◽  
Network Localization ◽  
Error Checking

<p style="margin: 1em 0px;"><span style="font-family: Times New Roman; font-size: medium;">This paper studies the wireless sensor network localization algorithm based on the received signal strength indicator (RSSI) in detail. Considering the large errors in ranging and localization of nodes made by the algorithm, this paper corrects and compensates the errors of the algorithm to improve the coordinate accuracy of the node. The improved node localization algorithm performs error checking and correction on the anchor node and the node to be measured, respectively so as to make the received signal strength value of the node to be measured closer to the real value. It corrects the weighting factor by using the measured distance between communication nodes to make the coordinate of the node to be measured more accurate. Then, it calculates the mean deviation of localization based on the anchor node close to the node to be measured and compensates the coordinate error. Through the simulation experiment, it is found that the new localization algorithm with error checking and correction proposed in this paper improves the localization accuracy by 5%-6% compared with the weighted centroid algorithm based on RSSI.</span></p>

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