Research on RSSI–based localization system in the wireless sensor network

被引：0

作者：

Liu, Hui ^{[1
]}

机构：

[1] School of computer and Information Science, Hunan Institute of Technology, Hengyang, Hunan

来源：

Open Automation and Control Systems Journal | 2014年 / 6卷 / 01期

关键词：

Fuzzy inference system; Localization; RSSI; Wireless sensor network;

D O I：

10.2174/1874444301406011139

中图分类号：

学科分类号：

摘要：

Due to the rapid development in wireless sensor networks, the applications of the WSN have been extended to different environment and achieved a more diversified purpose. AS for the localization system, there are many related research achievements. A set of localization system is built through the system integration between the small-scale wireless hardware sensor and the wireless sensor platform, through the use of the RSSI and the integration of the fuzzy inference system. The blind nodes are experimented in the indoor environment so that the system’s efficiency can be verified. The system is implemented in the 8 meters multiplying 8 meters indoor space which is divided into 16 sections. Then 4 anchor nodes are placed in the corners and the fuzzy identification system is built for the nodes’ RSSI signal in the blocks. Later, the localization test is implemented in the random positions within the blocks. The experimental results show that the localization system accuracy rate is more than 80% and can successfully reach the preliminary localization system. © Hui Liu.

引用

页码：1139 / 1146

页数：7

共 12 条

[1]

Mao G., Fidan B., Anderson B.D.O., Wireless Sensor Network Localization Techniques, ACM Computer Networks, 51, pp. 2529-2553, (2007)

[2]

Patwari N., Hero III A.O., Perkins M., Correal N.S., O'Dea R.J., Relative Location Estimation in Wireless Sensor Networks, IEEE Trans. on Signal Processing, 51, 8, pp. 2137-2148, (2003)

[3]

Wang Y., Xu X., Tao X., Localization in Wireless Sensor Networks via Support Vector Regression, Proceedings of International Conference on Genetic and Evolutionary Computing, pp. 549-552, (2009)

[4]

Kumar P., Reddy L., Distance measurement and error estimation scheme for RSSI based localization in Wireless ensor Networks, Proceedings of Wireless Communication and Sensor Networks, pp. 1-4, (2009)

[5]

Feng X., Gao Z., Yang M., Xiong S., Fuzzy Distance Measuring Based on RSSI in Wireless Sensor Network, Proceedings of International Conference on Intelligent System and Knowledge Engineering, pp. 395-400, (2008)

[6]

Blumenthal J., Grossmann R., Golatowski F., Timmermann D., Weighted Centroid Localization in Zigbee-based Sensor Networks, Proceedings of IEEE International Symposium on Intelligent Signal Processing, pp. 1-6, (2007)

[7]

Daiya V., Ebenezer J., Murty S.A.V.S., Raj B., Experimental Analysis of RSSI for Distance and Position Estimation, Proceedings of IEEE-International Conference on Recent Trends in Information Technology, pp. 1093-1098, (2011)

[8]

Moteiv Corporaton, Tmote Sky: Datasheet

[9]

Texas Instruments Incorporated MSP430F15x, MSP430F16x, MSP430F161x mixed signal microcontroller

[10]

Chipcon CC2420

← 1 2 →