IEEE 802.15.4 네트워크에서 WiFi 네트워크의 간섭 탐지 방법 = A Detection Method of Interference from WiFi Network in IEEE 802.15.4 Network

다국어 초록 (Multilingual Abstract)

IEEE 802.15.4 network and WiFi network are installed to overlap each other and configured to use adjacent frequency bands in which case the communication service required by applications can not be guaranteed because of randomly increased frame transmission delay and frequent frame transmission failures at nodes in IEEE 802.15.4 network. In this paper, transmission delay model at IEEE 802.15.4 nodes and an experimental system to evaluate the interference from WiFi traffic are described, then elements for the evaluation of interference are measured with the analysis of their characteristics. A sequential method of using medium access layer and physical layer elements of IEEE 802.15.4 protocols is proposed to decide interference from WiFi network. With the proposed method, if an evaluation function having frame transmission failures and transmission delay as variables returns a value greater than a threshold, intensive measurements of wireless channel power are carried out subsequently and the final decision of interference is made by the calculated average channel power. Experimental results of the method show that the decision time is reduced with increased frequency of decision in comparison to an other similar method.

참고문헌 (Reference)

1 ZigBee Alliance, "ZigBee and Wireless Frequency Coexistence"

2 ZigBee Standards Organization, "ZigBee Specification"

3 LAN MAN Standards Committee of the IEEE Computer Society, "Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low Rate Wireless Personal Area Networks (WPANs)"

4 LAN MAN Standards Committee of the IEEE Computer Society, "Wireless LAN medium access control (MAC) and physical layer (PHY) specifications"

5 C. A. Boano, "The Triangle Metric : Fast Link Quality Estimation for Mobile Wireless Sensor Networks" 1-7, 2010

6 Z. Jindong, "Study and Prediction of Wireless Link Quality for Adaptive Channel Hopping" 7 (7): 1884-1891, 2012

7 K. Srinivasan, "RSSI is Under Appreciated" 2006

8 G. M. Tamilselvan, "Probability Analysis of channel collision between IEEE 802. 15. 4 and IEEE 802. 11b using Qualnet Simulation for various Topologies" 1 (1): 59-64, 2009

9 K. Shuaib, "Performance Evaluation of IEEE 802. 15. 4 : Experimental and Simulation Results" 2 (2): 29-37, 2007

10 M. U. Memon, "Packet Loss Ratio Evaluation of the Impact of Interference on ZigBee Network caused by Wi-Fi (IEEE 802.11b/g) in E-health Environment" 462-465, 2012

11 D. G. Yoon, "Packet Error Rate Analysis of IEEE 802. 15. 4 under IEEE 802. 11b Interference" 1186-1190, 2006

12 R. Musaloiu-E, "Minimising the Effect of WiFi Interference in 802. 15. 4 Wireless Sensor Networks" 3 (3): 2008

13 C. Gomez, "Impact of LQI-Based Routing Metrics on the Performance of a One-to-One Routing Portocol for IEEE 802. 15. 4 Multihop Networks" 2010

14 C. A. Boano, "Exploring the LQI Variance for Rapid Channel Quality Assessment" 369-370, 2009

15 S. M. Kim, "Experiments on Interference and Coexistence between Zigbee and WLAN Devices Operating in the 2. 4 GHz ISM Band" 15-19, 2005

16 P. Yi, "Developing ZigBeee Deployment Guideline Under WiFi Interference for Smart Grid Applications" 2 (2): 110-120, 2011

17 Texas Instrument, "CC253x System-on-Chip Solution for 2.4-GHz IEEE 802.15.4 and ZigBee Applications : User's Guide"

18 C. Won, "Adaptive Radio Channel Allocation for Supporting Coexistence of 802. 15. 4 and 802. 11b" 4 : 2522-2526, 2005

19 M. S. Kang, "Adaptive Interference-Aware Multi-Channel Clustering Algorithm in a Zigbee Network in the Presence of WLAN Interference" 2007