DocumentCode :
1896854
Title :
Frequency agility in a ZigBee network for smart grid application
Author :
Yi, Peizhong ; Iwayemi, Abiodun ; Zhou, Chi
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
fYear :
2010
fDate :
19-21 Jan. 2010
Firstpage :
1
Lastpage :
6
Abstract :
Smart grid is an intelligent power generation, distribution and control system. ZigBee, as wireless mesh networking scheme low in cost, power, data rate, and complexity, is ideal for smart grid applications. Unfortunately, almost all ZigBee channels are overlapped with wireless local area networks (WLAN) based on 802.11 specifications, resulting in significant service degradations in interference scenarios. We propose a frequency agility-based interference avoidance algorithm, which utilizes Energy Detection (ED) and active scan to perform smart channel selection. This algorithm can detect interference and adaptively switch nodes to "safe" channels to dynamically avoid WLAN interference. Our proposed scheme was empirically evaluated in terms of the packet error rate (PER) using a ZigBee and Wifi coexistence testbed, and the results were compared with our analytical results. The measurement results show the algorithm efficiently mitigates the effect of WiFi interference upon ZigBee networks.
Keywords :
frequency agility; interference suppression; power system analysis computing; smart power grids; wireless LAN; wireless mesh networks; IEEE 802.11; ZigBee network; energy detection; frequency agility-based interference avoidance algorithm; intelligent control system; packet error rate; power distribution control; power generation control; smart grid application; wireless local area networks; wireless mesh networking; Control systems; Costs; Degradation; Frequency; Interference; Power generation; Smart grids; Switches; Wireless LAN; ZigBee; Active Scan; Energy Detection; PER; Smart Grid; WLAN; ZigBee; frequency agility;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies (ISGT), 2010
Conference_Location :
Gaithersburg, MD
Print_ISBN :
978-1-4244-6264-3
Electronic_ISBN :
978-1-4244-6333-6
Type :
conf
DOI :
10.1109/ISGT.2010.5434747
Filename :
5434747
Link To Document :
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