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Study of ZiFi- A Zigbee Application

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IJCA Proceedings on National Conference on Advancements in Alternate Energy Resources for Rural Applications
© 2015 by IJCA Journal
AERA 2015 - Number 1
Year of Publication: 2015
Authors:
Gundeep Singh
Sanamdeep Singh
Gurleen Kaur

Gundeep Singh, Sanamdeep Singh and Gurleen Kaur. Article: Study of ZiFi- A Zigbee Application. IJCA Proceedings on National Conference on Advancements in Alternate Energy Resources for Rural Applications AERA 2015(1):17-21, December 2015. Full text available. BibTeX

@article{key:article,
	author = {Gundeep Singh and Sanamdeep Singh and Gurleen Kaur},
	title = {Article: Study of ZiFi- A Zigbee Application},
	journal = {IJCA Proceedings on National Conference on Advancements in Alternate Energy Resources for Rural Applications},
	year = {2015},
	volume = {AERA 2015},
	number = {1},
	pages = {17-21},
	month = {December},
	note = {Full text available}
}

Abstract

WiFi networks have enjoyed an amazing penetration rate in recent years. However, due to the limited coverage, existing WiFi infrastructure only provides interrupted connectivity for mobile users. Once leaving the current network coverage, WiFi clients must actively discover new WiFi access points (APs), which wastes the precious energy of mobile devices. Although several solutions have been proposed to address this issue, they either require significant modifications to existing network infrastructures or rely on context information that is not available in unknown environments. In this review paper, a system called ZiFi is studied that utilizes ZigBee radios to identify the existence of WiFi networks through unique interference signatures generated by WiFi beacons. A new digital signal processing algorithm called Common Multiple Folding (CMF) is used that accurately amplifies periodic beacons in WiFi interference signals. ZiFi also adopts a constant false alarm rate (CFAR) detector that can minimize the false negative (FN) rate of WiFi beacon detection while satisfying the user-specified upper bound on false positive (FP) rate.

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