@techreport{TD:100674,
	att_abstract={{Low Power Listening (LPL) is a widely used asynchronous technique to reduce idle listening energy cost in wireless sensor networks.  Early LPL protocols like B-MAC that were designed for bit streaming radios achieve low duty cycle by keeping the radio transceiver awake for short time periods. However, they require a transmitter node to precede a packet transmission with a long preamble.  Furthermore, they cannot be used with modern packet radios like widely used IEEE 802.15.4 based radio transceivers, which cannot transmit arbitrarily long preambles. Recent LPL schemes like X-MAC, on the other hand, reduce the length of the preamble and are designed to work with packet radios. However, in order to ensure that a receiver can detect a transmitter's preamble transmission, these schemes need to turn the radio transceiver on for longer time duration than the early schemes like B-MAC. In this paper, we present a novel LPL scheme called QuickMAC, that achieves the best of both worlds---small radio awake periods, compatibility with packet (and bit stream) radios, and short preamble length. From our experiments using TMote sky motes, we show that QuickMAC reduces duty cycle by a factor of about 4 compared to X-MAC. }},
	att_authors={rp267p, gv2957, jp7326},
	att_categories={C_NSS.18},
	att_copyright={{IEEE}},
	att_copyright_notice={{This version of the work is reprinted here with permission of IEEE for your personal use. Not for redistribution. The definitive version was published in 2012 {{, 2012-10-08}}
}},
	att_donotupload={},
	att_private={false},
	att_projects={},
	att_tags={Sensor networks,  MAC protocol},
	att_techdoc={true},
	att_techdoc_key={TD:100674},
	att_url={http://web1.research.att.com:81/techdocs_downloads/TD:100674_DS1_2012-04-23T19:27:24.004Z.pdf},
	author={Rajesh Panta and Gregory Vesonder and James Pelletier},
	institution={{31st IEEE International Symposium on Reliable Distributed Systems}},
	month={October},
	title={{Efficient Asynchronous Low Power Listening for Wireless Sensor Networks}},
	year=2012,
}