TY - GEN
T1 - A MAC protocol with adaptive preloads considering low duty-cycle in WSNs
AU - On, Jeong Seok
AU - Kim, Jae Hyun
AU - Lee, Jaiyong
AU - Kim, Yeonsoo
AU - Chong, Hakjin
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2007
Y1 - 2007
N2 - Leading MAC protocols developed for duty-cycled WSNs such as B-MAC employ a long preamble and channel sampling. The long preamble introduces excess latency at each hop and results in excess energy consumption at non-target receivers in ultra low-duty cycled WSNs. In this paper we propose AS-MAC (Asynchronous Sensor MAC), a low power MAC protocol for wireless sensor networks (WSNs). AS-MAC solves these problems by employing a series of preload approach that retains the advantages of low power listening and independent channel sampling schedule. The preload massage includes a destination address and a remaining time until data transmission. Moreover AS-MAC offers an additional advantage such as flexible duty cycle as data rate varies. We demonstrate that AS-MAC is better performance than B-MAC through analysis and evaluation.
AB - Leading MAC protocols developed for duty-cycled WSNs such as B-MAC employ a long preamble and channel sampling. The long preamble introduces excess latency at each hop and results in excess energy consumption at non-target receivers in ultra low-duty cycled WSNs. In this paper we propose AS-MAC (Asynchronous Sensor MAC), a low power MAC protocol for wireless sensor networks (WSNs). AS-MAC solves these problems by employing a series of preload approach that retains the advantages of low power listening and independent channel sampling schedule. The preload massage includes a destination address and a remaining time until data transmission. Moreover AS-MAC offers an additional advantage such as flexible duty cycle as data rate varies. We demonstrate that AS-MAC is better performance than B-MAC through analysis and evaluation.
UR - http://www.scopus.com/inward/record.url?scp=38449115061&partnerID=8YFLogxK
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U2 - 10.1007/978-3-540-77024-4_26
DO - 10.1007/978-3-540-77024-4_26
M3 - Conference contribution
AN - SCOPUS:38449115061
SN - 9783540770237
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 269
EP - 280
BT - Mobile Ad-hoc and Sensor Networks - Third International Conference, MSN 2007, Proceedings
PB - Springer Verlag
T2 - 3rd International Conference on Mobile Ad-hoc and Sensor Networks, MSN 2007
Y2 - 12 December 2007 through 14 December 2007
ER -