TY - GEN
T1 - Optimal Sleep Wakeup Mechanism for Green Internet of Things
AU - Panahi, Farzad H.
AU - Panahi, Fereidoun H.
AU - Heshmati, Sajad
AU - Ohtsuki, Tomoaki
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/4
Y1 - 2019/4
N2 - The presence of many battery-powered sensors in the Internet of Things (IoT) paradigm calls for the design of green and energy-aware protocols. One of the major challenges in the wireless networks based on IoT is to reduce energy consumption and increase network lifetime. This paper addresses the problem of designing a smart sleep/wake-up mechanism using the genetic algorithm (GA). GA, as a nature-inspired optimization approach, is used to manage the operation modes of the base stations (BSs) according to the time-variant profile of the daily traffic load. Accordingly, when a number of stations are sending data to nodes, i.e., active or awake nodes, other nodes are in inactive (sleep) mode. In this case, the energy efficiency (EE) of the network increases to an acceptable level via controlling the operation modes of the densely deployed BSs over wireless sensor networks (WSNs).
AB - The presence of many battery-powered sensors in the Internet of Things (IoT) paradigm calls for the design of green and energy-aware protocols. One of the major challenges in the wireless networks based on IoT is to reduce energy consumption and increase network lifetime. This paper addresses the problem of designing a smart sleep/wake-up mechanism using the genetic algorithm (GA). GA, as a nature-inspired optimization approach, is used to manage the operation modes of the base stations (BSs) according to the time-variant profile of the daily traffic load. Accordingly, when a number of stations are sending data to nodes, i.e., active or awake nodes, other nodes are in inactive (sleep) mode. In this case, the energy efficiency (EE) of the network increases to an acceptable level via controlling the operation modes of the densely deployed BSs over wireless sensor networks (WSNs).
KW - Genetic algorithm
KW - base stations
KW - internet of things
KW - network lifetime
KW - operation modes
KW - wireless sensor networks
UR - http://www.scopus.com/inward/record.url?scp=85070993668&partnerID=8YFLogxK
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U2 - 10.1109/IranianCEE.2019.8786620
DO - 10.1109/IranianCEE.2019.8786620
M3 - Conference contribution
AN - SCOPUS:85070993668
T3 - ICEE 2019 - 27th Iranian Conference on Electrical Engineering
SP - 1659
EP - 1663
BT - ICEE 2019 - 27th Iranian Conference on Electrical Engineering
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 27th Iranian Conference on Electrical Engineering, ICEE 2019
Y2 - 30 April 2019 through 2 May 2019
ER -