TY - GEN
T1 - Fast and reliable data forwarding in low-duty-cycle wireless sensor networks
AU - Choe, Junseong
AU - Khanh Ha, Nguyen Phan
AU - Hong, Junguye
AU - Choo, Hyunseung
PY - 2012
Y1 - 2012
N2 - In this paper, we propose an Enhanced Greedy Forwarding based on low Duty Cycle (GFDC). This novel scheme guarantees reliable and efficient packet transmission by considering a low-duty cycle environment. For the enhancement of the delivery rate and energy efficiency, the existing greedy forwarding schemes forward packets by considering the distance between a destination and the link asymmetry. Energy efficiency is an important problem in Wireless Sensor Networks (WSNs). Most of the energy in WSNs is consumed by radio, and the power consumption for idle listening approximates to the transmission energy. If the radio keeps listening for the incoming packets then, it will cost most of battery energy and the network lifetime decreases. In order to solve this problem, duty-cycle WSNs are developed. However, the high end to end delay may increase due to certain nodes that stay asleep most of the time and wake up asynchronously. This leads to challenges for the development of new data forwarding protocols in low duty-cycle environment. In order to enhance the delivery rate, energy efficiency, and end to end delay, the GFDC uses a path with w (weight) by considering not only the unreliability and asymmetry of wireless links but also the sleep latency problem. Simulation results show that the GFDC improves end to end delay by about 26% and energy efficiency by about 6% compared to MAGF+DC (Duty Cycle).
AB - In this paper, we propose an Enhanced Greedy Forwarding based on low Duty Cycle (GFDC). This novel scheme guarantees reliable and efficient packet transmission by considering a low-duty cycle environment. For the enhancement of the delivery rate and energy efficiency, the existing greedy forwarding schemes forward packets by considering the distance between a destination and the link asymmetry. Energy efficiency is an important problem in Wireless Sensor Networks (WSNs). Most of the energy in WSNs is consumed by radio, and the power consumption for idle listening approximates to the transmission energy. If the radio keeps listening for the incoming packets then, it will cost most of battery energy and the network lifetime decreases. In order to solve this problem, duty-cycle WSNs are developed. However, the high end to end delay may increase due to certain nodes that stay asleep most of the time and wake up asynchronously. This leads to challenges for the development of new data forwarding protocols in low duty-cycle environment. In order to enhance the delivery rate, energy efficiency, and end to end delay, the GFDC uses a path with w (weight) by considering not only the unreliability and asymmetry of wireless links but also the sleep latency problem. Simulation results show that the GFDC improves end to end delay by about 26% and energy efficiency by about 6% compared to MAGF+DC (Duty Cycle).
KW - Data Forwarding
KW - Greedy Forwarding
KW - Low Duty Cycle
KW - Sleep Latency
KW - Wireless Sensor Networks
KW - WSNs
UR - https://www.scopus.com/pages/publications/84863892953
U2 - 10.1007/978-3-642-31137-6_25
DO - 10.1007/978-3-642-31137-6_25
M3 - Conference contribution
AN - SCOPUS:84863892953
SN - 9783642311369
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 324
EP - 338
BT - Computational Science and Its Applications - 12th International Conference, ICCSA 2012, Proceedings
T2 - 12th International Conference on Computational Science and Its Applications, ICCSA 2012
Y2 - 18 June 2012 through 21 June 2012
ER -
