TY - GEN
T1 - Energy aware data gathering based on adaptive modulation scaling in wireless sensor networks
AU - Yang, Zongkai
AU - Yuan, Yong
AU - He, Jianhua
N1 - Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2004
Y1 - 2004
N2 - Energy consumption has been a key concern of data gathering in wireless sensor networks. Previous research works show that modulation scaling is an efficient technique to reduce energy consumption. However, such technique will also impact on both packet delivery latency and packet loss, therefore, may result in adverse effects on the qualities of applications. In this paper, we study the problem of modulation scaling and energy-optimization. A mathematical model is proposed to analyze the impact of modulation scaling on the overall energy consumption, end-to-end mean delivery latency and mean packet loss rate. A centralized optimal management mechanism is developed based on the model, which adaptively adjusts the modulation levels to minimize energy consumption while ensuring the QoS for data gathering. Experimental results show that the management mechanism saves significant energy in all the investigated scenarios. Some valuable results are also observed in the experiments.
AB - Energy consumption has been a key concern of data gathering in wireless sensor networks. Previous research works show that modulation scaling is an efficient technique to reduce energy consumption. However, such technique will also impact on both packet delivery latency and packet loss, therefore, may result in adverse effects on the qualities of applications. In this paper, we study the problem of modulation scaling and energy-optimization. A mathematical model is proposed to analyze the impact of modulation scaling on the overall energy consumption, end-to-end mean delivery latency and mean packet loss rate. A centralized optimal management mechanism is developed based on the model, which adaptively adjusts the modulation levels to minimize energy consumption while ensuring the QoS for data gathering. Experimental results show that the management mechanism saves significant energy in all the investigated scenarios. Some valuable results are also observed in the experiments.
KW - wireless sensor network
KW - adaptive modulation scaling
KW - energy efficient design
UR - http://www.scopus.com/inward/record.url?scp=17144401465&partnerID=8YFLogxK
UR - http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1400567
U2 - 10.1109/VETECF.2004.1400567
DO - 10.1109/VETECF.2004.1400567
M3 - Conference publication
AN - SCOPUS:17144401465
SN - 0-7803-8521-7
VL - 4
T3 - IEEEVTS vehicular technology conference
SP - 2794
EP - 2798
BT - 2004 IEEE 60th vehicular technology conference : VTC2004-Fall
PB - IEEE
T2 - 60th Vehicular Technology Conference
Y2 - 26 September 2004 through 29 September 2004
ER -