TY - GEN
T1 - ATPC
T2 - SenSys'06: 4th International Conference on Embedded Networked Sensor Systems
AU - Lin, Shan
AU - Zhang, Jingbin
AU - Zhou, Gang
AU - Gu, Lin
AU - Stankovic, John A.
AU - He, Tian
PY - 2006
Y1 - 2006
N2 - Extensive empirical studies presented in this paper confirm that the quality of radio communication between low power sensor devices varies significantly with time and environment. This phenomenon indicates that the previous topology control solutions, which use static transmission power, transmission range, and link quality, might not be effective in the physical world. To address this issue, online transmission power control that adapts to external changes is necessary. This paper presents ATPC, a lightweight algorithm of Adaptive Transmission Power Control for wireless sensor networks. In ATPC, each node builds a model for each of its neighbors, describing the correlation between transmission power and link quality. With this model, we employ a feedback-based transmission power control algorithm to dynamically maintain individual link quality over time. The intellectual contribution of this work lies in a novel pairwise transmission power control, which is significantly different from existing node-level or network-level power control methods. Also different from most existing simulation work, the ATPC design is guided by extensive field experiments of link quality dynamics at various locations and over a long period of time. The results from the real-world experiments demonstrate that 1) with pairwise adjustment, ATPC achieves more energy savings with a finer tuning capability and 2) with online control, ATPC is robust even with environmental changes over time.
AB - Extensive empirical studies presented in this paper confirm that the quality of radio communication between low power sensor devices varies significantly with time and environment. This phenomenon indicates that the previous topology control solutions, which use static transmission power, transmission range, and link quality, might not be effective in the physical world. To address this issue, online transmission power control that adapts to external changes is necessary. This paper presents ATPC, a lightweight algorithm of Adaptive Transmission Power Control for wireless sensor networks. In ATPC, each node builds a model for each of its neighbors, describing the correlation between transmission power and link quality. With this model, we employ a feedback-based transmission power control algorithm to dynamically maintain individual link quality over time. The intellectual contribution of this work lies in a novel pairwise transmission power control, which is significantly different from existing node-level or network-level power control methods. Also different from most existing simulation work, the ATPC design is guided by extensive field experiments of link quality dynamics at various locations and over a long period of time. The results from the real-world experiments demonstrate that 1) with pairwise adjustment, ATPC achieves more energy savings with a finer tuning capability and 2) with online control, ATPC is robust even with environmental changes over time.
KW - Adaptive
KW - Feedback
KW - Link quality
KW - Transmission power control
KW - Wireless sensor network
UR - http://www.scopus.com/inward/record.url?scp=34547468217&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34547468217&partnerID=8YFLogxK
U2 - 10.1145/1182807.1182830
DO - 10.1145/1182807.1182830
M3 - Conference contribution
AN - SCOPUS:34547468217
SN - 1595933433
SN - 9781595933430
T3 - SenSys'06: Proceedings of the Fourth International Conference on Embedded Networked Sensor Systems
SP - 223
EP - 236
BT - SenSys'06
Y2 - 31 October 2006 through 3 November 2006
ER -