TY - GEN
T1 - A sensor deployment optimization model of the wireless sensor networks under retransmission
AU - Liu, Xiaoxi
AU - Li, Ruiying
AU - Huang, Ning
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/10/7
Y1 - 2014/10/7
N2 - Wireless sensor networks (WSN) are widely applied in the supervisory control of the agriculture, biology, transportation, military and many other fields. An excellent node deployment strategy can largely reduce the energy consumption and optimize the lifetime of WSN. In this paper, a new node deployment model based on regular hexagon grids is proposed for a homogeneous flat WSN. Both the data transmission and energy consumption of each sensor in a data gathering cycle are analyzed based on energy consumption models, a routing algorithm, a retransmission model and a sleep/wakeup mechanism. Two optimization models for uniform and non-uniform sensor deployment schemes are proposed to minimize the energy consumption under the constraints of connectivity and coverage requirements. The results of our case studies show that when retransmission is considered, there are much less nodes and initial energy needed in the deployment of the WSN.
AB - Wireless sensor networks (WSN) are widely applied in the supervisory control of the agriculture, biology, transportation, military and many other fields. An excellent node deployment strategy can largely reduce the energy consumption and optimize the lifetime of WSN. In this paper, a new node deployment model based on regular hexagon grids is proposed for a homogeneous flat WSN. Both the data transmission and energy consumption of each sensor in a data gathering cycle are analyzed based on energy consumption models, a routing algorithm, a retransmission model and a sleep/wakeup mechanism. Two optimization models for uniform and non-uniform sensor deployment schemes are proposed to minimize the energy consumption under the constraints of connectivity and coverage requirements. The results of our case studies show that when retransmission is considered, there are much less nodes and initial energy needed in the deployment of the WSN.
KW - Deployment
KW - Energy
KW - Optimization model
KW - Retransmission
KW - Wireless sensor networks
UR - https://www.scopus.com/pages/publications/84910628298
U2 - 10.1109/CYBER.2014.6917499
DO - 10.1109/CYBER.2014.6917499
M3 - 会议稿件
AN - SCOPUS:84910628298
T3 - 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014
SP - 413
EP - 418
BT - 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014
Y2 - 4 June 2014 through 7 June 2014
ER -