A Link Quality Estimation Model for Energy-Efficient Wireless Sensor Networks

被引:0
作者
Wen, Jianjun [1 ]
Ansar, Zeeshan [1 ]
Dargie, Waltenegus [1 ]
机构
[1] Tech Univ Dresden, Fac Comp Sci, Chair Comp Networks, D-01062 Dresden, Germany
来源
2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC) | 2015年
关键词
Bursty links; burst transmission; link quality estimation; transmission control; wireless sensor networks;
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Understanding fluctuations of link quality in a wireless sensor network is useful for different reasons. For example, nodes can determine when and for how long they should transmit packets, so that they can reduce packet loss rate and the cost of retransmission (delay as well as power consumption). However, because the quality of a link depends on many factors, it cannot be known except in a probabilistic sense. In this paper we estimate the expected duration in which the quality of a specific link remains stable using the conditional distribution function of the signal-to-noise ratio (SNR) of received acknowledgment packets. We employ the expected duration to determine how long nodes should transmit packet in burst and how long they should refrain from contention. To develop our model, we deployed Imote2 sensor platforms in indoor and outdoor places and transmitted more than 70, 000 packets. We transmitted additional 16,900 packets to test our model. 90% of the time, our approach resulted in high packet delivery compared with the case in which packets were transmitted without knowledge of link quality fluctuations.
引用
收藏
页码:6694 / 6700
页数:7
相关论文
共 19 条
[1]   Link-level measurements from an 802.11b mesh network [J].
Aguayo, D ;
Bicket, J ;
Biswas, S ;
Judd, G ;
Morris, R .
ACM SIGCOMM COMPUTER COMMUNICATION REVIEW, 2004, 34 (04) :121-131
[2]  
Alizai MH, 2009, SENSYS 09: PROCEEDINGS OF THE 7TH ACM CONFERENCE ON EMBEDDED NETWORKED SENSOR SYSTEMS, P71
[3]  
[Anonymous], 2003, WIRELESS MEDIUM CONT
[4]  
Baccour N., 2013, SPRINGER BRIEFS ELEC
[5]   Radio Link Quality Estimation in Wireless Sensor Networks: A Survey [J].
Baccour, Nouha ;
Koubaa, Anis ;
Mottola, Luca ;
Zuniga, Marco Antonio ;
Youssef, Habib ;
Boano, Carlo Alberto ;
Alves, Mario .
ACM TRANSACTIONS ON SENSOR NETWORKS, 2012, 8 (04)
[6]  
Brown J, 2011, LECT NOTES COMPUT SC, V6567, P195, DOI 10.1007/978-3-642-19186-2_13
[7]  
Carrillo JA, 2005, NEW TRENDS IN MATHEMATICAL PHYSICS, P234
[8]  
Dargie W., 2010, FUNDAMENTALS WIRELES, DOI DOI 10.1002/9780470666388
[9]  
Dargie W, 2014, C LOCAL COMPUT NETW, P442, DOI 10.1109/LCN.2014.6925812
[10]  
Dong Q.Dargie., 2012, WIRELESS COMMUNICATI, P1, DOI DOI 10.1109/ICWCUCA.2012.6402492