On human mobility assisted data collection in wireless sensor networks

被引：0
作者：
Li, Zhuo [1 ,2 ]
Li, Wen-zhong [3 ]
Lu, Sang-lu [3 ]
Chen, Dao-xu [3 ]
机构：
[1] Beijing Informat Sci & Technol Univ, Sch Comp Sci, Beijing 100101, Peoples R China
[2] Beijing Informat Sci & Technol Univ, Beijing Key Lab Internet Culture & Digital Dissem, Beijing 100101, Peoples R China
[3] Nanjing Univ, Natl Key Lab Novel Software Technol, Nanjing 210046, Jiangsu, Peoples R China
来源：
INTERNATIONAL JOURNAL OF SENSOR NETWORKS | 2015年 / 19卷 / 3-4期
基金：
中国国家自然科学基金;
关键词：
data collection; human mobility; wireless sensor networks; MEAN WAITING TIME; APPROXIMATION;
D O I：
10.1504/IJSNET.2015.072861
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Mobile element based data collection has been developed for wireless sensor networks. In the existing work, mobility controlled devices are usually needed. We propose a data collection scheme based on human mobility in this paper, which is more energy efficient. We analyse its performance theoretically. Our work is based on the SLAW mobility model, which has been proposed recently according to the features of human mobility. We develop mathematical methods to calculate the expected waiting time for the sensing data and the expected queue length at the sensors. The correctness of our methods has been proved through numerical simulations.
引用
收藏
页码：141 / 149
页数：9
相关论文
共 32 条
[1]  
Adan I., 2002, QUEUEING THEORY
[2]  
[Anonymous], 2010, INTERSPEECH 2010
[3]  
Barolli Leonard, 2011, 2011 IEEE 9th International Symposium on Parallel and Distributed Processing with Applications (ISPA), P63, DOI 10.1109/ISPA.2011.22
[4]  
Bin Cheng, 2011, IEEE INFOCOM 2011 - IEEE Conference on Computer Communications. Workshops, P578, DOI 10.1109/INFCOMW.2011.5928879
[5]  
CROMMELIN CD, 1934, P O ELEC ENG J, V26, P266
[6]  
Davies V., 2000, THESIS
[7]  
Einstein Albert., 1956, INVESTIGATION THEORY
[8]  
El-Moukaddem F., 2010, 2010 IEEE 7th International Conference on Mobile Ad-Hoc and Sensor Systems (MASS 2010), P312, DOI 10.1109/MASS.2010.5664019
[9]  
Grinstead CM., 1997, Introduction to Probability
[10]  
GUO LJ, 2011, P IEEE INFOCOM, P1611
1234