Maximum Data Generation Rate Routing Protocol Based on Data Flow Controlling Technology for Rechargeable Wireless Sensor Networks

被引:32
作者
Gao, Demin [1 ,2 ]
Zhang, Shuo [1 ]
Zhang, Fuquan [1 ]
Fan, Xijian [1 ]
Zhang, Jinchi [1 ]
机构
[1] Nanjing Forestry Univ, Coll Informat Sci & Technol, Nanjing 210037, Jiangsu, Peoples R China
[2] Univ Minnesota, Dept Comp Sci & Engn, Minneapolis, MN 55455 USA
来源
CMC-COMPUTERS MATERIALS & CONTINUA | 2019年 / 59卷 / 02期
基金
中国博士后科学基金;
关键词
Wireless sensor networks; maximum data generation rate; rechargeable-WSNs; DATA-COLLECTION;
D O I
10.32604/cmc.2019.05195
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For rechargeable wireless sensor networks, limited energy storage capacity, dynamic energy supply, low and dynamic duty cycles cause that it is unpractical to maintain a fixed routing path for packets delivery permanently from a source to destination in a distributed scenario. Therefore, before data delivery, a sensor has to update its waking schedule continuously and share them to its neighbors, which lead to high energy expenditure for reestablishing path links frequently and low efficiency of energy utilization for collecting packets. In this work, we propose the maximum data generation rate routing protocol based on data flow controlling technology. For a sensor, it does not share its waking schedule to its neighbors and cache any waking schedules of other sensors. Hence, the energy consumption for time synchronization, location information and waking schedule shared will be reduced significantly. The saving energy can be used for improving data collection rate. Simulation shows our scheme is efficient to improve packets generation rate in rechargeable wireless sensor networks.
引用
收藏
页码:649 / 667
页数:19
相关论文
共 33 条
[1]  
Amdouni Ichrak, 2015, MIL COMM INF SYST IC, P1
[2]  
Amruta MK, 2013, 2013 IEEE INTERNATIONAL MULTI CONFERENCE ON AUTOMATION, COMPUTING, COMMUNICATION, CONTROL AND COMPRESSED SENSING (IMAC4S), P281, DOI 10.1109/iMac4s.2013.6526423
[3]  
Din WISW, 2014, 2014 IEEE 10TH INTERNATIONAL COLLOQUIUM ON SIGNAL PROCESSING & ITS APPLICATIONS (CSPA 2014), P173, DOI 10.1109/CSPA.2014.6805742
[4]  
Gao DM, 2015, J TROP FOR SCI, V27, P342
[5]  
Gao DM, 2016, CHINA COMMUN, V13, P95, DOI 10.1109/CC.2016.7405728
[6]   Bounded end-to-end delay with Transmission Power Control techniques for rechargeable wireless sensor networks [J].
Gao, Demin ;
Wu, Guoxin ;
Liu, Yunfei ;
Zhang, Fuquan .
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 2014, 68 (05) :395-405
[7]   ESC: Energy Synchronized Communication in Sustainable Sensor Networks [J].
Gu, Yu ;
Zhu, Ting ;
He, Tian .
2009 17TH IEEE INTERNATIONAL CONFERENCE ON NETWORK PROTOCOLS (ICNP 2009), 2009, :52-62
[8]  
Hakoura B., 2012, EL COMP ENG CCECE 20, P1
[9]  
He SB, 2011, IEEE INFOCOM SER, P2006, DOI 10.1109/INFCOM.2011.5935007
[10]   On Maximizing Min Flow Rates in Rechargeable Wireless Sensor Networks [J].
He, Tengjiao ;
Chin, Kwan-Wu ;
Soh, Sieteng .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 14 (07) :2962-2972