CRPD: a novel clustering routing protocol for dynamic wireless sensor networks

被引:33
作者
Wang, Shaoqing [1 ]
Yu, Jiguo [1 ]
Atiquzzaman, Mohammed [2 ]
Chen, Honglong [3 ]
Ni, Lina [4 ]
机构
[1] Qufu Normal Univ, Sch Informat Sci & Engn, Rizhao 276826, Shandong, Peoples R China
[2] Univ Oklahoma, Sch Comp Sci, Norman, OK 73019 USA
[3] China Univ Petr, Coll Informat & Control Engn, Qingdao 266500, Peoples R China
[4] Shandong Univ Sci & Technol, Coll Comp Sci & Engn, Qingdao 266590, Peoples R China
关键词
Wireless sensor networks; Dynamic; Clustering; Routing protocol; Energy efficiency; ENERGY-EFFICIENT; DATA-COLLECTION; SCHEME;
D O I
10.1007/s00779-018-1117-6
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A wireless sensor network (WSN) consists of a large number of static or mobile, low-cost, and low-power sensor nodes. And energy is one of the most important factors that should be considered. In this paper, we propose clustering-based routing protocol for dynamic networks (CRPD) to reduce energy consumption and improve energy efficiency through clustering and routing algorithms. The basic idea is to periodically update the network topology and select the node with larger degree and high residual energy as the cluster head to be responsible for data aggregation and transmission. With the nodes moving, joining, and choosing the optimal clustering radius, the energy load of the whole network can be evenly distributed to each sensor node, which can significantly prolong the network lifetime. Extensive simulations show that CRPD is more energy-efficient than the existing protocols.
引用
收藏
页码:545 / 559
页数:15
相关论文
共 34 条
[1]   Mobile Sink-Based Adaptive Immune Energy-Efficient Clustering Protocol for Improving the Lifetime and Stability Period of Wireless Sensor Networks [J].
Abo-Zahhad, Mohammed ;
Ahmed, Sabah M. ;
Sabor, Nabil ;
Sasaki, Shigenobu .
IEEE SENSORS JOURNAL, 2015, 15 (08) :4576-4586
[2]  
[Anonymous], INT J DISTRIB SENSOR
[3]  
[Anonymous], IEEE HAW INT C SYST
[4]   Adaptive decentralized re-clustering protocol for wireless sensor networks [J].
Bajaber, Fuad ;
Awan, Irfan .
JOURNAL OF COMPUTER AND SYSTEM SCIENCES, 2011, 77 (02) :282-292
[5]  
Chen LQ, 2015, CHIN CONTR CONF, P7811, DOI 10.1109/ChiCC.2015.7260880
[6]   Distributed Clustering With Directional Antennas for Wireless Sensor Networks [J].
Chen, Ying-Chih ;
Wen, Chih-Yu .
IEEE SENSORS JOURNAL, 2013, 13 (06) :2166-2180
[7]   Extracting Kernel Dataset from Big Sensory Data in Wireless Sensor Networks [J].
Cheng, Siyao ;
Cai, Zhipeng ;
Li, Jianzhong ;
Gao, Hong .
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2017, 29 (04) :813-827
[8]   Effective neural network-based node localisation scheme for wireless sensor networks [J].
Chuang, Po-Jen ;
Jiang, Yi-Jun .
IET WIRELESS SENSOR SYSTEMS, 2014, 4 (02) :97-103
[9]  
Ganesan D., 2001, MOBILE COMPUTER COMM, V5, P11, DOI [10.1145/509506.509514, DOI 10.1145/509506.509514]
[10]   An application-specific protocol architecture for wireless microsensor networks [J].
Heinzelman, WB ;
Chandrakasan, AP ;
Balakrishnan, H .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2002, 1 (04) :660-670