Energy-Efficient Multilevel Heterogeneous Routing Protocol for Wireless Sensor Networks

被引:41
作者
Zhang, Yinghui [1 ]
Zhang, Xiaolu [1 ]
Ning, Shuang [1 ]
Gao, Jing [2 ]
Liu, Yang [1 ]
机构
[1] Inner Mongolia Univ, Coll Elect Informat Engn, Hohhot 010020, Peoples R China
[2] Tianjin Normal Univ, Tianjin Key Lab Wireless Mobile Commun & Power Tr, Tianjin 300387, Peoples R China
基金
中国国家自然科学基金;
关键词
Wireless sensor networks; residual energy; heterogeneity; routing protocol; LIFETIME; DESIGN; MAC;
D O I
10.1109/ACCESS.2019.2900742
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Wireless sensor networks (WSNs) are being applied widely for data collection, especially to carry out the mission-critical tasks. Therefore, one of the most challenging tasks of mission-critical sensors and sensor networks is the development of energy efficient (EE) routing protocols. Comparing with flat routing protocols, more EE can be achieved in hierarchical routing protocols. In this paper, we propose an enhanced balanced energy efficient network-integrated super-heterogeneous (E-BEENISH) routing protocol, by analyzing communication energy consumption of the clusters and a large range of energy levels in heterogeneous WSNs. E-BEENISH is based on weighted election probabilities of each node to become a cluster head according to the remaining energy and the distance from the sink to the node. Moreover, we also study the impact of the heterogeneity of nodes in terms of energy. Studying the sensitivity of our stable election protocol, we conclude heterogeneity parameters capturing energy imbalance in the network and find that the E-BEENISH yields the longer stability region for the suitable weight of energy and distance. Our results show by simulation that the E-BEENISH can improve system lifetime by an order of magnitude compared to obtained using current clustering protocols, which is crucial for many applications.
引用
收藏
页码:55873 / 55884
页数:12
相关论文
共 33 条
[1]   A survey on sensor networks [J].
Akyildiz, IF ;
Su, WL ;
Sankarasubramaniam, Y ;
Cayirci, E .
IEEE COMMUNICATIONS MAGAZINE, 2002, 40 (08) :102-114
[2]  
Alami H. E., 2016, SECURITY MANAGEMENT, P1
[3]  
[Anonymous], 2010, INT J COMPUT APPL
[4]  
Aslam M., 2012, 2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), P103, DOI 10.1109/SECON.2012.6275763
[5]   A Distributed Political Coalition Formation Framework for Multi-Relay Selection in Cooperative Wireless Networks [J].
Bahbahani, Mohammed S. ;
Baidas, Mohammed W. ;
Alsusa, Emad .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2015, 14 (12) :6869-6882
[6]   Minimizing communication costs in hierarchically-clustered networks of wireless sensors [J].
Bandyopadhyay, S ;
Coyle, EJ .
COMPUTER NETWORKS, 2004, 44 (01) :1-16
[7]   Modulation-Free M2M Communications for Mission-Critical Applications [J].
Cai, Songfu ;
Lau, Vincent K. N. .
IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2018, 4 (02) :248-263
[8]   Design considerations for ultra-low energy wireless microsensor nodes [J].
Calhoun, BH ;
Daly, DC ;
Verma, N ;
Finchelstein, DF ;
Wentzloff, DD ;
Wang, A ;
Cho, SH ;
Chandrakasan, AP .
IEEE TRANSACTIONS ON COMPUTERS, 2005, 54 (06) :727-740
[9]   On Network Lifetime Expectancy With Realistic Sensing and Traffic Generation Model in Wireless Sensor Networks [J].
Chakraborty, Ayon ;
Rout, Rashmi Ranjan ;
Chakrabarti, Aveek ;
Ghosh, Soumya K. .
IEEE SENSORS JOURNAL, 2013, 13 (07) :2771-2779
[10]   SEFP: A NEW ROUTING APPROACH USING FUZZY LOGIC FOR CLUSTERED HETEROGENEOUS WIRELESS SENSOR NETWORKS [J].
El Alami, Hassan ;
Najid, Abdellah .
INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS, 2015, 8 (04) :2286-2306