NEEF: A NOVEL ENERGY EFFICIENT FUZZY LOGIC BASED CLUSTERING PROTOCOL FOR WIRELESS SENSOR NETWORK

被引:6
作者
Dwivedi, Anshu Kumar [1 ]
Sharma, A. K. [1 ]
机构
[1] Madan Mohan Malviya Univ Technol, Gorakhpur, Uttar Pradesh, India
来源
SCALABLE COMPUTING-PRACTICE AND EXPERIENCE | 2020年 / 21卷 / 03期
关键词
Energy Efficiency; Wireless Sensor Network; Clustering; Fuzzy Logic; Cluster Head; ALGORITHM; WSN;
D O I
10.12694/scpe.v21i3.1749
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The uttermost requirement of the wireless sensor network is prolonged lifetime. Unequal energy degeneration in clustered sensor nodes lead to the premature death of sensor nodes resulting in a lessened lifetime. Most of the proposed protocols primarily choose cluster head on the basis of a random number, which is somewhat discriminating as some nodes which are eligible candidates for cluster head role may be skipped because of this randomness. To rule out this issue, we propose a deterministic novel energy efficient fuzzy logic based clustering protocol (NEEF) which considers primary and secondary factors in fuzzy logic system while selecting cluster heads. After selection of cluster heads, non-cluster head nodes use fuzzy logic for prudent selection of their cluster head for cluster formation. NEEF is simulated and compared with two recent state of the art protocols, namely SCHFTL and DFCR under two scenarios. Simulation results unveil better performance by balancing the load and improvement in terms of stability period, packets forwarded to the base station, improved average energy and extended lifetime.
引用
收藏
页码:555 / 568
页数:14
相关论文
共 33 条
[1]  
Adhikary D.R.D., 2017, J ICT RES APPL, V11, P56
[2]   Clustering in sensor networks: A literature survey [J].
Afsar, M. Mehdi ;
Tayarani-N, Mohammad-H. .
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2014, 46 :198-226
[3]   A distributed fuzzy logic-based root selection algorithm for wireless sensor networks [J].
Alaybeyoglu, Aysegul .
COMPUTERS & ELECTRICAL ENGINEERING, 2015, 41 :216-225
[4]   A fuzzy three-level clustering method for lifetime improvement of wireless sensor networks [J].
Ayati, Moosa ;
Ghayyoumi, Mohammad Hossein ;
Keshavarz-Mohammadiyan, Atiyeh .
ANNALS OF TELECOMMUNICATIONS, 2018, 73 (7-8) :535-546
[5]   An energy aware fuzzy approach to unequal clustering in wireless sensor networks [J].
Bagci, Hakan ;
Yazici, Adnan .
APPLIED SOFT COMPUTING, 2013, 13 (04) :1741-1749
[6]   DUCF: Distributed load balancing Unequal Clustering in wireless sensor networks using Fuzzy approach [J].
Baranidharan, B. ;
Santhi, B. .
APPLIED SOFT COMPUTING, 2016, 40 :495-506
[7]  
Chengfa Li, 2005, 2005 IEEE International Conference on Mobile Adhoc and Sensor Systems
[8]   Fuzzy logic based clustering algorithm for wireless sensor networks [J].
Alami, Hassan El ;
Najid, Abdellah .
International Journal of Fuzzy System Applications, 2017, 6 (04) :63-82
[9]  
Gupta I, 2005, PROCEEDINGS OF THE 3RD ANNUAL COMMUNICATION NETWORKS AND SERVICES RESEARCH CONFERENCE, P255
[10]  
Heiniger R. W., 2000, Proceedings of the 5th International Conference on Precision Agriculture, Bloomington, Minnesota, USA, 16-19 July, 2000, P1