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
[11]  
Kim JM, 2008, 10TH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY, VOLS I-III, P654
[12]   Fuzzy-Logic-Based Clustering Approach for Wireless Sensor Networks Using Energy Predication [J].
Lee, Jin-Shyan ;
Cheng, Wei-Liang .
IEEE SENSORS JOURNAL, 2012, 12 (09) :2891-2897
[13]   PEGASIS: Power-efficient GAthering in sensor information systems [J].
Lindsey, S ;
Raghavendra, CS .
2002 IEEE AEROSPACE CONFERENCE PROCEEDINGS, VOLS 1-7, 2002, :1125-1130
[14]   Fuzzy logic based unequal clustering for wireless sensor networks [J].
Logambigai, R. ;
Kannan, A. .
WIRELESS NETWORKS, 2016, 22 (03) :945-957
[15]   APPLICATION OF FUZZY LOGIC TO APPROXIMATE REASONING USING LINGUISTIC-SYNTHESIS [J].
MAMDANI, EH .
IEEE TRANSACTIONS ON COMPUTERS, 1977, 26 (12) :1182-1191
[16]   Distributed fuzzy approach to unequal clustering and routing algorithm for wireless sensor networks [J].
Mazumdar, Nabajyoti ;
Om, Hari .
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2018, 31 (12)
[17]  
Mehra Pawan Singh, 2018, Proceedings of First International Conference on Smart System, Innovations and Computing. SSIC 2017. Smart Innovation, Systems and Technologies (SIST 79), P887, DOI 10.1007/978-981-10-5828-8_83
[18]  
Mehra P. S., 2018, J KING SAUD U SCI
[19]   Stability Enhancement in LEACH (SE-LEACH) for Homogeneous WSN [J].
Mehra, Pawan Singh ;
Doja, M. N. ;
Alam, B. .
EAI ENDORSED TRANSACTIONS ON SCALABLE INFORMATION SYSTEMS, 2019, 6 (20)
[20]   ENHANCED CLUSTERING ALGORITHM BASED ON FUZZY LOGIC (E-CAFL) FOR WSN [J].
Mehra, Pawan Singh ;
Doja, Mohammad Najmud ;
Alam, Bashir .
SCALABLE COMPUTING-PRACTICE AND EXPERIENCE, 2019, 20 (01) :41-54