Achieving uneven clustering in wireless sensor networks using fuzzy logic

被引：2
|
作者：
Bohra, Brahmdutt [1 ]
Kumar, Sarvesh [2 ]
Jain, Abhinav [3 ]
Aggarwal, Sandeep [4 ]
Gupta, Manoj Kumar [5 ]
机构：
[1] Vivekananda Global Univ, Dept Comp Sci & Engn, Jaipur, Rajasthan, India
[2] BBD Univ, Dept Comp Sci & Engn, Lucknow, Uttar Pradesh, India
[3] Singhania Univ, Dept Comp Sci & Engn, Pacheri Bari, India
[4] DAV Coll Abohar, Dept Comp Sci & Applicat, Abohar, India
[5] Chandigarh Engn Coll, Dept ME, Mohali, India
来源：
MATERIALS TODAY-PROCEEDINGS | 2022年 / 51卷
关键词：
Fuzzy logic; Clustering; WSN; CH election; Energy efficiency; Uneven clustering; LEACH;
D O I：
10.1016/j.matpr.2021.11.629
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The energy issues of Wireless Sensor Networks are mainly addressed through use of clustering and data aggregation. Of late, fuzzy logic is being employed for cluster head election. A recent work has designed fuzzy rules for both CH election and member selection. Though the idea is strong, it may leave a few nodes isolated. We present few modifications to existing work of unequal clustering through fuzzy logic so that the nodes left uncovered in the network get reduced or are included in cluster structure. Three modifications suggested here improve the performance of protocol by extending network lifetime manifold. Also, it gives insight into all such protocols that are based on principles of LEACH and use fuzzy logic for homogeneous networks. Copyright (C) 2022 Elsevier Ltd. All rights reserved.
引用
收藏
页码：2495 / 2499
页数：5
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