A Fuzzy Based Energy Aware Unequal Clustering for Wireless Sensor Networks

被引：10
|
作者：
Khriji, Sabrine [1 ,2 ]
El Houssaini, Dhouha [1 ,3 ]
Kammoun, Ines [2 ]
Kanoun, Olfa [1 ]
机构：
[1] Tech Univ Chemnitz, Measurement & Sensor Technol, Chemnitz, Germany
[2] Univ Sfax, Natl Sch Engineers Sfax, LETI Lab, Sfax, Tunisia
[3] Univ Sousse, Ctr Res Microelect & Nanotechnol, Technopk Sousse, Sousse, Tunisia
来源：
AD-HOC, MOBILE, AND WIRELESS NETWORKS (ADHOC-NOW 2018) | 2018年 / 11104卷
关键词：
Wireless sensor networks; Unequal clustering; Multi-hop communication; Optimal cluster radius; Fuzzy logic;
D O I：
10.1007/978-3-030-00247-3_12
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
One of the most important issues in wireless sensor networks is energy autonomy. Thereby wireless communication leads to excessive demands of energy. In this paper, a fuzzy based energy aware unequal clustering algorithm is presented. The network is partitioned into certain number of rings. An energy analysis model is proposed to measure the optimal radius of each cluster. This enables to vary the size of clusters from one ring to another, which ensures the load balance of the network. Then, a fuzzy logic system is employed to select suitable cluster head. The fuzzy set relies only on three parameters; residual energy, number of neighboring nodes and centrality of node among its neighbors. The proposed algorithm outperforms other clustering approaches, like LEACH, DUCF and MCFL in terms of energy efficiency and network lifetime.
引用
收藏
页码：126 / 131
页数：6
相关论文
共 50 条
  • [31] Energy aware routing based on adaptive clustering mechanism for wireless sensor networks
    Yi, S
    Park, G
    Heo, J
    Hong, J
    Jeon, G
    Cho, Y
    [J]. NETWORKING AND MOBILE COMPUTING, PROCEEDINGS, 2005, 3619 : 1115 - 1124
  • [32] Metaheuristic Optimization Based Energy Aware Clustering Scheme for Wireless Sensor Networks
    Pushpa, G.
    Kannan, S.
    [J]. AD HOC & SENSOR WIRELESS NETWORKS, 2024, 58 (3-4) : 175 - 194
  • [33] Energy-balanced unequal clustering protocol for wireless sensor networks
    Jiang, Chang-Jiang
    Shi, Wei-Ren
    Xiang, Min
    Tang, Xian-Lun
    [J]. Journal of China Universities of Posts and Telecommunications, 2010, 17 (04): : 94 - 99
  • [34] Energy-balanced unequal clustering protocol for wireless sensor networks
    JIANG Chang-jiang1
    [J]. The Journal of China Universities of Posts and Telecommunications, 2010, 17 (04) : 94 - 99
  • [35] HEEC: a hybrid unequal energy efficient clustering for wireless sensor networks
    Seyed Mostafa Bozorgi
    Amir Massoud Bidgoli
    [J]. Wireless Networks, 2019, 25 : 4751 - 4772
  • [36] Energy Efficient Unequal Clustering and Routing Algorithms for Wireless Sensor Networks
    Jannu, Srikanth
    Jana, Prasanta K.
    [J]. 2014 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2014, : 2091 - 2097
  • [37] HEEC: a hybrid unequal energy efficient clustering for wireless sensor networks
    Bozorgi, Seyed Mostafa
    Bidgoli, Amir Massoud
    [J]. WIRELESS NETWORKS, 2019, 25 (08) : 4751 - 4772
  • [38] Distributed energy efficient unequal clustering algorithm for wireless sensor networks
    Shang, Feng-Jun
    Abolhasan, Mehran
    Wysocki, Tadeusz
    [J]. Tongxin Xuebao/Journal on Communication, 2009, 30 (10): : 34 - 43
  • [39] An energy-aware distributed clustering protocol in wireless sensor networks using fuzzy logic
    Taheri, Hoda
    Neamatollahi, Peyman
    Younis, Ossama Mohamed
    Naghibzadeh, Shahrzad
    Yaghmaee, Mohammad Hossein
    [J]. AD HOC NETWORKS, 2012, 10 (07) : 1469 - 1481
  • [40] Distributed fuzzy approach to unequal clustering and routing algorithm for wireless sensor networks
    Mazumdar, Nabajyoti
    Om, Hari
    [J]. INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2018, 31 (12)
12345