MW-LEACH: Low energy adaptive clustering hierarchy approach for WSN

被引:26
作者
El Khediri, Salim [1 ,2 ]
Khan, Rehan Ullah [1 ,2 ]
Nasri, Nejah [3 ]
Kachouri, Abdennaceur [3 ]
机构
[1] Qassim Univ, Dept Informat Technol, Coll Comp, Buraydah, Saudi Arabia
[2] Qassim Univ, Coll Comp, Dept Informat Technol, Intelligent Analyt Grp IAG, Buraydah, Saudi Arabia
[3] Natl Engn Sch Sfax, Sfax 3038, Tunisia
关键词
fault tolerance; wireless sensor networks; routing protocols; telecommunication power management; energy consumption; MW-LEACH; multiple weight low energy adaptive clustering hierarchy protocol; cluster heads; member nodes; residual energy; base station; WSN; packet delivery; network lifetime; WIRELESS; PROTOCOL;
D O I
10.1049/iet-wss.2019.0195
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
The authors propose a novel multiple weight low energy adaptive clustering hierarchy (MW-LEACH) protocol for wireless sensor networks. In MW-LEACH, they select the cluster heads (CHs) based on the residual energy, the distances between the CHs, and an optimal number of member nodes. The nodes are selected from the initial set based on the high residual energy closer to the centre of the density, thus forming an initial set of CH candidates. The candidates then move in different directions to collect data from their members sending it to the base station. The proposed approach has lower complexity in terms of time and message. It is also fast and offers a longer lifetime for the network. It also provides a proper level of fault tolerance. In the experimental simulation evaluation, their approach outperforms state-of-the-art protocols based on performance metrics of throughput, energy consumption, packet delivery, network lifetime, and latency.
引用
收藏
页码:126 / 129
页数:4
相关论文
共 8 条
[1]   Optimal energy aware clustering in circular wireless sensor networks [J].
Arghavani, Mandi ;
Esmaeili, Mohammad ;
Esmaeili, Maryam ;
Mohseni, Farzad ;
Arghavani, Abbas .
AD HOC NETWORKS, 2017, 65 :91-98
[2]  
Baradaran A.A., 2019, FUZZY SETS SYST, P1
[3]   A New Approach for Clustering in Wireless Sensors Networks Based on LEACH [J].
El Khediri, Salim ;
Nasri, Nejah ;
Wei, Anne ;
Kachouri, Abdennaceur .
5TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT-2014), THE 4TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2014), 2014, 32 :1180-1185
[4]   An application-specific protocol architecture for wireless microsensor networks [J].
Heinzelman, WB ;
Chandrakasan, AP ;
Balakrishnan, H .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2002, 1 (04) :660-670
[5]   Improved metaheuristic based energy-efficient clustering protocol for wireless sensor networks [J].
Mann, Palvinder Singh ;
Singh, Satvir .
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2017, 57 :142-152
[6]   Optimised cross-layer synchronisation schemes for wireless sensor networks [J].
Nasri, Nejah ;
Ben Fradj, Awatef ;
Kachouri, Abdennaceur .
INTERNATIONAL JOURNAL OF ELECTRONICS, 2017, 104 (07) :1178-1189
[7]   MLBC: Multi-objective Load Balancing Clustering technique in Wireless Sensor Networks [J].
Randhawa, Sukhchandan ;
Jain, Sushma .
APPLIED SOFT COMPUTING, 2019, 74 :66-89
[8]   Load-balanced energy efficient clustering protocol for wireless sensor networks [J].
Siavoshi, Saman ;
Kavian, Yousef S. ;
Sharif, Hamid .
IET WIRELESS SENSOR SYSTEMS, 2016, 6 (03) :67-73