RaCH: A New Radial Cluster Head Selection Algorithm for Wireless Sensor Networks

被引:0
|
作者
Amine Kardi
Rachid Zagrouba
机构
[1] University of Tunis El Manar,Faculty of Mathematical, Physical and Natural Sciences of Tunis
[2] Imam Abdulrahman Bin Faisal University,College of Computer Science and Information Technology
来源
关键词
Wireless sensor networks; Algorithm; Cluster heads; Routing protocol; Cluster head selection;
D O I
暂无
中图分类号
学科分类号
摘要
This paper presents a radial cluster heads selection mechanism for homogenous wireless sensor networks. It aims to ensure a good load balancing and enhance the network lifetime. A performance comparison between LEACH, Mod_LEACH, Multi-Chain-PEGASIS, M-GEAR protocols and our proposal in term of network lifetime, stability/instability periods and the evolution of the number of cluster heads is carried out in this work. Obtained results show that developing an efficient cluster heads selection algorithm enhances considerably the network lifetime and the QoS in the network. Simulations results under NS3 simulator showed that our proposal can extend the network life more than 300% compared to the famous LEACH protocol and ensure a network lifetime of about 5000 rounds while it does not exceed 2500 rounds using M-GEAR.
引用
收藏
页码:2127 / 2140
页数:13
相关论文
共 50 条
  • [31] Setting up the threshold based on cluster head selection algorithm in wireless sensor networks
    Na C.-S.
    Cho H.-Y.
    Shin D.-R.
    ICETC 2010 - 2010 2nd International Conference on Education Technology and Computer, 2010, 4 : V439 - V442
  • [32] Cluster head selection using hesitant fuzzy and firefly algorithm in wireless sensor networks
    Mojgan Rayenizadeh
    Marjan Kuchaki Rafsanjani
    Arsham Borumand Saeid
    Evolving Systems, 2022, 13 : 65 - 84
  • [33] A modified cluster-head selection algorithm in wireless sensor networks based on LEACH
    Liang Zhao
    Shaocheng Qu
    Yufan Yi
    EURASIP Journal on Wireless Communications and Networking, 2018
  • [34] Cluster head selection using hesitant fuzzy and firefly algorithm in wireless sensor networks
    Rayenizadeh, Mojgan
    Rafsanjani, Marjan Kuchaki
    Saeid, Arsham Borumand
    EVOLVING SYSTEMS, 2022, 13 (01) : 65 - 84
  • [35] A genetic algorithm inspired optimized cluster head selection method in wireless sensor networks
    Sahoo, Biswa Mohan
    Pandey, Hari Mohan
    Amgoth, Tarachand
    SWARM AND EVOLUTIONARY COMPUTATION, 2022, 75
  • [36] BEACH: Balanced Energy and Adaptive Cluster Head Selection Algorithm for Wireless Sensor Networks
    Guravaiah, Koppala
    Velusamy, R. Leela
    AD HOC & SENSOR WIRELESS NETWORKS, 2018, 42 (3-4) : 199 - 225
  • [37] Cluster Head Selection for Equal Cluster Size in Wireless Sensor Networks
    Nam, Choon-Sung
    Ku, Yong-Ki
    Yoon, Jong-Wan
    Shin, Dong-Ryeol
    2009 INTERNATIONAL CONFERENCE ON NEW TRENDS IN INFORMATION AND SERVICE SCIENCE (NISS 2009), VOLS 1 AND 2, 2009, : 618 - 623
  • [38] Cluster Head Selection based on Neural Networks in Wireless Sensor Networks
    Sanhaji, Farah
    Satori, Hassan
    Satori, Khalis
    2019 INTERNATIONAL CONFERENCE ON WIRELESS TECHNOLOGIES, EMBEDDED AND INTELLIGENT SYSTEMS (WITS), 2019,
  • [39] A cluster head selection algorithm adopting sensing-awareness and sensor density for wireless sensor networks
    Jung, Eui-Hyun
    Lee, Sung-Ho
    Choi, Jae-Won
    Park, Yong-Jin
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2007, E90B (09) : 2472 - 2480
  • [40] An Efficient Cluster Head Selection and Aggregation for Wireless Sensor Networks
    Varalakshmi, P.
    Nandakumar, R.
    Umadevi, M.
    2014 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP), 2014,