Dual-Tier Cluster-Based Routing in Mobile Wireless Sensor Network for IoT Application

被引:16
作者
Al-Sadoon, Maha Ebrahim [1 ]
Jedidi, Ahmed [2 ]
Al-Raweshidy, Hamed [3 ]
机构
[1] Ahlia Univ, Dept Comp Engn, Manama, Bahrain
[2] Sfax Univ, Natl Sch Engn, Sfax 3029, Tunisia
[3] Brunel Univ London, Dept Elect & Elect Engn, London UB8 3PH, England
关键词
Wireless sensor networks; Routing protocols; Internet of Things; Energy efficiency; Clustering algorithms; Network topology; Mobile wireless sensor network (MWSN); cluster-based routing; cluster head (CH); virtual zone; energy-efficient; PROTOCOL;
D O I
10.1109/ACCESS.2023.3235200
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Mobile wireless sensor network (MWSN) technology is a fundamental element of the Internet of Things (IoT) in which hundreds to thousands of sensor nodes (SNs) are connected via wireless channels capable of providing a digital interface to real-life objects. Energy consumption, connectivity, scalability, and security are the main challenges in MWSN, and mobility increases the effort required to find an efficient routing protocol to improve the MWSN performance. In this paper, we propose a novel routing protocol based on the dual-tier clustering concept and virtual network zones to improve MWSN performance. The proposed protocol named "Dual Tier Cluster-Based Routing " (DTC-BR) divides the network area into virtual zones which a cluster-head mechanism selects the most appropriate SN to act as Cluster Head (CH). Furthermore, virtual zones are designed to cover the entire network area based on a dual-tier routing mechanism: the main connectivity zone (MCZ) and candidate cluster zone (CCZ). The DTC-BR protocol was deployed and assessed using MATLAB, assuming three levels: energy consumption, network lifetime, and scalability. The comparative results demonstrate the efficiency of DTC-BR, where the network lifetime increased by 6%, 21%, 25%, and 37% compared to state-of-the-art dynamic directional routing (DDR), mobility-aware centralized clustering algorithm (MCCA), low-energy adaptive clustering hierarchy-mobile energy efficient and connected (LEACH-MEEC), and low-energy adaptive clustering hierarchy mobile (LEACH-M) protocols, respectively. In addition, the simulation results show that DTC-BR is more efficient for large network sizes and a high number of SNs.
引用
收藏
页码:4079 / 4094
页数:16
相关论文
共 45 条
[1]   A Novel Connectivity-Based LEACH-MEEC Routing Protocol for Mobile Wireless Sensor Network [J].
Ahmad, Muqeet ;
Li, Tianrui ;
Khan, Zahid ;
Khurshid, Faisal ;
Ahmad, Mushtaq .
SENSORS, 2018, 18 (12)
[2]   ARSH-FATI: A Novel Metaheuristic for Cluster Head Selection in Wireless Sensor Networks [J].
Ali, Haider ;
Tariq, Umair Ullah ;
Hussain, Mubashir ;
Lu, Liu ;
Panneerselvam, John ;
Zhai, Xiaojun .
IEEE SYSTEMS JOURNAL, 2021, 15 (02) :2386-2397
[3]   Dynamic directional routing for mobile wireless sensor networks [J].
Almesaeed, Reham ;
Jedidi, Ahmed .
AD HOC NETWORKS, 2021, 110
[4]  
Anitha R. U., 2013, Proceedings of the 2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering (PRIME), P187, DOI 10.1109/ICPRIME.2013.6496470
[5]   A survey on unequal clustering protocols in Wireless Sensor Networks [J].
Arjunan, Sariga ;
Sujatha, Pothula .
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2019, 31 (03) :304-317
[6]   An End-to-End Early Warning System Based on Wireless Sensor Network for Gas Leakage Detection in Industrial Facilities [J].
Bany Salameh, Haythem Ahmad ;
Dhainat, Mohammad Fozi ;
Benkhelifa, Elhadj .
IEEE SYSTEMS JOURNAL, 2021, 15 (04) :5135-5143
[7]  
Belabed F, 2017, INT WIREL COMMUN, P987, DOI 10.1109/IWCMC.2017.7986420
[8]  
Bensaid R, 2020, INT WIREL COMMUN, P126, DOI 10.1109/IWCMC48107.2020.9148077
[9]   Energy Aware Multi-Hop Routing Protocol for WSNs [J].
Cengiz, Korhan ;
Dag, Tamer .
IEEE ACCESS, 2018, 6 :2622-2633
[10]   A Joint Unsupervised Learning and Genetic Algorithm Approach for Topology Control in Energy-Efficient Ultra-Dense Wireless Sensor Networks [J].
Chang, Yuchao ;
Yuan, Xiaobing ;
Li, Baoqing ;
Niyato, Dusk ;
Al-Dhahir, Naofal .
IEEE COMMUNICATIONS LETTERS, 2018, 22 (11) :2370-2373