Robust Cluster-Based Routing Protocol for IoT-Assisted Smart Devices in WSN

被引:31
|
作者
Shafiq, Maryam [1 ]
Ashraf, Humaira [1 ]
Ullah, Ata [2 ]
Masud, Mehedi [3 ]
Azeem, Muhammad [2 ]
Jhanjhi, N. Z. [4 ]
Humayun, Mamoona [5 ]
机构
[1] Int Islamic Univ Islamabad, Dept Comp Sci & Software Engn, Islamabad, Pakistan
[2] Natl Univ Modern Languages, Dept Comp Sci, Islamabad, Pakistan
[3] Taif Univ, Dept Comp Sci, Coll Comp & Informat Technol, At Taif 21944, Saudi Arabia
[4] Taylors Univ, Sch Comp Sci & Engn SCE, Subang Jaya, Selangor, Malaysia
[5] Jouf Univ, Dept Informat Syst, Coll Comp & Informat Sci, Al Jouf, Saudi Arabia
来源
CMC-COMPUTERS MATERIALS & CONTINUA | 2021年 / 67卷 / 03期
关键词
Energy efficiency routing; load balancing; cluster selection; WIRELESS SENSOR NETWORKS; ENERGY-EFFICIENT; MANAGEMENT; INTERNET; HYBRID; TRUST; RPL;
D O I
10.32604/cmc.2021.015533
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The Internet of Things (IoT) is gaining attention because of its broad applicability, especially by integrating smart devices for massive communication during sensing tasks. IoT-assisted Wireless Sensor Networks (WSN) are suitable for various applications like industrial monitoring, agriculture, and transportation. In this regard, routing is challenging to find an efficient path using smart devices for transmitting the packets towards big data repositories while ensuring efficient energy utilization. This paper presents the Robust Cluster Based Routing Protocol (RCBRP) to identify the routing paths where less energy is consumed to enhances the network lifespan. The scheme is presented in six phases to explore flow and communication. We propose the two algorithms: i) energy-efficient clustering and routing algorithm and ii) distance and energy consumption calculation algorithm. The scheme consumes less energy and balances the load by clustering the smart devices. Our work is validated through extensive simulation using Matlab. Results elucidate the dominance of the proposed scheme is compared to counterparts in terms of energy consumption, the number of packets received at BS and the number of active and dead nodes. In the future, we shall consider edge computing to analyze the performance of robust clustering.
引用
收藏
页码:3505 / 3521
页数:17
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