Open Access

ARTICLE

Energy-Efficient Transmission Range Optimization Model for WSN-Based Internet of Things

Md. Jalil Piran¹, Sandeep Verma², Varun G. Menon³, Doug Young Suh^4,*

1 Department of Computer Science and Engineering, Sejong University, Seoul, Korea
2 Department of Electronics and Communication Engineering, D.B.R.A. National Institute of Technology, Jalandhar, India
3 SCMS School of Engineering and Technology, Ernakulam, India
4 Department of Electronics Engineer, Kyung Hee University, Yongin, Korea

* Corresponding Author: Doug Young Suh. Email:

(This article belongs to this Special Issue: Green IoT Networks using Machine Learning, Deep Learning Models)

Computers, Materials & Continua 2021, 67(3), 2989-3007. https://doi.org/10.32604/cmc.2021.015426

Received 02 November 2020; Accepted 10 December 2020; Issue published 01 March 2021

Abstract

With the explosive advancements in wireless communications and digital electronics, some tiny devices, sensors, became a part of our daily life in numerous fields. Wireless sensor networks (WSNs) is composed of tiny sensor devices. WSNs have emerged as a key technology enabling the realization of the Internet of Things (IoT). In particular, the sensor-based revolution of WSN-based IoT has led to considerable technological growth in nearly all circles of our life such as smart cities, smart homes, smart healthcare, security applications, environmental monitoring, etc. However, the limitations of energy, communication range, and computational resources are bottlenecks to the widespread applications of this technology. In order to tackle these issues, in this paper, we propose an Energy-efficient Transmission Range Optimized Model for IoT (ETROMI), which can optimize the transmission range of the sensor nodes to curb the hot-spot problem occurring in multi-hop communication. In particular, we maximize the transmission range by employing linear programming to alleviate the sensor nodes’ energy consumption and considerably enhance the network longevity compared to that achievable using state-of-the-art algorithms. Through extensive simulation results, we demonstrate the superiority of the proposed model. ETROMI is expected to be extensively used for various smart city, smart home, and smart healthcare applications in which the transmission range of the sensor nodes is a key concern.

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Citations