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

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 th...

Full description

Saved in:
Bibliographic Details
Published inComputers, materials & continua Vol. 67; no. 3; pp. 2989 - 3007
Main Authors Jalil Piran, Md, Verma, Sandeep, G. Menon, Varun, Young Suh, Doug
Format Journal Article
LanguageEnglish
Published Henderson Tech Science Press 01.01.2021
Subjects
Algorithms
Digital electronics
Electronic devices
Energy consumption
Environmental monitoring
Health care
Internet of Things
Linear programming
Nodes
Optimization models
Sensors
Smart buildings
Wireless communications
Wireless networks
Wireless sensor networks
Online AccessGet full text

Cover

More Information
Summary: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.
ISSN:1546-2226
1546-2218
1546-2226
DOI:10.32604/cmc.2021.015426