Towards Sustainable Distributed Sensor Networks: An Approach for Addressing Power Limitation Issues in WSNs

Author:

Alaerjan AlaaORCID

Abstract

Distributed wireless sensor networks (WSNs) have been implemented in multiple applications. Those networks are intended to support the quality of operations and enhance applications’ productivity and safety. WSNs are constructed of a large amount of sensor nodes that are battery powered. Typically, wireless sensors are deployed in complex terrain which makes battery replacement extremely difficult. Therefore, it is critical to adopt an energy sustainability approach to enhance the lifetime of each sensor node since each node contributes to the lifetime of the entire WSN. In this work, we propose an approach to reduce power consumption in wireless sensors. The approach addresses power reduction in a sensor node at the sensing level, as well as the communication level. First, we propose configuring the microcontroller of the sensor to conserve energy based on the performed tasks. Then, we implement an interface to reduce consumed power by the radio module. Based on the approach, we carried out field experiments and we measure the improvement of power-consumption reduction. The results show that the approach contributes to saving up to 50% of the wasted energy at the sensor node and it improves communication reliability especially when the number of sensors in a network scales.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference46 articles.

1. Understanding the IoT Connectivity Landscape: A Contemporary M2M Radio Technology Roadmap;Andreev;IEEE Commun. Mag.,2015

2. Model-Driven Interoperability Layer for Normalized Connectivity Across Smart Grid Domains;Alaerjan;IEEE Access,2021

3. IoT Connectivity Technologies and Applications:A Survey;Ding;IEEE Access,2020

4. Network-State-Aware Quality of Service Provisioning for the Internet of Things;Chaudhry;Int. J. Adv. Comput. Sci. Appl.,2016

5. Towards Understanding Internet of Things Security and its Empirical Vulnerabilities: A Survey;Bouanani;Int. J. Adv. Comput. Sci. Appl.,2019

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