A Lightweight Three Dimensional Redeployment Algorithm for Distributed Mobile Wireless Sensor Networks

Nadia Boufares

doi:10.1007/s11277-024-11078-3

A Lightweight Three Dimensional Redeployment Algorithm for Distributed Mobile Wireless Sensor Networks

2024-05-04

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Leı̈la Azouz Saı̈dane

DOI：10.1007/s11277-024-11078-3

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In recent years, there has been significant growth in mobile wireless sensor networks (WSNs), yet prevailing research has primarily focused on 2D planar deployments, overlooking the importance of three-dimensional (3D) coverage in various applications. This oversight leads to ineffective data gathering due to incomplete area coverage and network connectivity. In previous researches (Boufares et al. in: 2018 31 IEEE/ACS 15th international conference on computer systems and applications (AICCSA), Aqaba, Jordan, pp 1-8, 2018, in: 13th international wireless communications and mobile computing conference (IWCMC), Valencia, pp 1628-1633, 2017, in: IEEE wireless communications and mobile computing conference (IWCMC), Dubrovnik, Croatia, pp 563-568, 2015a, in: the 4th international conference on performance evaluation and modeling in wired and wireless networks (PEMWN), Hammamet, Tunisia, pp 103-108, 2015b), we proposed 3D mobile autonomous redeployment strategies based on the Virtual Forces Algorithm, tailored for diverse configurations: 3D volume applications such as smart homes or agriculture, 3D flat surfaces like snow monitoring, and 3D terrain surfaces like volcano monitoring. Our approach ensured complete coverage and connectivity in these scenarios. Moreover, energy efficiency emerges as a critical concern, given the autonomous and mobile nature of sensor nodes operating on finite battery power. Hence, in this paper, we provide an overview of our previous results, highlighting the efficacy of our 3D mobile autonomous redeployment strategies across various configurations. Subsequently, we delve into an in-depth analysis of the energy consumption associated with the different proposed contributions. Building upon these insights, we propose an energy harvesting approach aimed at extending the operational lifespan of mobile 3D WSNs, thus ensuring sustained functionality in diverse real-world applications.Through these contributions, we address critical challenges and pave the way for improved performance in modern sensor network applications.

Keywords:

3D distributed autonomous mobile wireless sensor networks

Coverage and connectivity

Virtual forces

Energy consumption

Energy harvesting

RF power splitting

A Lightweight Three Dimensional Redeployment Algorithm for Distributed Mobile Wireless Sensor Networks

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