Lure: A simulator for networks of batteryless intermittent nodes

The emerging paradigm of batteryless intermittent sensor networks (BISNs) presents new challenges for researchers of low-power wireless systems and protocols. The nature of these challenges exacerbates the difficulty of evaluating networks of physical sensor nodes, making simulation an even more important component in evaluating performance metrics, such as communication throughput and delay, for BISN designs. To our knowledge, existing simulators and analytical models do not meet the unique needs of BISN research; therefore, we have created a new open-source BISN simulator named Lure . Lure is designed from the ground-up for simulation of batteryless intermittent systems and networks. Written in Python, Lure is powerful, flexible, highly configurable, and supports rapid prototyping of new protocols, systems, and applications, with a low learning curve. In this paper, we present Lure and validate it with experimental data to show that Lure can accurately reflect the reality of BISNs. We then demonstrate the process of applying Lure to research questions in select case studies.

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Publication Details

Journal
Performance Evaluation
Published
2024-08-23
DOI
https://doi.org/10.1016/j.peva.2024.102440
Citations
4
Primary Topic
Opportunistic and Delay-Tolerant Networks
Type
article
Field-Weighted Citation Impact
1.40

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article

Lure: A simulator for networks of batteryless intermittent nodes

Vishak Narayanan, Rohit Sahu, Mathew L. Wymore, Henry Duwe et al.
4 citations
Performance Evaluation
Opportunistic and Delay-Tolerant Networks
1.40
article

Lure: A simulator for networks of batteryless intermittent nodes

Vishak Narayanan, Rohit Sahu, Mathew L. Wymore, Henry Duwe, Daji Qiao, William Asiedu, Vishal Deep, Thomas T. Ruminski, Morgan Ambourn, Gregory Ling
article en
4 citations

Abstract

The emerging paradigm of batteryless intermittent sensor networks (BISNs) presents new challenges for researchers of low-power wireless systems and protocols. The nature of these challenges exacerbates the difficulty of evaluating networks of physical sensor nodes, making simulation an even more important component in evaluating performance metrics, such as communication throughput and delay, for BISN designs. To our knowledge, existing simulators and analytical models do not meet the unique needs of BISN research; therefore, we have created a new open-source BISN simulator named Lure . Lure is designed from the ground-up for simulation of batteryless intermittent systems and networks. Written in Python, Lure is powerful, flexible, highly configurable, and supports rapid prototyping of new protocols, systems, and applications, with a low learning curve. In this paper, we present Lure and validate it with experimental data to show that Lure can accurately reflect the reality of BISNs. We then demonstrate the process of applying Lure to research questions in select case studies.

Performance EvaluationVol. 166
Iowa State University (US)
National Science Foundation
Affordable and clean energy
Openalex Percentile: Top 17%
Opportunistic and Delay-Tolerant Networks
1.40
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Lure: A simulator for networks of batteryless intermittent nodes — Vishak Narayanan, Rohit Sahu, et al. · Performance Evaluation (2024) | TGRS Research Map | TGRS