Towards a Smart Highway Lighting System Based on Road Occupancy: Model Design and Simulation

Mustafa, Ahmad; Abubakr, Omar M.; Derbala, Ahmed H.; Ahmed, Essam Nabil; Mokhtar, Bassem

doi:10.1007/978-3-319-49622-1_4

Cited by 10 publications

(6 citation statements)

References 8 publications

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“…WSNs are used to detect the presence of vehicles along the road and to control lamps accordingly. Efficient localization considering obstacles like vehicles, trees enhances the performance of such systems [53].…”

Section: Number Of Target Nodes Localizedmentioning

confidence: 99%

Is Localization of Wireless Sensor Networks in Irregular Fields a Challenge?

Bhat

Santhosh

2020

Wireless Pers Commun

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Wireless sensor networks have been considered as an emerging technology for numerous applications of cyber-physical systems. These applications often require the deployment of sensor nodes in various anisotropic fields. Localization in anisotropic fields is a challenge because of the factors such as non-line of sight communications, irregularities of terrains, and network holes. Traditional localization techniques, when applied to anisotropic or irregular fields, result in colossal location estimation errors. To improve location estimations, this paper presents a comparative analysis of available localization techniques based on taxonomy framework. A detailed discussion on the importance of localization of sensor nodes in irregular fields from the reported real-life applications is presented along with challenges faced by existing localization techniques. Further, taxonomy based on techniques adopted by localization methods to address the effects of irregular fields on location estimations is reported. Finally, using the designed taxonomy framework, a comparative analysis of different localization techniques addressing irregularities and the directions towards the development of an optimal localization technique is addressed.

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Section: Number Of Target Nodes Localizedmentioning

confidence: 99%

Is Localization of Wireless Sensor Networks in Irregular Fields a Challenge?

Bhat

Santhosh

2020

Wireless Pers Commun

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“…The study in [16] introduces a preliminary design and a simulation for a smart highway lighting management system based on road occupancy. The proposed system utilises WSN for detecting the presence of vehicles along the road.…”

Section: Single-levelmentioning

confidence: 99%

“…Utilising adaptive dimming control strategies for smart streetlights has been investigated in the literature based on various methods. For instance, studies in [7,49,63,64] focus on pedestrian-based methods, [9,16,42,46,[65][66][67][68][69][70][71] focus on road traffic, while [19,21,72] consider both methods. Other work is also available proposing other methods such as time-based and environmental conditionbased, as discussed in the following.…”

Section: Adaptive Dimming Control Strategymentioning

confidence: 99%

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State‐of‐the‐art in smart streetlight systems: a review

et al. 2020

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The utilisation of smart streetlights is gaining more attention in urban planning, as it potentially reduces streetlights' operation and maintenance costs, offers additional benefits in terms of safety, security, efficiency, versatility, and scalability, and sets the stage for further smart city applications. This study provides an extensive overview of state-of-the-art research on smart streetlights from various perspectives, including smart city applications, communications, control strategies, and cybersecurity, with the objective of laying down a foundation for future improvements of smart streetlight systems as well as establishing a basis for comparing existing technologies.

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“…The system is evaluated through two different simulation studies: using a realistic model for vehicles traffic based on "Nagel-Shreckenberg" cellular automata (CA) model, and using state-of-the-art Simulation of Urban Mobility (SUMO) traffic simulator; expanding our study in [1] which presented the CA model-based simulation only. SUMO-based simulation is used to add more realistic traffic conditions and scenarios which are not covered in the CA model-based simulation and to study the impact of these conditions on our system performance evaluation.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of a Traffic-Aware Smart Highway Lighting System

Mustafa¹,

Abubakr²,

Derbala³

et al. 2017

ICST Transactions on Ubiquitous Environments

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Highway lighting consumes considerable amounts of energy, yet smart lighting techniques provide significant potential for reducing this consumption. This paper introduces a preliminary algorithm, simulation studies and a small-scale hardware prototype for a smart highway lighting management system based on road occupancy. Wireless Sensor Network (WSN) detects the presence of vehicles along the road, and controls lighting accordingly. The system is evaluated through two different simulation studies: using a realistic model for vehicles traffic based on cellular automata (Nagel-Shreckenberg model), and using state-of-the-art Simulation of Urban Mobility (SUMO) traffic simulator. Simulations provide estimation for expected energy saving rates at different cases and scenarios. According to simulation results, the proposed system can save up to 57.4% of power consumption compared to conventional lighting systems.

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Towards a Smart Highway Lighting System Based on Road Occupancy: Model Design and Simulation

Cited by 10 publications

References 8 publications

Is Localization of Wireless Sensor Networks in Irregular Fields a Challenge?

Is Localization of Wireless Sensor Networks in Irregular Fields a Challenge?

State‐of‐the‐art in smart streetlight systems: a review

Evaluation of a Traffic-Aware Smart Highway Lighting System

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