Two-Layer Optimized Railway Monitoring System Using Wi-Fi and ZigBee Interfaced Wireless Sensor Network

Tolani, Manoj; Kumar, Suraj; Singh, Rajat Kumar; Shubham, Kumar; Kumar, Rajesh

doi:10.1109/jsen.2017.2658730

Cited by 26 publications

(4 citation statements)

References 8 publications

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“…Efficient resource allocation is crucial in the multi-tiered heterogeneous wireless network, with various users demanding flexible services [5].High computational services require computing devices [8]with high processing power. Each computing device has its interfaces [16], and each interface has its heterogeneous resources [17]. Challenges include efficient spectrum utilization, interference management, and latency reduction [18].…”

Section: Literature Reviewmentioning

confidence: 99%

Framework for Optimized Resource Allocation in Multi-User, Multi-Service, Multi-Device Aerial Networks

Mushtaq,

Chughtai,

Zhang

et al. 2024

IEEE Access

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With the increasing prevalence of multi-user, multi-service, and heterogeneous multi-device environments, there is a need to address the imperative for efficient resource allocation in contemporary wireless networks, such as those involving unmanned aerial vehicles (UAVs) or drones. In this regard, this work addresses the challenges within a five-dimensional heterogeneous wireless network model, focusing on diverse services such as Big Data Analytics, Video Rendering, and Computer-Aided Design, and the allocation of resources among heterogeneous devices, including UAVs, tethered balloons, and multi-rotors. The resource allocation is facilitated through multiple interfaces like LTE, Wifi, LoRa, and Sigfox, catering to the diverse needs of users operating in aerial Networks. Additionally, this work introduces a novel Intelligent Relaxation using the Penalty Function (IRPF) approach for resource allocation, treating it as an integer programming problem to balance user needs while ensuring affordability. A comparative analysis is conducted between the proposed approach and the traditional branch-and-bound algorithm. In scenarios requiring resource allocation for numerous services based on user demand and device capabilities, the proposed work presents a penalty-based integrality gap solution adept at managing fractional values. The resulting optimization framework is meticulously designed to minimize activation and operating costs while optimizing utility. Additionally, the computing efficiency of the proposed approach is demonstrated by extensive simulations that prove its superiority over the traditional algorithm. Consequently, this research emphasizes the essential role of the proposed model in navigating the intricate challenges of resource allocation in modern drone-centric wireless networks.

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Section: Literature Reviewmentioning

confidence: 99%

Framework for Optimized Resource Allocation in Multi-User, Multi-Service, Multi-Device Aerial Networks

Mushtaq,

Chughtai,

Zhang

et al. 2024

IEEE Access

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“…Multiple works analyse the challenges of designing and implementing WSNs in the railway environment [25][26][27][28][29]. However, they do not take into consideration the safety norms that govern the railway industry, information from the network and, generally, it is more robust and has greater consumption supply than the other peers in the network.…”

Section: Wireless Sensors For Railway Industrymentioning

confidence: 99%

Comparison Between Reactive and Proactive Protocols of Wireless Sensor Networks: Railway Application

Del-Valle-Soto¹,

Valdivia

Velazquez³

2019

PROMET

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Railway is a critical application; hence, all systems that compose the railway infrastructure must meet two conditions: availability and safety. The availability ensures continuous operation of the system; on the other hand, safety is achieved when the device works properly regardless of the environmental or operating conditions. In addition, Wireless Sensor Networks (WSN) are used to perform tasks previously performed manually. However, it is necessary to analyse what protocol is appropriate for the railway industry, since availability and safety are the required attributes. In this work, a recently proposed routing protocol, the Multi-Parent Hierarchical (MPH), has been compared with a well-known protocol, the Ad-hoc On-Demand Distance Vector (AODV), in order to find the most suitable one for the railway applications. For this purpose, a simulator has been developed, which faithfully reifies the workings of a given protocol, considering a fixed, reconfigurable ad-hoc network given by the number and location of participants, and general network conditions.

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“…With the acceleration of urban modernization, people pay more attention to improving safety control awareness. The monitoring system has become essential to ensure people’s daily travel and traffic safety [ 1 ]. The transformation from video surveillance to digital data surveillance has also added multiple changes to this field.…”

Section: Introductionmentioning

confidence: 99%

Energy Optimization of Wireless Sensor Embedded Cloud Computing Data Monitoring System in 6G Environment

Yang

Zhang

Liu

et al. 2023

Sensors

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With the construction and development of modern and smart cities, people’s lives are becoming more intelligent and diversified. Surveillance systems increasingly play an active role in target tracking, vehicle identification, traffic management, etc. In the 6G network environment, facing the massive and large-scale data information in the monitoring system, it is difficult for the ordinary processing platform to meet this computing demand. This paper provides a data governance solution based on a 6G environment. The shortcomings of critical technologies in wireless sensor networks are addressed through ZigBee energy optimization to address the shortage of energy supply and high energy consumption in the practical application of wireless sensor networks. At the same time, this improved routing algorithm is combined with embedded cloud computing to optimize the monitoring system and achieve efficient data processing. The ZigBee-optimized wireless sensor network consumes less energy in practice and also increases the service life of the network, as proven by research and experiments. This optimized data monitoring system ensures data security and reliability.

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Two-Layer Optimized Railway Monitoring System Using Wi-Fi and ZigBee Interfaced Wireless Sensor Network

Cited by 26 publications

References 8 publications

Framework for Optimized Resource Allocation in Multi-User, Multi-Service, Multi-Device Aerial Networks

Framework for Optimized Resource Allocation in Multi-User, Multi-Service, Multi-Device Aerial Networks

Comparison Between Reactive and Proactive Protocols of Wireless Sensor Networks: Railway Application

Energy Optimization of Wireless Sensor Embedded Cloud Computing Data Monitoring System in 6G Environment

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