Performance Analysis of Linear Topology Wireless Sensor Network in Oil and Gas Industry

Lee, M. Y.; Azman, A. S.; Subramaniam, Siva Kumar; Feroz, Farah Shahnaz

doi:10.1088/1757-899x/765/1/012070

Cited by 7 publications

(6 citation statements)

References 7 publications

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“…The cluster head is responsible for transmitting the data to the destination node above another cluster head. The advantage of clustering architecture is it helps to lower the routing overhead and energy consumption and a network without node failure [22], [23] .…”

Section: A Flat One-tier Multi-hop Topologymentioning

confidence: 99%

Quad-Interleaving Routing Algorithm for Performance Enhancement of Oil and Gas Pipeline Network Monitoring

Rajamohan¹,

Subramaniam²,

Feroz³

et al. 2023

IJETAE

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The pipeline is one of the main modes oftransportation for the oil and gas industry that could be laid offshore and onshore. Pipeline transportation requires close monitoring as a failure in pipelines causes disruption of supply, loss of precious commodities and not to mention irreversible environmental damage will be an essential topic. The major issue in AODV and DSDV is when the network gets more extensive, which causes high packet traffic resulting in high packet loss, energy consumption and passive nodes. This research aims to establish a routing algorithm with better performance focusing on throughput, fairness index, delivery ratio and passive nodes and energy consumption. The study is confined to wireless sensor network simulation on Network Simulator Tool. A technique of quad-interleaving Ad-hoc On- demand Distance Vector (QAODV) routing algorithm has been developed where predefined Alpha, Beta, Charlie and Delta nodes will communicate with the nodes which belong to their family. The results of the developed routing protocol have been compared with standard AODV, DSDV and OLSR routing protocols. The developed routing algorithm has produced a massive improvement in the delivery ratio (25% more), throughput (44% more), passive nodes (71 less), fairness index (0.06 more) and energy consumption (0.22J less).

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Section: A Flat One-tier Multi-hop Topologymentioning

confidence: 99%

Quad-Interleaving Routing Algorithm for Performance Enhancement of Oil and Gas Pipeline Network Monitoring

Rajamohan¹,

Subramaniam²,

Feroz³

et al. 2023

IJETAE

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“…WSN for the oil and gas industry are deployed using a linear topology that keeps these sensors at a distance along linear pipelines [46]. This is due to the linear topology of oil and gas pipelines, and if the sensors are monitoring the pipe at a safe distance, the sensor network will also have a linear topology.…”

Section: Single-type Topologymentioning

confidence: 99%

“…Realistic Linear Scale-free network Small-world network Gas pipeline monitoring system [46] American Air Network System [90][35] The smart grid [93] Air route network [61] Modeling & optimization…”

Section: Large-scale Networkmentioning

confidence: 99%

A Survey on the Network Models applied in the Industrial Network Optimization

Chen¹,

Xiong²,

Xue³

et al. 2022

Preprint

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Network architecture design is very important for the optimization of industrial networks. The type of network architecture can be divided into small-scale network and large-scale network according to its scale. Graph theory is an efficient mathematical tool for network topology modeling. For small-scale networks, its structure often has regular topology. For large-scale networks, the existing research mainly focuses on the random characteristics of network nodes and edges. Recently, popular models include random networks, small-world networks and scale-free networks. Starting from the scale of network, this survey summarizes and analyzes the network modeling methods based on graph theory and the practical application in industrial scenarios. Furthermore, this survey proposes a novel network performance metric -system entropy. From the perspective of mathematical properties, the analysis of its non-negativity, monotonicity and concave-convexity is given. The advantage of system entropy is that it can cover the existing regular network, random network, small-world network and scale-free network, and has strong generality. The simulation results show that this metric can realize the comparison of various industrial networks under different models.

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“…In DSR [12], a complete list of nodes in sequence is attached in the packet header therefore network overhead is increased. AODV [13] is a reactive and loop-free routing protocol which is still considered relevant [14][15][16]. An optimization in AODV is proposed in [17] by formulating route weight.…”

Section: Imentioning

confidence: 99%

DyTE: An Effective Routing Protocol for VANET in Urban Scenarios

Kazi

Khan

2021

Eng. Technol. Appl. Sci. Res.

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A Vehicular Ad-hoc Network (VANET) is a subclass of wireless ad-hoc networks, widely used in on-road vehicles and roadside equipment, having applications in various areas including passenger safety, smart traffic solutions, and connectivity on vehicles The VANET is the backbone of the Intelligent Transport System (ITS) that establishes connectivity between vehicles through a wireless medium. When it comes to the communication between high-speed vehicles there is the challenge of dynamic mobility. In order to provide a higher Packet Delivery Ratio (PDR) and increase the throughput, a new routing protocol called Dynamic Trilateral Enrolment (DyTE) is introduced which chooses a dynamic trilateral zone to find the destination vehicle by allowing only relevant nodes to participate in the communication process using the location coordinates of source and destination nodes. The proposed routing protocol is compared with Ad-hoc On-demand Distance Vector (AODV), Ad-hoc On-demand Multipath Distance Vector (AOMDV), and Dynamic Source Routing (DSR), and the results show remarkable improvement in reducing the Network Routing Load (NRL) and increasing the PDR and throughput of the network. DyTE has performed more efficiently in terms of PDR (23% approximately), throughput (26% approximately) and drastically minimized the NRL by a factor of almost 3.

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Performance Analysis of Linear Topology Wireless Sensor Network in Oil and Gas Industry

Cited by 7 publications

References 7 publications

Quad-Interleaving Routing Algorithm for Performance Enhancement of Oil and Gas Pipeline Network Monitoring

Quad-Interleaving Routing Algorithm for Performance Enhancement of Oil and Gas Pipeline Network Monitoring

A Survey on the Network Models applied in the Industrial Network Optimization

DyTE: An Effective Routing Protocol for VANET in Urban Scenarios

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