Network performance optimization using Odd and Even routing algorithm for pipeline network

Subramaniam, Siva Kumar; Nilavalan, R.; Balachandran, W.; Khan, Shariq Mahmood

doi:10.1109/ceec.2016.7835899

Cited by 5 publications

(11 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The oil and gas industry face numerous challenges especially in complying with frequently changing environmental regulations in a pipeline monitoring and management system. The exceptional need to monitor the unknown states on the oil and gas pipelines is essential for the industry to wisely optimize the running resources [16] [19]. The unknown states or threats of an oil and gas pipeline could affect pipeline integrity, safety, reliability and security whilst simultaneously meeting the demands on delivery schedules as well as optimizing the cost factor at the same time.…”

Section: Literature Review 21 Remote Monitoring Of Oil and Gas Pipelinesmentioning

confidence: 99%

Investigation and Implementation of IoT Based Oil & Gas Pipeline Monitoring System

Zurkanain¹,

Subramaniam²

2023

International Journal of Recent Technology and Applied Science

View full text Add to dashboard Cite

Wireless Sensor Networks (WSNs) involve top potential technologies that will dramatically change the way of human living and working. Many scientific, industrial and environmental applications require real time information related to physical events like pressure, temperature or humidity. In the past the only way to transfer the sensed data to control center was through cumbersome and costly wires. But recent advancement in wireless networking enables WSNs to communicate the sensed real time event data wirelessly. WSNs have capabilities of sensing, processing and communicating which make them most suitable for monitoring different on and gas industries upstream, midstream and downstream operations which help to increase production, decrease the accidents, maintenance cost and malfunctioning.

show abstract

Section: Literature Review 21 Remote Monitoring Of Oil and Gas Pipelinesmentioning

confidence: 99%

Investigation and Implementation of IoT Based Oil & Gas Pipeline Monitoring System

Zurkanain¹,

Subramaniam²

2023

International Journal of Recent Technology and Applied Science

View full text Add to dashboard Cite

show abstract

“…Depending on the neighbour congestion status, DyXY transmits data in either X or Y directions. The Odd-Even (OE) routing algorithm [18] is proposed to avoid dead-lock caused in XY routing. DyAD [19] is a hybrid routing algorithm which gives both static and adaptive routing conditions.…”

Section: B Related Workmentioning

confidence: 99%

Predicting Networks-on-Chip traffic congestion with Spiking Neural Networks

Javed

Harkin

McDaid

et al. 2021

Journal of Parallel and Distributed Computing

View full text Add to dashboard Cite

“…The most fundamental and crucial parameter measured in any wireless network is the packet delivery ratio that indicates the rate of receiving data packets over send data packets [10,13,14]. The packet delivery ratio in Fig.…”

Section: Packet Delivery Ratiomentioning

confidence: 99%

“…Generally, oil and gas pipelines can be categorised as a fixed infrastructure that is commonly stretched over an extensive distance from one point to another. This is the concept of chain communication over a series of intermediate nodes between detection points (sensing nodes) to the centralised monitoring station (receiving node) in order to transfer data as required by the user [13,14]. The static WSN comprises a sequence of source nodes (sensing points) that operate as hosts when changes are detected on a sensor and also act as routers in a communication path towards a destination node.…”

Section: Introduction and Background Work In Pipeline Networkmentioning

confidence: 99%

“…The drawback of DSR is higher overhead that makes it unreliable for long range multi-hop linear communication. The Destination-Sequence Distance-Vector routing protocol (DSDV) is a common proactive routing protocol [14,17,18]. There is a minimum delay between the route identification and route setup process in DSDV for an accessible path to a receiver node.…”

Section: Introduction and Background Work In Pipeline Networkmentioning

confidence: 99%

See 1 more Smart Citation

Static Network Performance Optimisation Using Dual Interleave Routing Algorithm

Subramaniam

Khan

Nilavalan

2018

IIUMEJ

Self Cite

View full text Add to dashboard Cite

In the recent years, there is an increasing demand on multi-hop wireless sensor networks (WSN) especially for remote condition and integrity monitoring of oil and gas pipelines. The sensing points are connected through WSN points, known as a wireless communication medium, between the remotely measured locations on a pipeline and a centralised monitoring station, located some distance away. Generally, WSN deployment on a multi-hop linear topology has critical factors that contribute towards overall degrading of network performance proportional to the number of nodes. This is especially true in highly dense networks. In general, such a drawback contributes towards poor network reliability, low network capacity, high latency, and inequality with snowballing effect, increasing in the direction of the destination node. This paper introduces the Dual Interleaving Linear Static Routing (DI-LSR) for a multi-hop linear network with high reliability and efficiency to significantly enhance the overall network performance of a pipeline network. The DI-LSR was tested and analysed according to IEEE 802.11 standard in a various simulation environment for future real-time deployment in a pipeline network. ABSTRAK: Sejak beberapa tahun kebelakangan ini, terdapat permintaan yang drastik pada rangkaian multi-hop sensor wayarles (WSN) terutamanya bagi pemantauan jarak jauh dan integriti saluran paip minyak dan gas. Kesemua unit pengesan antara lokasi disambung melalui satu saluran WSN yang dikenali sebagai medium komunikasi wayarles dan diukur ke stesen pemantauan berpusat. Penempatan WSN pada topologi linear multi-hop mempunyai faktor-faktor penyumbang kepada penurunan prestasi keseluruhan rangkaian yang berkadar dengan jumlah bilangan nod dalam rangkaian yang padat. Secara umum, kelemahan ini adalah penyumbang kepada kebolehpercayaan rangkaian, kapasiti rangkaian rendah, respon rangkaian tinggi dan faktor pendorong kesan ketidaksamaan terhadap nod destinasi. Kajian ini memperkenalkan Dual interleaving Linear Static Routing (DI-LSR) iaitu algoritma jalinan komunikasi cekap bagi mencapai peningkatan ketara keseluruhan prestasi dalam saluran paip rangkaian. DI-LSR telah diuji dan dianalisa dalam pelbagai persekitaran simulasi mengikut piawaian IEEE 802.11 bagi mengatur kedudukan pada masa depan saluran paip rangkaian.

show abstract

Network performance optimization using Odd and Even routing algorithm for pipeline network

Cited by 5 publications

References 14 publications

Investigation and Implementation of IoT Based Oil & Gas Pipeline Monitoring System

Investigation and Implementation of IoT Based Oil & Gas Pipeline Monitoring System

Predicting Networks-on-Chip traffic congestion with Spiking Neural Networks

Static Network Performance Optimisation Using Dual Interleave Routing Algorithm

Contact Info

Product

Resources

About