Performance Analysis of Hierarchical and Flat Network Routing Protocols in Wireless Sensor Network Using Ns-2

Jamatia, Anupam; Chakma, Kunal; Kar, Nirmalya; Rudrapal, Dwijen; Debbarmai, Swapan

doi:10.7763/ijmo.2015.v5.433

Cited by 9 publications

(10 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The average throughput value from all source nodes in the network [10,22] can be described as the network capacity to handle a specific data size in a given duration. The performance in a WSN is the ability to achieve higher throughput within the available network resource, which is a desirable goal in any network.…”

Section: Throughputmentioning

confidence: 99%

“…Fairness or data transfer equality in a multi-hop linear topology is a crucial factor from the perspective of network stability and scalability. The scalar measurement of resources (data packets) allocation discrimination among all source nodes [22] is known as the throughput fairness index. Achieving the optimum throughput fairness index is a challenging task for the routing algorithm in multi-hop linear wireless networks, particularly in a large scale implementation.…”

Section: Fairness Indexmentioning

confidence: 99%

“…The multi-hop routing algorithm takes into account all possible paths between nodes in a network with the shortest path. The data merging technique prior to transmission to the receiver node through a specific cluster head on a multi-tier cluster-based topology is designed to reduce actual data packet transmission in a wireless network [21,22]. The Power-Efficient Node Placement Scheme (PENPS) is based on optimisation of node and distance to diverse route loss parameters on a linear WSN [23].…”

Section: Introduction and Background Work In Pipeline Networkmentioning

confidence: 99%

“…Due to the unique geographical terrain and data accumulation factor in a single path, communication contributes to the occurrence of nodes without data transmission opportunity (passive nodes) between the sender and a receiver node [19,20]. Most of the traditional dynamic and hybrid routing protocols have different characteristics from network initialization to a route discovery process [12,21,22]. One of the crucial factors in a multi-hop linear communication is queue overwhelming from both data and control packets that lead to a bottleneck point in the network.…”

Section: Introduction and Background Work In Pipeline Networkmentioning

confidence: 99%

See 3 more Smart Citations

Static Network Performance Optimisation Using Dual Interleave Routing Algorithm

Subramaniam

Khan

Nilavalan

2018

IIUMEJ

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

Section: Throughputmentioning

confidence: 99%

Section: Fairness Indexmentioning

confidence: 99%

Section: Introduction and Background Work In Pipeline Networkmentioning

confidence: 99%

Section: Introduction and Background Work In Pipeline Networkmentioning

confidence: 99%

See 2 more Smart Citations

Static Network Performance Optimisation Using Dual Interleave Routing Algorithm

Subramaniam

Khan

Nilavalan

2018

IIUMEJ

View full text Add to dashboard Cite

show abstract

“…The transportion of a valuable data from the chain-like sensor arrays to the monitoring station, a routing algorithm predefines a communication path between sensor nodes to a destination node on a multi-hop linear topology. Thus, full deployment of WSN on pipeline network prompts to a series of performance related issues especially on resources sharing among source nodes [4][5][6][7]. Generally, a multi-hop linear WSN has severe performance degradation issues especially on network fairness using the Transmission Control Protocol (TCP) [8][9][10].…”

mentioning

confidence: 99%

Tcp Performance and Throughput Fairness Optimization in a Multi-Hop Pipeline Network

2019

IJRTE

View full text Add to dashboard Cite

Node starvation wireless sensor network (WSN) is a critical factor that affects the overall performance in a typical multi-hop linear network especially in an extensive scale network. The unfairness of sharing network resources with all source nodes in a multi-hop linear network amplifies the node starvation that often results in passive nodes in a network. This factor becomes critical with the increasing network density, aggressive data transfer, single destination node and inadequate data scheduling. This paper highlights the Delayed acknowledgement timeout for flat one-tier throughput critical application model (DAT-FTCAM) a mathematical fairness model that ensure maximum throughput fairness for pipeline network scenario. The DAT-FTCAM enables the users to calculate the maximum delayed acknowledgement timeout for transmission control protocol (TCP) proportional to the travel time or difference between a source and a destination node. The implementation of DAT-FTCAM technique with modified TCP parameters on NS2 has revealed a network fairness index of above 0.99 with optimum network performance in a scalable pipeline network. The DAT-FTCAM decreases data packet collision and eliminates passive nodes in a pipeline network with optimum throughput fairness.

show abstract

Performance Analysis of Routing Protocols in Wireless Sensor Networks

Ahamed

Mir

2019

Advances in Intelligent Systems and Computing

View full text Add to dashboard Cite

Performance Analysis of Hierarchical and Flat Network Routing Protocols in Wireless Sensor Network Using Ns-2

Cited by 9 publications

References 10 publications

Static Network Performance Optimisation Using Dual Interleave Routing Algorithm

Static Network Performance Optimisation Using Dual Interleave Routing Algorithm

Tcp Performance and Throughput Fairness Optimization in a Multi-Hop Pipeline Network

Performance Analysis of Routing Protocols in Wireless Sensor Networks

Contact Info

Product

Resources

About