A hybrid fault-tolerant routing based on Gaussian network for wireless sensor network

Quoc, Dung Nguyen; Liu, Niansheng; Guo, Donghui

doi:10.23919/jcn.2021.000028

Cited by 34 publications

(12 citation statements)

References 37 publications

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“…An enhanced "fault-tolerant clustering routing algorithm established on a gaussian network for WSNs" (FCGW) is proposed in Ref. 48. Here the "geographic adaptive fidelity" (GAF) technique will be used to partition the random sensors into virtual grids (clusters).…”

Section: Comparative Study Of Enhanced Energy Efficient Protocols For...mentioning

confidence: 99%

A comprehensive review of energy efficient routing protocols for query driven wireless sensor networks

Bekal,

Kumar,

Mane

et al. 2024

F1000Res

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In this current era of communications and networking, The Internet of things plays the main role in the making of smart communication and networking. In this article, we have focused on the literature survey on wireless sensor networks which are energy efficient. Various standard protocols are reviewed along with some enhanced protocols which makes the network energy efficient. The comparison of the standard and enhanced protocols with respect to various applications in wireless sensor networks is thoroughly done in this article. The outcomes of the enhanced protocols are also briefly discussed. For easier analysis to future researchers, a comparative table which lists the enhanced protocols which are compared with standard counterparts along with the factors for energy efficiency of the protocols. This article also comments on the issues and challenges of the protocols which can be further analyzed for making the wireless sensor network more energy efficient.

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Section: Comparative Study Of Enhanced Energy Efficient Protocols For...mentioning

confidence: 99%

A comprehensive review of energy efficient routing protocols for query driven wireless sensor networks

Bekal,

Kumar,

Mane

et al. 2024

F1000Res

View full text Add to dashboard Cite

show abstract

“…FCGW was proposed as a fault-tolerant CBR scheme that relies on multi-path routing, symmetric link formation, Gaussian network architecture, and square-shaped cluster formation (Quoc et al, 2022). The LF field is divided into virtual square grids (or clusters) while Gaussian integers are used for electing the HCLs and MS are employed for distributed load balancing and network density re-adjustment.…”

Section: Related Workmentioning

confidence: 99%

“…The LF field is divided into virtual square grids (or clusters) while Gaussian integers are used for electing the HCLs and MS are employed for distributed load balancing and network density re-adjustment. Shortest inter-cluster distance costs are computed for end-to-end data transmission with the aid of multiple path formation in the Gaussian network (Quoc et al, 2022). The limitations of this CBR scheme are the broadcast overhead issues and large delay associated with establishing long-range transmissions in the Gaussian network architecture.…”

Section: Related Workmentioning

confidence: 99%

“…Researchers have proposed a wide range of generic (Sivakumar et al, 1999;Heinzelman et al, 2000;Heinzelman et al, 2002;Bandyopadhyay and Coyle, 2003;Ding et al, 2005;Huang and Wu, 2005;Lotfinezhad and Liang, 2005;Neethirajan, 2017) and specific (Rahmatizadeh et al, 2014;Asmaa et al, 2016;Nitesh et al, 2017;Yue et al, 2018;Zhang et al, 2018;Behera et al, 2019;Huang et al, 2020;Gnanasekera et al, 2021;Lin et al, 2021;Hu et al, 2022;Quoc et al, 2022) routing techniques to address these issues. Among the proffered techniques, clusterbased routing (CBR) strategies have relatively exhibited better network resilience, connectivity, adaptability, reliability, energyefficiency, and computational simplicity (Salami et al, 2009;Salami et al, 2010;Astakhova, 2020;Alanezi et al, 2022b).…”

Section: Introductionmentioning

confidence: 99%

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RUBER: Recoverable UAV-based energy-efficient reconfigurable routing scheme for smart wireless livestock sensor network

Alanezi

Salami²,

Sha’aban³

et al. 2022

Front. Energy Res.

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This paper is a sequel to a previous article by the authors in which UAV-based energy-efficient reconfigurable routing (UBER) scheme was proposed to address coverage loss and rapid energy depletion issues for smart wireless livestock sensor networks. Sensor node and route failure issues associated with the UBER scheme are therefore addressed in this research by proposing a recoverable UAV-based energy-efficient reconfigurable routing (RUBER) scheme. RUBER scheme relies on an efficient fault detection and recycling technique, dynamic recovery mechanism, and robust route maintenance technique. Performance of RUBER was analyzed under low, medium and high failure rate network conditions. Performance indices employed for this assessment are failure detection ratio (FDR), failure recovery ratio (FRR), load balancing ratio (LBR), and packet delivery ratio (PDR). Analysis results demonstrated that keeping the failure rate below 10% led to performance improvements of 60.96%, 74.14%, 64.68%, and 60.74% for FDR, FRR, LBR, and PDR, respectively. Performance comparison of RUBER was conducted against UBER and hybrid heterogeneous routing (HYBRID) schemes. Performance metrics utilized for this comparative evaluation are average routing delay (ARD), energy dissipation ratio (EDR), routing overhead (ROH), fault tolerance index (FTI), nodal failure recovered (NFR), route failure recovered (RFR), and cluster survival ratio (CSR). With respect to best-case values, RUBER exhibited gains of 79.67%, 44.98%, 67.88%, 74.90%, 52.20%, 70.56%, and 52.52% over UBER and HYBRID in terms of ARD, EDR, ROH, FTI, NFR, RFR, and CSR respectively. Simulation experiments revealed the relative competitiveness of the RUBER scheme against the benchmarked schemes.

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“…In addition to power consumption there are other important metrics to WSNs such as data reliability, memory constraints, data latency, network security, low cost etc. which are also challenging to address [13] [14]. To address these challenges, various protocols come into picture that integrate the understanding of power and routing, data The major drawback of wireless sensor networks is that once deployed, it becomes extremely difficult or rather impossible to perform maintenance such as recharging, repairing, or replacing the sensor nodes in the event that a fault develops in one or more sensor nodes.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of an Energy Efficient Algorithm for Wireless Sensor Networks

Roy,

Kumar

2023

J. Phys.: Conf. Ser.

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Wireless Sensor Networks are defined as a group of sensors that are spread over an area to gather data in a coordinated manner and send it to the sink where it is further processed and used for the application. The application could be as simple as gathering information from different parts of a confined accessible area or as extreme as tracking of wild animals of concern around a widely spread rainforest. The wide range of applicability of wireless sensor networks suggests that often, the sensors once deployed might not be accessible ever again and hence it becomes important to ensure that the sensors once deployed are functional for as long as possible. One of the hurdles in enhancing the functional lifetime of sensors is the energy consumption at the sensor level which can be broadly attributed to mainly two reasons: sensing and communicating; wherein the latter takes the bigger chunk. So, the goal would be to try and push the boundary viz-a-viz energy efficiency at the individual sensor nodes and enhance the lifetime of a WSN. In this paper, simulations have been carried out by varying the position of the base node to determine the number of rounds till which the network remains fully functional. It is found out that positioning the base node at the network centre significantly increases the rounds till which the network sustains as compared to positioning the node at a distance.

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A hybrid fault-tolerant routing based on Gaussian network for wireless sensor network

Abstract: Article that has been accepted for inclusion in a future issue of a journal. Content is final as presented, with the exception of pagination.

Cited by 34 publications

References 37 publications

A comprehensive review of energy efficient routing protocols for query driven wireless sensor networks

A comprehensive review of energy efficient routing protocols for query driven wireless sensor networks

RUBER: Recoverable UAV-based energy-efficient reconfigurable routing scheme for smart wireless livestock sensor network

A Comparative Study of an Energy Efficient Algorithm for Wireless Sensor Networks

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