Fuzzy rule-based faulty node classification and management scheme for large scale wireless sensor networks

Chanak, Prasenjit; Banerjee, Indrajit

doi:10.1016/j.eswa.2015.09.040

Cited by 68 publications

(28 citation statements)

References 15 publications

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“…The performance metrics of those two aspects are defined as Packet delivery ratio: Ratio of the count of packets received by the destination node to the count of packets sent by the source node [22]. Percentage of dead node: The ratio of the number of dead sensor nodes due to the permanent fault to the number of fault-free sensor nodes in the network [24]. Network Energy Consumption: Energy consumed per event by s r node in receiving and sending data packets throughout the simulation period.…”

Section: Performance Evaluationmentioning

confidence: 99%

Fuzzy-based fault-tolerant and instant synchronization routing technique in wireless sensor network for rapid transit system

Raghunath¹,

Thirukumaran²

2019

Automatika

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In the present era, rapid transits are one of the most affordable means of public transport with various useful integrated application systems. The majority of the integrated applications are deployed in concern over safety and precautionary measures against the worst side-effects of unfortunate emergencies. For such cases, high-end reliable and autonomous systems provide possible positive solutions. Wireless Sensor Network is one of the suitable choices for rapid transit applications to gain positive results with inexpensive implementation cost. However, managing few network consequences like fault tolerance, energy balancing and routing critical informative packets are considered to be the challenging task due to their limited resource usage restriction. In this paper, a novel fuzzy logic-based fault tolerance and instant synchronized routing technique have been proposed specifically for the rapid transit system. On utilizing the fuzzy logic concepts, most of the computational complexities and uncertainties of the system is reduced. The central thematic of the proposed design is concerned over the synchronized routing and permanent faults which abruptly depicts the non-functional nature of the sensor nodes during normal operations. Moreover, our proposed simulation outcomes proved to be improvised evidence on obtaining maximum packet delivery ratio which tends to handle an emergency situation in the compartments of rapid transits. ARTICLE HISTORY

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Section: Performance Evaluationmentioning

confidence: 99%

Fuzzy-based fault-tolerant and instant synchronization routing technique in wireless sensor network for rapid transit system

Raghunath¹,

Thirukumaran²

2019

Automatika

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“…In (P. Chanak and I. Banerjee, 2016), a fuzzy rule base is developed in order to detect the broken sensors and reusing them in a wireless sensor system. It is told that the detection of these sensors is significant for service quality.…”

Section: Figmentioning

confidence: 99%

Design of a Distributed Control System with Fuzzy Logic Controller and PLC in Wireless Sensor Network Based Industrial Environments and Monitoring the System with RFID

Durdu¹,

Bozkurt²,

Ergene³

2019

Uluslararası Muhendislik Arastirma Ve Gelistirme Dergisi

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Nowadays industrial applications are built on automatic control systems. The main reason is to convert these control systems and industrial factories into smart ones. By converting them to smart factories, a high-efficiency rate can be acquired. Generally, automatic control systems are controlled by classical logic via PLC (Programmable Logic Controllers). In this method, many problems can be met with. The most important one of these is that it is complicated to create a numerical control unit. Trying to control the system with the traditional way without creating a model can lead us to complicated algorithms. At the same time, complicated algorithms can cause wrong orientations in the system. However, the fuzzy logic, which is one of the intelligent control methods, can help us to create the system just with linguistic expressions and some rules without requiring a mathematical model. In this way with smart control methods, efficiency can be obtained in factories. Besides control systems, factories can be made smart. RFID technology is the central element of this process. The factorymaterial communication is provided via RFID technology. Thus, factories can communicate with the material that is produced without any human intervention. The development of smart factories and the rapid improvements in automation systems caused demands in wireless technology to rise. As a result of these demands, wireless sensor networks became a critical subject, and its use is widespread. These systems provide us to send the data in a certain distance without any loss of the data, also removes all the cables in the workplace. In this study, a control system, distributed in a wireless sensor network based industrial places, is controlled by a traditional PLC method and fuzzy logic. At the same time, the system is monitored by RFID and a solution is proposed to a smart factory application.

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“…We utilize the Network Simulator-2 (NS-2) and MATLAB to model the fault model and the cardinality-based fault-free path estimation respectively. Besides, the performance of proposed HPHC is compared with the existing works such as FDWSN, PFDWSN and FNCM [23] regarding the various parameters such as throughput, faulty node detection accuracy, Packet Delivery ratio (PDR) and endto-end delay. The message overhead, end-to-end delay and the PDR values are estimated with the variations of faulty nodes and no fault condition.…”

Section: Performance Analysismentioning

confidence: 99%

“…The minimum power burden to the battery of each sensor nodes was achieved. Chanak and Banerjee [23] performed Fuzzy-rule formation for the fault detection and uncertainties prediction that provided high effectiveness in fault recovery.…”

Section: Related Workmentioning

confidence: 99%

Enhanced Algorithms for Fault Nodes Recovery in Wireless Sensors Network

Im¹,

Sm²

2017

Int J Sens Netw Data Commun

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Fuzzy rule-based faulty node classification and management scheme for large scale wireless sensor networks

Cited by 68 publications

References 15 publications

Fuzzy-based fault-tolerant and instant synchronization routing technique in wireless sensor network for rapid transit system

Fuzzy-based fault-tolerant and instant synchronization routing technique in wireless sensor network for rapid transit system

Design of a Distributed Control System with Fuzzy Logic Controller and PLC in Wireless Sensor Network Based Industrial Environments and Monitoring the System with RFID

Enhanced Algorithms for Fault Nodes Recovery in Wireless Sensors Network

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