Achieving energy efficient and secure communication in wireless sensor networks

Praveena, M. D. Anto; Devasena, S M; Chelvan, K.M.A.

doi:10.1109/wocn.2006.1666571

Cited by 7 publications

(4 citation statements)

References 8 publications

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“…Paper [3] by Praveena et al, has studied about symmetric key cryptography and public key cryptography and its own problems for Ad Hoc networks. In contrast to this prejudice, they proposed a method to increase the lifetime of a MOBILE AD-HOC NETWORK/WIRELESS SENSOR NETWORK by minimizing the energy cost of transporting information from a set of sources nodes to the sink nodes and for achieving security they have used a new public-key encryption technology called identity-based encryption (IBE) which allows to calculate a public key directly from a user's identity.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient Auto Protecting Nodes in Secured Data Transmission in Mobile Ad-Hoc Networks

2017

IJAERD

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Section: Related Workmentioning

confidence: 99%

Energy Efficient Auto Protecting Nodes in Secured Data Transmission in Mobile Ad-Hoc Networks

2017

IJAERD

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“…The characteristic is the simultaneous laying of watersensitive sensors during the laying of fiber optic cables, which is done for water ingress and has regional characteristics. The fiber optic cable monitoring system proposed in the literature [15] Italy adds monitoring of the fiber optic cable sheath in addition to monitoring the fiber, which reduces the probability of misclassification of the fiber optic cable failure while increasing the deployment cost.…”

Section: Introductionmentioning

confidence: 99%

Remote fault detection and location of power fiber optic cable based on a logistic regression model

Wang,

Liang,

et al. 2023

Applied Mathematics and Nonlinear Sciences

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The current fiber optic communication network presents the characteristics of network scale, complexity, and efficiency, and the use of traditional means for the maintenance of power fiber optic cable has been greatly limited. In this paper, based on the characteristics of simple structure, convenient construction, strong randomness, strong sequence autocorrelation, and good iterative performance of chaos theory in a logistic regression model, a logistic-based remote fault detection and location system for power fiber optic cables is proposed. The fault location test is carried out through with TMS200 series fiber optic cable automatic monitoring management system and GIS method. The fault location error of the logistic-based fault detection method is less than ±3m, that of the GIS method is less than ±10m, and that of the TMS200 series cable automatic monitoring and management system is less than ±15. The comparison shows that this paper’s fault detection and location system is more accurate and can help maintenance personnel have a faster and more comprehensive understanding of the line situation. Realize the rapid repair work of faults, which provides great help to maintain the fiber optic cable lines.

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“…WirelessSensorNetworks(WSN)consistsofsensornodescontainingsimpleprocessors,lowpower consumingantennasandvariousdetectors.Thesensornodeshavecapabilitytostoreandhandle informationlocallybecauseofthesoftwareandhardwarestructuretheyhave.Generallywireless sensornetworksuseradiocommunicationandapproximatelyallradio-basedenvironmentuseCOTS (CommercialOff-The-Shelf)components (Puccinelli,2005).Thelifetimeofnetworkisverycritical formostapplicationsanditisaffectedbyenergyconsumptionofthenodes.Althoughitisfrequently assumedthattransmittingandreceivingdatacausesthemainenergydrain (Choi,2010;Praveena, 2006).Theenergyisnotonlyconsumedbythenodewhenitiscommunicate,butalsoinnumerous endlesscontrolprocesses,likekeepingaroutingtablefordatacollection,orongoingcommunication attheMAClayer (Cheng,2011;Ye,2002).…”

Section: Introductionmentioning

confidence: 99%

A Comparative Evaluation of Mining Techniques to Detect Malicious Node in Wireless Sensor Networks

Singh

Kaur

et al. 2017

International Journal of Cyber Warfare and Terrorism

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Wireless sensor networks have gained attention over the last few years and have significant applications for example remote supervising and target watching. They can communicate with each other though wireless interface and configure a network. Wireless sensor networks are often deployed in an unfriendly location and most of time it works without human management; individual node may possibly be compromised by the adversary due to some constraints. In this manner, the security of a wireless sensor network is critical. This work will focus on evaluation of mining techniques that can be used to find malicious nodes. The detection mechanisms provide the accuracy of the classification using different algorithm to detect the malicious node. Pragmatically the detection accuracy of J48 is 99.17%, Random Forest is 80.83%, NF Tree is 81.67% and BF Tree is 72.33%. J48 have very high detection accuracy as compared with BF Tree, NF Tree Random Forest.

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Achieving energy efficient and secure communication in wireless sensor networks

Cited by 7 publications

References 8 publications

Energy Efficient Auto Protecting Nodes in Secured Data Transmission in Mobile Ad-Hoc Networks

Energy Efficient Auto Protecting Nodes in Secured Data Transmission in Mobile Ad-Hoc Networks

Remote fault detection and location of power fiber optic cable based on a logistic regression model

A Comparative Evaluation of Mining Techniques to Detect Malicious Node in Wireless Sensor Networks

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