Fault Node Recovery Algorithm for a Wireless Sensor Network

Shih, Hong-Chi; Ho, Jiun-Huei; Liao, Bin-Yih; Pan, Jeng‐Shyang

doi:10.1109/jsen.2013.2255591

Cited by 54 publications

(32 citation statements)

References 9 publications

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“…Traditional techniques to sensor network routing including the Directed Diffusion Algorithm [1], [11], [15], Grade Diffusion [1], [8], Genetic Algorithms [1], [5], Graph Based Genetic Algorithm [5], Ladder Diffusion Ant Colony Optimization Algorithm [7]. These optimization will ultimately enhance the WSN lifetime and reduce sensor node replacement cost.…”

Section: Related Workmentioning

confidence: 99%

“…A series of routing algorithms [1], [11], [15] for wireless device networks have been planned in recent geezer hood. C. Intanagonwiwat et al presented the Directed Dispersion (DD) rule [1], [10] in 2003.…”

Section: ____________________________________________________________mentioning

confidence: 99%

“…C. Intanagonwiwat et al presented the Directed Dispersion (DD) rule [1], [10] in 2003. The content of the DD rule is to limit the aggregation passage coefficient counts for cognition management.…”

Section: ____________________________________________________________mentioning

confidence: 99%

“…It is small and cheap node capable for sensing communication. In Wireless Sensor Network Directed Diffusion Algorithm [1], [11], [15] act as routing protocol or it user for communication for sensor node, how message or data can flow source to sink. When the energy of a sensor node is exhausted, wireless sensor network leaks will appear, and the failed nodes will not relay data to the other nodes during transmission processing.…”

Section: Introductionmentioning

confidence: 99%

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Survey on Faulty Node Detection and Recovery Algorithm for WSN

Kishor¹

2015

IJRITCC

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Abstract-In Faulty Node Detection and Recovery Algorithm for WNS critical problems like fault tolerance created. Earlier fault toleran ce mechanism consume significant extra energy to detect and recover from the failure or having additional hardware and software resources. .Lifetime of sensor node is enhanced because of using diffusion algorithm combined with the genetic algorithm. When some node get faulty in network then this algorithm is useful to avoid performance related data transfer. Wireless sensor networks are having tendency to fail of sensor, due to the energy depletion, failure of hardware's, conditions of network environment. We sure that that type of algorithm used then result is replacements of sensor nodes and more reused routing paths. Time for data transfer is depend on active nodes that's why we detect a routing path with faulty node. Power consumption is affect the hierarchy of active nodes that's why data is not transferred surely. In this proposed algorithm reduces the rate of data loss by approximately 98.8%, and reduces the rate of energy consumption by approximately 31.1%.

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Section: Related Workmentioning

confidence: 99%

Section: ____________________________________________________________mentioning

confidence: 99%

Section: ____________________________________________________________mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Survey on Faulty Node Detection and Recovery Algorithm for WSN

Kishor¹

2015

IJRITCC

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“…그리고 외부 환경 변화로 인하여 IoT 디바이스가 파손이 되거나 오작동을 할 가능성도 있다. 이러한 결함들을 해 결하기 위한 연구들이 활발하게 진행 중에 있다 [7][8] [9]. 그러나, 대부분의 연구들은 IoT 환경의 다양한 결함 중 일부의 결함만을 고려하거나, 구체적인 기법 설명이 미 흡하다.…”

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Practical Methods for Managing Faults in IoT Computing

Park¹,

Kim²

2015

Journal of Internet Computing and Services

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Internet of Thing (IoT) computing is an environment where various devices with sensors and actuators are connect, and interact together to acquire contexts and provide useful services. With the advances of IoT technologies, its usability becomes an in important issue. However, there exist various types of faults in IoT computing which are not conventionally addressed in software research community. Providing reliable IoT services is challenging. In this paper, we present a hierarchy of IoT faults and analyze causes and symptoms of the faults. Based on the analysis, we define effective methods for managing IoT faults. We believe that our proposed framework for managing IoT faults can be utilized in reducing the development cost of IoT applications and enhancing the quality of the applications.

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An Optimal Lightweight Cryptographic Hash Function for Secure Image Transmission in Wireless Sensor Networks

Shankar

Elhoseny

2019

Lecture Notes in Electrical Engineering

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Fault Node Recovery Algorithm for a Wireless Sensor Network

Cited by 54 publications

References 9 publications

Survey on Faulty Node Detection and Recovery Algorithm for WSN

Survey on Faulty Node Detection and Recovery Algorithm for WSN

Practical Methods for Managing Faults in IoT Computing

An Optimal Lightweight Cryptographic Hash Function for Secure Image Transmission in Wireless Sensor Networks

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