A Reliable Primary-Backup Routing Algorithm in Wireless Sensor Netwrok

Jing, Weipeng; Qu, Wenyu; Liu, Yaqiu; Zhang, Qianlong

doi:10.1016/j.phpro.2012.02.216

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…When there is a need for continuous monitoring by the sensor network, the LEACH protocol is found to be the most beneficial. The primary-backup path routing algorithm (RPBLR) [2] protocol, selects a backup path for all sensors for reliable route to reach destination. RPBLR uses weight factor, link delay, and volume of data for calculating the backup route.…”

Section: Related Workmentioning

confidence: 99%

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Fault Tolerance in Wireless Sensor Networks: Finding Primary Path

Parwekar

Rodda

2015

Advances in Intelligent Systems and Computing

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Wireless sensor networks (WSN) are prone to be affected by faults which may be caused due to a variety of reasons, namely hardware malfunction, software problems, inadequate energy resources, and range or environmental hazards. A WSN is required to be equipped to handle such situations else would suffer an overall curtailment of the lifetime and ultimately not meet the required goal. Tolerance to faults thus forms one of the guiding parameters in WSN design. In this paper, we have proposed a method to find a reliable routing protocol using fuzzy logic based on Link Quality Indicator (LQI), Received Signal Strength Indicator (RSSI), and number of hops to the base station. Additional to the primary reliable path, each node has a secondary path which will be alternate path for each sensor in case of failure of the primary path. Implementation of this approach has been done as TinyOS module and evaluated through TOSSIM simulations. The experimental results show promising results in terms of packet delivery and reliability of the network.

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Section: Related Workmentioning

confidence: 99%

“…The Wireless Sensor Networks [2] are required to be protected from typical faults like sensor failure due to exhaustion of energy, thereby, failure of a particular path or the complete network using a Fault-tolerant mechanism. Considering the typical issues with Wireless Sensor Networks a handful of fault-tolerant techniques have emerged.…”

mentioning

confidence: 99%

Fault Tolerance in Wireless Sensor Networks: Finding Primary Path

Parwekar

Rodda

2015

Advances in Intelligent Systems and Computing

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Hierarchical and On-Demand Attack Defence Framework for IoT Devices

Sudhakaran

Kaliyaperumal²,

Kumar

et al. 2022

Wireless Communications and Mobile Computing

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Internet of Things (IoT) devices are lightweight such that they generally possess low battery power. Hence, the chances of battery exhaustion and flooding attacks are more. In order to perform attack response actions against various attacks, this paper proposes Hierarchical and On-Demand Attack Defence Framework (HOAD) for IoT security. In this framework, primary (PC) and secondary controller (SC) nodes are deployed in the network along with the IoT devices. The SC scan be moved on-demand by the PC. The response agent at PC will first establish a new route via the SCs by excluding the intruders and the suspected nodes. Then, it will resend the stored packets to their destination via the newly established route. The proposed HOAD framework is implemented in NS2 and compared with the MECshield framework. Simulation results show that the HOAD has reduced end-to-end delay, increased packet delivery ratio, and increased residual energy.

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A Reliable Primary-Backup Routing Algorithm in Wireless Sensor Netwrok

Cited by 2 publications

References 11 publications

Fault Tolerance in Wireless Sensor Networks: Finding Primary Path

Fault Tolerance in Wireless Sensor Networks: Finding Primary Path

Hierarchical and On-Demand Attack Defence Framework for IoT Devices

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