A fault-tolerant and energy-aware mechanism for cluster-based routing algorithm of WSNs

Hezaveh, Maryam; Shirmohammdi, Zahra; Rohbani, Nezam; Miremadi, Seyed Ghassem

doi:10.1109/inm.2015.7140352

Cited by 19 publications

(11 citation statements)

References 16 publications

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“…The authors of [25] present a Fault-Tolerant and Energy-Aware Mechanism (FTEAM), which prolongs the lifetime of WSNs, primarily proposed for cluster-based WSN protocols. The method is based on the principle of an identification of the overlapped nodes and the configuration of the most powerful nodes to the sleep mode in order to save their energy for the purpose of replacing a failed Cluster Head with them.…”

Section: Related Work and Comparison With Our Methodsmentioning

confidence: 99%

The Distributed Convergence Classifier Using the Finite Difference

Kenyeres

Kenyeres²,

Skorpil

2016

RADIOENGINEERING

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Section: Related Work and Comparison With Our Methodsmentioning

confidence: 99%

The Distributed Convergence Classifier Using the Finite Difference

Kenyeres

Kenyeres²,

Skorpil

2016

RADIOENGINEERING

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“…However, [14] has the special characteristic in the two-level cluster formation to reduce transmission burden on CHs. The special work of [15] is on the identification of overlapped nodes. If two sensor nodes has the similar responsible coverage areas, the two nodes are the overlapped nodes with each node.…”

Section: Related Workmentioning

confidence: 99%

Efficient Fault-Tolerant Routing in IoT Wireless Sensor Networks Based on Bipartite-Flow Graph Modeling

et al. 2019

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In the Internet of Things (IoT), a wireless sensor network (WSN) is deployed for collecting the interesting data of an application field. Sensor nodes in an IoT WSN are usually with the heterogeneous property. Some nodes have more power (energy) and additional functionality (e.g., data aggregation) than others. Cluster-based routing is usually used in WSNs for data transmissions due to efficiently routing consideration. Based on cluster-based routing, the cluster heads (CHs) act as the sensed data forwarding role. Once one or more CHs fail, the faulty CHs cannot forward the sensed data of their serving sensor nodes. As a result, the sink node (gateway) has not sufficient sensed data of the IoT application field. This will deeply affect the information processing of the IoT applications. We utilize the virtual CH formation and flow graph modeling to efficiently tolerate the failures of CHs. First, the available resources of all failure-free CHs are logically organized as a virtual CH to be the common backup of all faulty CHs. Then, the flow graph modeling is used to achieve fault tolerance with the minimum total energy consumption among all failurefree CHs. Finally, we perform extensive experiments to demonstrate the effectiveness of our approach in the fault-tolerant routing of the IoT WSNs.INDEX TERMS Internet of Things (IoT), wireless sensor networks (WSN), cluster based routing, fault tolerance, flow graph algorithm.

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“…Hezaveh et al [11] proposed a Fault-Tolerant and EnergyAware Mechanism (FTEAM), which prolongs the lifetime of WSNs. This mechanism can be applied to cluster based WSN protocols.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient Fault Tolerable Routing Protocol for Wireless Sensor Networks

Singh¹,

Tripathi²,

Chourasiya³

2016

International Journal of Advanced Research in Computer and Comm

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Abstract-Wireless sensor networks provide a significant contribution to the emerging field such as ubiquitous computing and ambient intelligence. Due to the inherent property of WSN, it is most vulnerable for reliability. In literature, most of the authors concern about network longevity and ignore fault tolerance. In this dissertation, we present an energy-efficient fault tolerable routing protocol (EEFT) mechanism for WSN. The major novelty of this work is that sensor nodes can send their data to alternate path during a fault. The energy efficient can be achieves using clustering protocol for routing. The subordinate for each cluster help to tolerate faults occurred in the proximity. The cluster head nodes in proximity propagate aggregated data to base station. The simulation results show that the proposed approach yields better performance than the existing methods. It has observed that the proposed protocol EEFT has better energy utilization than existing EE-LEACH and FTREEP protocols. The EEFT protocol also has better packet delivery ratio than FTEERP; it increased up to 53.60%.

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A fault-tolerant and energy-aware mechanism for cluster-based routing algorithm of WSNs

Cited by 19 publications

References 16 publications

The Distributed Convergence Classifier Using the Finite Difference

The Distributed Convergence Classifier Using the Finite Difference

Efficient Fault-Tolerant Routing in IoT Wireless Sensor Networks Based on Bipartite-Flow Graph Modeling

Energy Efficient Fault Tolerable Routing Protocol for Wireless Sensor Networks

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