The Enhanced Fault-Tolerant AODV Routing Protocol for Wireless Sensor Network

Che-Aron, Zamree; Al-Khateeb, Wajdi Fawzi Mohammed; Anwar, Farhat

doi:10.1109/iccrd.2010.74

Cited by 8 publications

(4 citation statements)

References 7 publications

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“…In spite of being able to choose a more stable path, achieving a higher packet delivery ratio, it did not consider the energy consumption of the nodes, let alone balancing the energy consumption of each node. Che-Aron et al presents a protocol called ENFAT-AODV based on AODV [8]. When the current path fails, it will use backup path to reduce packet loss but without considering the energy consumption.…”

Section: State-of-artmentioning

confidence: 99%

LEDO: Location-Based Distribution Energy Optimization Protocol in Wireless Sensor Networks

Zhou

Luo

et al. 2011

2011 7th International Conference on Wireless Communications, Networking and Mobile Computing

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Researches on efficient wireless routing protocols have attracted a lot of attention recently. The classic wireless routing protocols, such as AODV and DSR, are distance-driven and table-driven, which are rarely addressing the energy consumption issue. Therefore, it is necessary to develop a new network protocol that can provide higher energy efficiency and achieve longer network lifetime. Considering the limited power supply of sensor nodes, we proposed a Location-based Energy Distribution Optimization (LEDO) routing protocol that is based on the node location information and the balanced energy consumption strategy. The performance evaluation of LEDO and the performance comparison with AODV and DSR has been done basing on NS-2 simulator platform. The simulation results show that the LEDO effectively balances the energy consumption of nodes and extends the network lifetime.

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Section: State-of-artmentioning

confidence: 99%

LEDO: Location-Based Distribution Energy Optimization Protocol in Wireless Sensor Networks

Zhou

Luo

et al. 2011

2011 7th International Conference on Wireless Communications, Networking and Mobile Computing

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“…In , the Grade Ad hoc On‐Demand Distance Vector (G‐AODV), which aims at restricting the route request messages during the routing process has been proposed. The authors in developed enhanced fault‐tolerant AODV routing protocol (ENFAT‐AODV) based on fault‐tolerance approach to obtain high reliability and reduced packet drop rate. ENFAT‐AODV keeps a backup path for each sensor such that when a failure occurs, the sensor can recall the backup path by resending the data through the new path.…”

Section: Energy Awareness In Non‐swarm Intelligence Schemesmentioning

confidence: 99%

A survey on energy awareness mechanisms in routing protocols for wireless sensor networks using optimization methods

Saleh

Ali

Rasid

et al. 2013

Trans. Emerging Tel. Tech.

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Over recent years, enormous amounts of research in wireless sensor networks (WSNs) have been conducted; this is because of its multifarious applications such as in environmental monitoring, object tracking, disaster management, manufacturing, monitoring and control. Nevertheless, optimising the energy consumption of sensor nodes (SNs) in WSNs and realising the anticipated quality of solutions supplied from them present considerable challenges. In WSNs, the sudden ‘death’ of critical nodes can cause an entire network to malfunction. This is usually caused by uneven depletion of battery power of the individual nodes. Therefore, this survey investigates the methods that aim to minimise usage of energy in SNs, especially during routing. This is because network activities start to be challenged when the first SN exhausts its battery. In addition, this paper introduces a comprehensive categorization of the energy‐aware protocols in WSNs. Thus, the motivation of this survey is to present some decentralised energy‐aware routing using optimization methods that is generic and applicable to most of WSN applications that require reduction of energy consumptions and extend a network's life time. Copyright © 2013 John Wiley & Sons, Ltd.

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“…Some routing algorithms just enhance the abovementioned ones with fault-tolerant or energy-balancing mechanism [ 20 – 23 ]. However, these algorithms are not able to provide short path for routing or they do not provide an efficient way for constructing short path.…”

Section: Related Workmentioning

confidence: 99%

A Source‐Initiated On‐Demand Routing Algorithm Based on the Thorup‐Zwick Theory for Mobile Wireless Sensor Networks

Mao

Zhu

2013

The Scientific World Journal

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The unreliability and dynamics of mobile wireless sensor networks make it hard to perform end-to-end communications. This paper presents a novel source-initiated on-demand routing mechanism for efficient data transmission in mobile wireless sensor networks. It explores the Thorup-Zwick theory to achieve source-initiated on-demand routing with time efficiency. It is able to find out shortest routing path between source and target in a network and transfer data in linear time. The algorithm is easy to be implemented and performed in resource-constrained mobile wireless sensor networks. We also evaluate the approach by analyzing its cost in detail. It can be seen that the approach is efficient to support data transmission in mobile wireless sensor networks.

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The Enhanced Fault-Tolerant AODV Routing Protocol for Wireless Sensor Network

Cited by 8 publications

References 7 publications

LEDO: Location-Based Distribution Energy Optimization Protocol in Wireless Sensor Networks

LEDO: Location-Based Distribution Energy Optimization Protocol in Wireless Sensor Networks

A survey on energy awareness mechanisms in routing protocols for wireless sensor networks using optimization methods

A Source‐Initiated On‐Demand Routing Algorithm Based on the Thorup‐Zwick Theory for Mobile Wireless Sensor Networks

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