Fault Tolerant Multi-Criteria Multi-Path Routing in Wireless Sensor Networks

Khan, K.; Goodridge, Wayne

doi:10.5815/ijisa.2015.06.06

Cited by 10 publications

(6 citation statements)

References 36 publications

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“…Exact restoration of connections gave additional strength to the network and enhance the lifetime of network. Koffka Khan et al [8] [2015]implemented an improved AOMDV protocol which can be react to lossy environments and effective to fault tolerance. A packet loss percentage metric is added to node disjoint paths for calculate the amount of packet loss in that communication.…”

Section: Literature Surveymentioning

confidence: 99%

Identifying Faulty Nodes in Wireless Sensor Network to Enhance Reliability

Prabhan¹,

Anand²,

Sinha³

2019

IJRTE

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 Abstract-WSN having several major issues to deliver information from source to sink. Such that secure data transmission, energy consumption, balancing the load and fault tolerance will be the major tasks. In the WSN, one node communicates with its neighbour nodes with limited energy source. So if any node does not work properly or become faulty nodes, which have less initial energy level, bandwidth to communicate with faulty nodes. Hence there is a need of system which can overcome with fault and give the reliable communication. Fault may also occur due to the dislocation of sensor nodes, battery depletion or instability of transmission medium.This proposed work will identify the faulty nodes and calculate the end to end delay as well as residual energy. Hence a reliable communication for all nodes in the WSN can be attained.

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Section: Literature Surveymentioning

confidence: 99%

Identifying Faulty Nodes in Wireless Sensor Network to Enhance Reliability

Prabhan¹,

Anand²,

Sinha³

2019

IJRTE

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“…In-order to prolong the network"s lifetime, it is necessary to maintain sufficient charge in all the nodes. Using a single node as a cluster head leads to faster power depletion in the node [9]. Hence it is important that to periodically alternate the component nodes as the cluster head.…”

Section: Cluster Head Monitoringmentioning

confidence: 99%

Metaheuristic Technique for Dynamic and Energy Efficient Routing (METDEER) in MANET

Prabaharan*,

Banu,

Sethi

2019

IJITEE

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The Metaheuristic Technique in Mobile Ad-hoc Network (MANET) is an experiment based model for improving lifetime of the MANET. This contribution proposes a Balanced Network Monitoring and Routing-Based on Ant Colony Optimization Technique (BNMR-ACOT) that enhances the lifetime of the network by providing a balanced selection of nodes during the routing process. Experiments were conducted with various parameters – packet delivery ratio, energy consumption of node and total overhead were compared with existing models with BNMR, which exhibits two times better route selection levels and twenty times faster route selection times. Node usage levels and randomization levels in the path selection component were observed to exhibit effective performances.

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“…Initially, these algorithms were constructed CDS under specific conditions; later nodes in CDS formed clusters using neighbouring nodes. In 1998, Guha et al, proposed two centralized greedy heuristic algorithms [6] for dominating set problem. The first algorithm was a growing tree (T) based algorithm, starting from a maximum degree vertex as a root.…”

Section: Related Workmentioning

confidence: 99%

“…Due to high data processing overheads, premature death of CHs is a major issue in the design of clustering algorithms [6]. To overcome this, existing algorithms perform periodic re-clustering, but every attempt of reclustering generates more control messages.…”

Section: Introductionmentioning

confidence: 99%

Energy-efficient and Load Distributed Clustering Algorithm for Dense Wireless Sensor Networks

Sivaraj¹,

Alphonse²,

Janakiraman³

2017

IJISA

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Abstract-Wireless sensor networks (WSNs) consist of a large number of tiny sensors with sensing, processing and transmission capabilities. Reducing energy consumption of nodes is one of the major objectives in the design of wireless sensor networks, as sensors have low power batteries. As data collection is the primary objective of WSNs and it consumes more energy, energy-efficient routing is a prominent solution to reduce the sensors energy consumption. This paper proposes an Energyefficient and Load Distributed Clustering Algorithm (ELDCA) for routing in dense wireless sensor networks to reduce and distribute the sensors' energy consumption. The network is divided into number of virtual congruent square grids of defined sizes. The algorithm constructs optimal and load balanced clusters at every inner crossing point of grid cells using defined cluster fitness value. As early energy depletion is a major design issue in clustering protocols, the proposed algorithm provides a local substitution for energy suffering clusterheads (CHs). To prove the excellence of the proposed algorithm, extensive simulation experiments are performed under different network scenario. The results are compared with latest routing algorithms in terms of network lifetime, energy dissemination, and energy utilization.

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Fault Tolerant Multi-Criteria Multi-Path Routing in Wireless Sensor Networks

Cited by 10 publications

References 36 publications

Identifying Faulty Nodes in Wireless Sensor Network to Enhance Reliability

Identifying Faulty Nodes in Wireless Sensor Network to Enhance Reliability

Metaheuristic Technique for Dynamic and Energy Efficient Routing (METDEER) in MANET

Energy-efficient and Load Distributed Clustering Algorithm for Dense Wireless Sensor Networks

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