Scalable Data-Coupled Clustering for Large Scale WSN

Chidean, Mihaela I.; Morgado, Eduardo; Arco, Eduardo del; Ramiro, Josefa; Caamaño, Antonio J.

doi:10.1109/twc.2015.2424693

Cited by 32 publications

(9 citation statements)

References 25 publications

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“…The study outcome was found to achieve better energy efficiency. Chidean et al [44] have performed a study where spatial and temporal data were exploited in order to perform network partitioning for obtaining data coupling in sensor network. The authors have used multiple techniques e.g.…”

Section: Techniques Based On Enhancing Data Correlation Schemesmentioning

confidence: 99%

Exploring an Effectiveness & Pitfalls of Correlational-based Data Aggregation Approaches in Sensor Network

Gudnavar¹,

Rajashekhara²

2017

IJWMT

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Data aggregation is one of the core processing in wireless sensor network which ensures that environmental data being captured reaches the user via base station. In order to ensure proper data aggregation, there are many underlying principles that need more attention as compared to more frequently visited routing and energy problems. We reviewed existing data aggregation schemes with special focus on data correlation scheme and found that there is still a large scope of investigation in this area. We find that there are only less number of research publications towards existing techniques of data aggregation using correlational-based approach. It was also explored that such techniques still does not focus much on data quality, computational complexity, inappropriate benchmarking, etc. This paper elaborates about all the unsolved issues which require dedicate focus of investigation towards enhancing the data reliability and data quality in aggregation process in wireless sensor network.

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Section: Techniques Based On Enhancing Data Correlation Schemesmentioning

confidence: 99%

Exploring an Effectiveness & Pitfalls of Correlational-based Data Aggregation Approaches in Sensor Network

Gudnavar¹,

Rajashekhara²

2017

IJWMT

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“…However, sensors are provided with restricted battery energy [6]. Additionally, the WSN lifetime purely depends on energy, and the nodes are prone to damage when they are distributed [7, 8]. Hence, the number of nodes deal with probably consists of thousands of nodes [9].…”

Section: Introductionmentioning

confidence: 99%

Hybrid optimization algorithm for security aware cluster head selection process to aid hierarchical routing in wireless sensor network

2021

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In wireless sensor networks, clustering is said to be the most noteworthy technique for increasing the lifetime of network that directly leads a better routing mechanism. This approach involves grouping of sensor nodes to clusters and choosing the appropriate cluster heads for each cluster. In fact, cluster heads gathers data from corresponding nodes in cluster and transmits those aggregated data to base station. However, the major issue in this is the selection of the appropriate cluster head. Till now, many research works have been carried out for solving this issue by considering different constraints. This paper introduces a new cluster-based routing model by selecting the optimal cluster head. Moreover, a novel algorithm known as grey wolf updated whale optimization algorithm is introduced. Here, a new multi-objective function is defined with respect to different constraints like distance, delay, security and energy, respectively. Finally, the performance of security aware clustering with grey wolf updated whale optimization algorithm is evaluated and validated over other conventional works with respect to alive node analysis, throughput and normalized network energy, respectively.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…In the process of cluster construction, we can also consider the use of principal component analysis [13], fuzzy logic [1], K-means [14], Markov models [15], the introduction of mobile nodes [16,17], etc., to construct a reliable and secure sensor network [18,19,20].…”

Section: Introductionmentioning

confidence: 99%

An Energy-Efficient Clustering Routing Protocol Based on a High-QoS Node Deployment with an Inter-Cluster Routing Mechanism in WSNs

Zhao

Luo

et al. 2019

Sensors

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Currently, wireless sensor network (WSN) protocols are mainly used to achieve low power consumption of the network, but there are few studies on the quality of services (QoS) of these networks. Coverage can be used as a measure of the WSN’s QoS, which can further reflect the quality of data information. Additionally, the coverage requirements of regional monitoring target points are different in real applications. On this basis, this paper proposes an energy-efficient clustering routing protocol based on a high-QoS node deployment with an inter-cluster routing mechanism (EECRP-HQSND-ICRM) in WSNs. First, this paper proposes formula definitions for information integrity, validity, and redundancy from the coverage rate and introduces a node deployment strategy based on twofold coverage. Then, in order to satisfy the uniformity of the distribution of cluster heads (CHs), the monitoring area is divided into four small areas centered on the base station (BS), and the CHs are selected in the respective cells. Finally, combined with the practical application of the WSN, this paper optimizes the Dijkstra algorithm, including: (1) nonessential paths neglecting considerations, and (2) a simultaneous introduction of end-to-end weights and path weights, achieving the selection of optimal information transmission paths between the CHs. The simulation results show that, compared with the general node deployment strategies, the deployment strategy of the proposed protocol has higher information integrity and validity, as well as lower redundancy. Meanwhile, compared with some classic protocols, this protocol can greatly reduce and balance network energy consumption and extend the network lifetime.

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Scalable Data-Coupled Clustering for Large Scale WSN

Cited by 32 publications

References 25 publications

Exploring an Effectiveness & Pitfalls of Correlational-based Data Aggregation Approaches in Sensor Network

Exploring an Effectiveness & Pitfalls of Correlational-based Data Aggregation Approaches in Sensor Network

Hybrid optimization algorithm for security aware cluster head selection process to aid hierarchical routing in wireless sensor network

An Energy-Efficient Clustering Routing Protocol Based on a High-QoS Node Deployment with an Inter-Cluster Routing Mechanism in WSNs

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