Cluster based energy efficient routing protocol for heterogeneous wireless sensor networks

Prashanth, G. S.; Manjunatha, P.

doi:10.1002/cpe.7693

Cited by 5 publications

(16 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…4 and Fig. 5 illustrate the variation in D g,q (e, u) values, considering the summation of energy and total packets delivered to the sink, as per (22). The threshold values depicted range from 0.18 to 0.39 in Fig.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…Additionally, the emperor penguin optimization (EPO) algorithm is incorporated to identify the most efficient routes from the CHs to the sink. In [22], the cluster-based energy efficient routing protocol (CEER) is introduced, featuring a network comprising five distinct types of nodes with varying energy levels. The Fuzzy-AHP method is employed to ascertain threshold values (represented by parameters α, β, and σ).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Distributed Leach-AHP Routing for Wireless Sensor Networks

Gangal,

Cinemre,

Hacioglu

2024

IEEE Access

View full text Add to dashboard Cite

The energy-saving capability of wireless sensor networks significantly relies on the efficiency of the routing algorithms they employ. In this study, we introduce a novel hierarchical and distributed approach that combines the low energy adaptive clustering hierarchy (LEACH) algorithm with the analytic hierarchy process (AHP). Our method involves maintaining a matrix within the nodes, which contains potential threshold values representing the probability of a node becoming the cluster head (CH). The values in this matrix are associated with the energy and distance conditions of the nodes in relation to the Sink. Both energy levels and the distance to the Sink are considered as criteria in the AHP method. The probability of a node becoming a CH is computed using AHP, with importance levels ranging from 1 to 9 based on energy and distance criteria. The preference for the energy criterion over distance is weighted with factors of 3, 5, and 7. All possible threshold values for specific energy and distance scenarios are derived through AHP, and they are evaluated to identify the one that minimizes energy consumption and maximizes packets sent to the Sink. Once the threshold value that optimizes these factors for a given energy and distance condition is determined, it is stored in the threshold value matrix. This method empowers the nodes to autonomously decide their probability of becoming the CH based on their energy status and distance to the Sink, without the need for centralized control. In comparison to algorithms like particle swarm optimization (PSO) and genetic algorithm (GA), the proposed method has minimal computational requirements and can be implemented in a distributed manner. The proposed approach was benchmarked against the well-established clustering algorithm LEACH. The results demonstrate that the proposed method can extend the network lifetime by up to two times and increase the number of packets sent to the Sink by approximately 50%.INDEX TERMS Ahp, leach, routing, wsn, wireless sensor networks.

show abstract

Section: Numerical Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Distributed Leach-AHP Routing for Wireless Sensor Networks

Gangal,

Cinemre,

Hacioglu

2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…After the clustering is completed, the network will be divided into different node groups, called clusters. Clustering is a technique that can effectively utilize sensor energy by maintaining load balance between sensors [8].…”

Section: Related Workmentioning

confidence: 99%

Energy efficient clustering routing algorithm based on improved FCM

Sun,

Meng,

Zhao

et al. 2024

Preprint

View full text Add to dashboard Cite

Wireless sensor networks (WSNs) play a crucial role in the Internet of Things (IoT). The sensor nodes(SNs) in WSNs are powered by batteries, making energy efficiency and network lifetime key issues in WSNs research. Cluster-routing algorithms are a focal point for addressing energy efficiency challenges. Selecting cluster heads (CHs) based on clustering algorithms can reduce the energy consumption of SNs and enhance overall network stability and sustainability. This paper introduces a method for selecting the number of clusters (\({N_C}\)) and CHs based on fuzzy clustering. The fuzzy C-means (FCM) clustering algorithm requires pre-setting the number of clusters, with no inclusion of CHs information in the output after running the algorithm. The number of clusters and selection of CHs were determined using the elbow rule and scoring criteria for CHs selection. The performance of the network under different monitoring areas is simulated and analyzed in this paper. Experiments demonstrate that the proposed algorithm outperforms existing algorithms in terms of network energy consumption and lifetime.

show abstract

“…DDoS attacks can be avoided or lessened by configuring firewalls and routers to reject traffic from known malicious IP addresses or to limit traffic to particular ports. By absorbing or reducing attack traffic, cloud-based security services can offer defense against DDoS attacks [16]. These solutions may be swiftly put into place and are frequently more efficient than conventional on-premises ones.…”

Section: Iot and The Ai Ecosystem Architecture For Smart Agriculturementioning

confidence: 99%

An internet of things based smart agriculture monitoring system using convolution neural network algorithm

K S,

Pradhan,

A N

et al. 2024

EAI Endorsed Trans IoT

View full text Add to dashboard Cite

Farming is a crucial vocation for survival on this planet because it meets the majority of people's necessities to live. However, as technology developed and the Internet of Things was created, automation (smarter technologies) began to replace old approaches, leading to a broad improvement in all fields. Currently in an automated condition where newer, smarter technologies are being upgraded daily throughout a wide range of industries, including smart homes, waste management, automobiles, industries, farming, health, grids, and more. Farmers go through significant losses as a result of the regular crop destruction caused by local animals like buffaloes, cows, goats, elephants, and others. To protect their fields, farmers have been using animal traps or electric fences. Both animals and humans perish as a result of these countless deaths. Many individuals are giving up farming because of the serious harm that animals inflict on crops. The systems now in use make it challenging to identify the animal species. Consequently, animal detection is made simple and effective by employing the Artificial Intelligence based Convolution Neural Network method. The concept of playing animal-specific sounds is by far the most accurate execution. Rotating cameras are put to good use. The percentage of animals detected by this technique has grown from 55% to 79%.

show abstract

Cluster based energy efficient routing protocol for heterogeneous wireless sensor networks

Cited by 5 publications

References 36 publications

A Distributed Leach-AHP Routing for Wireless Sensor Networks

A Distributed Leach-AHP Routing for Wireless Sensor Networks

Energy efficient clustering routing algorithm based on improved FCM

An internet of things based smart agriculture monitoring system using convolution neural network algorithm

Contact Info

Product

Resources

About