Efficient Clustering using ECATCH Algorithm to Extend Network Lifetime in Wireless Sensor Networks

Kumar, R. Sathish; wari, R.Loges; Devi, N.Anitha; Bharathy, S.

doi:10.14445/22315381/ijett-v45p290

Cited by 5 publications

(2 citation statements)

References 14 publications

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“…However, the focus on the degree of accuracy for choosing the cluster head by performing complex mathematical operations and measuring multiple factors results in delays and drains the network energy that is supposed to be provided. Similarly, DFLER [ 19 ] uses fuzzy logic and the ECATCH algorithm to reduce the workload of the cluster head and produce a reliable, accurate results. However, sending all sensor data to a specific CH leads to a bottleneck problem.…”

Section: Related Workmentioning

confidence: 99%

Lightweight and Efficient Dynamic Cluster Head Election Routing Protocol for Wireless Sensor Networks

Yagoub

Khalifa

Abdelmaboud

et al. 2021

Sensors

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Wireless Sensor Networks (WSNs) have gained great significance from researchers and industry due to their wide applications. Energy and resource conservation challenges are facing the WSNs. Nevertheless, clustering techniques offer many solutions to address the WSN issues, such as energy efficiency, service redundancy, routing delay, scalability, and making WSNs more efficient. Unfortunately, the WSNs are still immature, and suffering in several aspects. This paper aims to solve some of the downsides in existing routing protocols for WSNs; a Lightweight and Efficient Dynamic Cluster Head Election routing protocol (LEDCHE-WSN) is proposed. The proposed routing algorithm comprises two integrated methods, electing the optimum cluster head, and organizing the re-clustering process dynamically. Furthermore, the proposed protocol improves on others present in the literature by combining the random and periodic electing method in the same round, and the random method starts first at the beginning of each round/cycle. Moreover, both random and periodic electing methods are preceded by checking the remaining power to skip the dead nodes and continue in the same way periodically with the rest of the nodes in the round. Additionally, the proposed protocol is distinguished by deleting dead nodes from the network topology list during the re-clustering process to address the black holes and routing delay problems. Finally, the proposed algorithm’s mathematical modeling and analysis are introduced. The experimental results reveal the proposed protocol outperforms the LEACH protocol by approximately 32% and the FBCFP protocol by 8%, in terms of power consumption and network lifetime. In terms of Mean Package Delay, LEDCHE-WSN improves the LEACH protocol by 42% and the FBCFP protocol by 15%, and regarding Loss Ratio, it improves the LEACH protocol by approximately 46% and FBCFP protocol by 25%.

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Section: Related Workmentioning

confidence: 99%

Lightweight and Efficient Dynamic Cluster Head Election Routing Protocol for Wireless Sensor Networks

Yagoub

Khalifa

Abdelmaboud

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…In order to reduce the workload of the cluster head and produce a more accurate, reliable result, a distributed, general‐purpose reasoning engine for WSN, which uses fuzzy logic and ECATCH algorithm is introduced by DFLER 183 . However, transferring data from all nodes to their cluster head (CH) leads to a bottleneck problem that drains energy too much.…”

Section: Service Discovery and Cluster‐based Routing Protocolsmentioning

confidence: 99%

Service redundancy and cluster‐based routing protocols for wireless sensor and mobile ad hoc networks: A survey

Yagoub

Rodrigues

Khalifa

et al. 2020

Int J Communication

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SummaryService discovery (SD) is the cornerstone of wireless and mobile systems. The discovery of effective service is the key to achieve a higher level of ubiquity, which ensures the availability of services to users and applications significantly, and the high use of services. The research in this field is limited, with a few SD protocols available for specific purposes specified in the 6LoWPAN region. This paper discusses the various issues and challenges facing the design and selection of the appropriate service discovery and cluster‐based mechanism. Moreover, attention has been drawn to the cross‐layer solution by discussing different clustering techniques used to solve the redundancy problems. Furthermore, the service discovery protocols and cluster‐based routing protocols are critically investigated considering the redundancy problem, methods, mechanisms, and architectures by categorizing them into different categories, comparing them with fundamental parameters in the WSNs and MANETs environments. In addition, a modern form is proposed to show the life cycle of the service discovery process, and a new figure has been designed to clarify to the researchers various of the open issues related to the service discovery and cluster‐based routing protocols, corresponding objectives and the techniques of solving problems. Through the discussion of the scientific papers under survey, important results and valuable recommendations were reached. The survey is concluded with a summary, open research issues, outlook, and directions for future research on the topic.

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On the scalability of routing protocols in WSN

Singh

Rishiwal

2017

2017 3rd International Conference on Advances in Computing,Communication &Amp; Automation (ICACCA) (Fall)

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Efficient Clustering using ECATCH Algorithm to Extend Network Lifetime in Wireless Sensor Networks

Cited by 5 publications

References 14 publications

Lightweight and Efficient Dynamic Cluster Head Election Routing Protocol for Wireless Sensor Networks

Lightweight and Efficient Dynamic Cluster Head Election Routing Protocol for Wireless Sensor Networks

Service redundancy and cluster‐based routing protocols for wireless sensor and mobile ad hoc networks: A survey

On the scalability of routing protocols in WSN

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