Improving Network Consistency and Data Availability Using Fuzzy C Mean Clustering Algorithm in Wireless Sensor Networks

Mujahid Tabassum

Publication:
Improving Network Consistency and Data Availability Using Fuzzy C Mean Clustering Algorithm in Wireless Sensor Networks

datacite.subject.fos	Engineering and technology
dc.contributor.advisor	Sundresan Perumal [Supervisor]
dc.contributor.author	Mujahid Tabassum
dc.date.accessioned	2024-06-13T07:11:11Z
dc.date.available	2024-06-13T07:11:11Z
dc.date.issued	2024-03
dc.description	Matric: 4171001 (FST)-Restricted until Mac 2027
dc.description.abstract	Wireless Sensor Networks (WSNs) are becoming increasingly ubiquitous in a wide range of applications, such as agriculture monitoring, industrial automation, and healthcare. However, their operation in resource-constrained environments presents unique challenges, including data loss, node failure, and limited network lifetime, which can significantly impact their performance and reliability. This thesis investigates the challenges and existing solutions related to data loss, node failure, and network lifetime aspects of WSNs. This research proposes a hybrid Tri-Head Fuzzy C Mean Clustering Multipath Routing Protocol (THFCMRP) that helps make WSNs more reliable, consistent, and long-lasting by addressing these critical issues. The proposed THFCMRP approach is designed by a trihead fuzzy c means clustering integrated with a multi-path routing protocol approach. Initially, groups of sensor nodes are clustered using a fuzzy c means clustering approach. Then, three Cluster Heads (CHs) such as Aggregation Cluster Head (ACH), Transmitting Cluster Head (TCH), and Backup Cluster Head (BCH), are selected. These CHs include various roles and functions. The responsibility of ACH is to aggregate data from cluster members and transmit it to TCH. The information is collected by TCH and then transmitted to BS. However, BCH plays a crucial role in ensuring network consistency and data availability. The BCH helps reduce the data loss caused by TCH and Base Station (BS) failures. The BCH offers data redundancy, improves energy efficiency, and enhances network consistency and data availability by taking over for failing aggregate and transmitting cluster heads. A multi-path routing protocol is used to generate an optimal path from the TCH to the BS for data transmission. TCH uses an optimal path that consumes less energy for data transfer, thus diminishing data loss and extending the network's life. Thus, the proposed approach optimizes network performance by minimizing data loss, maintaining network performance upon any node failure incident, and extending the network's lifetime. Data Backup, Average Correct Data Packet Transferred, Data Loss, End to End Delay, Normalized Overheads, Packet Delivery Ratio, Throughput, Routing Overhead, Number of Alive Nodes, Packet Drop Ratio, and Residual Energy metrics are evaluated to assess the efficiency of the proposed approach. The packet delivery rate of the proposed algorithm is 98%, indicating that it causes lower node failure and data loss. The data loss ratio is 0.2%, meaning most packets are successfully delivered to their destination. Compared to the existing algorithms H2B2H, FTCM, HFGWO, DHSCA, and EACNF, the proposed technique achieves 83% energy efficiency. Our results demonstrated that the proposed algorithm offers better network consistency and data availability within a WSN.
dc.identifier.citation	Mujahid Tabassum. (2024). Improving Network Consistency and Data Availability Using Fuzzy C Mean Clustering Algorithm in Wireless Sensor Networks [Doctoral dissertation, Universiti Sains Islam Malaysia]. USIM Research Repository.
dc.identifier.uri	https://oarep.usim.edu.my/handle/123456789/19116
dc.language.iso	en_US
dc.publisher	Universiti Sains Islam Malaysia
dc.subject	Clustering
dc.subject	Energy consumption
dc.subject	Wireless Sensor Networks (WSNs)
dc.subject	Fuzzy systems
dc.subject	Fuzzy c means
dc.subject	Internet of things (IoT)
dc.subject	Scalability
dc.subject	Cluster Heads (CHs)
dc.subject	Aggregation Cluster Head (ACH)
dc.subject	Transmitting Cluster Head (TCH)
dc.subject	Backup Cluster Head (BCH)
dc.title	Improving Network Consistency and Data Availability Using Fuzzy C Mean Clustering Algorithm in Wireless Sensor Networks
dc.type	text::thesis
dspace.entity.type	Publication
oairecerif.author.affiliation	Universiti Sains Islam Malaysia