Effectual Energy Optimization Stratagems for Wireless Sensor Network Collections Through Fuzzy-Based Inadequate Clustering
- Title
- Effectual Energy Optimization Stratagems for Wireless Sensor Network Collections Through Fuzzy-Based Inadequate Clustering
- Creator
- S K.; Rao D.D.; Jain A.; Sharma S.; Pandit S.V.; Pandey R.
- Description
- Wireless Sensor Networks (WSNs) are crucial in the burgeoning Internet of Things (IoT) landscape, serving as a backbone technology that enables myriad applications across various industries. Originating as a simple methodology, WSNs have evolved significantly, propelled by rapid advancements in sensor technology and hardware capabilities. These networks play a pivotal role in collecting and transmitting data, which is essential for the infrastructure of most IoT systems. WSNs operate by deploying sensor nodes across diverse locations to gather environmental data. This scalability and adaptability of WSNs were demonstrated in studies where network coverage was expanded to include 100 and 200 nodes. Notably, the implementation of the innovative FLECH (Fuzzy Logic Energy-efficient Clustering Hierarchy) protocol significantly enhanced energy efficiency, reducing consumption by 12.69% in networks with 100 nodes and by 36.85% in those with 200 nodes, compared to the traditional LEACH (Low-Energy Adaptive Clustering Hierarchy) protocol. This work innovatively combines fuzzy logic and Particle Swarm Optimization (PSO) for efficient Cluster Head selection in Wireless Sensor Networks. The evaluation of these protocols involved numerous simulations and communication tests to ascertain the First Node Die (FND) pointindicative of when a network begins to lose efficacy due to energy depletion. Results indicated that the LEACH protocol reached the FND point faster than FLECH, suggesting that FLECH may offer better longevity and durability for IoT applications, aligning with the needs for sustainable and efficient operation in expanding technological ecosystems. The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024.
- Source
- SN Computer Science, Vol-5, No. 8
- Date
- 2024-01-01
- Publisher
- Springer
- Subject
- FLECH; IoT; LEACH; WSN
- Coverage
- S K., Christ University, Karanataka, Banglore, India; Rao D.D., Indian Institute of Technology, Patna, India; Jain A., School of Computer Applications, Manav Rachna International Institute of Research and Studies(MRIIRS), Haryana, Faridabad, India; Sharma S., School of Computer Applications, Manav Rachna International Institute of Research and Studies(MRIIRS), Haryana, Faridabad, India; Pandit S.V., Department of Artificial Intelligence and Data Science, PES Modern College of Engineering, Pune, Shivajinagar, 411005, India; Pandey R., Department of Computer Science & amp; Engineering, University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, Madhya Pradesh, India
- Rights
- Restricted Access
- Relation
- ISSN: 2662995X
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
S K.; Rao D.D.; Jain A.; Sharma S.; Pandit S.V.; Pandey R., “Effectual Energy Optimization Stratagems for Wireless Sensor Network Collections Through Fuzzy-Based Inadequate Clustering,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 26, 2025, https://archives.christuniversity.in/items/show/12689.