Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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With the rapid extension of IoT-based applications, various distinct challenges are emerging in this area. Among these concerns, the node’s energy efficiency has a special importance; since it can directly affect the functionality of IoT-Based applications. By considering data transmission as the most energy-consuming task in IoT networks; clustering has been proposed to reduce the communication distance and ultimately overcome node energy wastage. However, cluster head selection as a non-deterministic polynomial-time hard problem will be challenging notably by considering node’s heterogeneity and real-world IoT network constraints which usually have conflicts with each other. Due to the existence of conflict among the main system parameters, various solutions have been proposed in recent years that each of which only considered a few real-world limitations and parameters.
Maryam Maleki. 2026. \u201cAn Improved Energy-Aware Distributed Unequal Clustering Protocol using BBO Algorithm for Heterogeneous Load Balancing\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 22 (GJCST Volume 22 Issue E2): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 82
Country: Iran
Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security
Authors: Maryam Maleki, Amir Massoud Bidgoli(CA) (PhD/Dr. count: 0)
View Count (all-time): 300
Total Views (Real + Logic): 2801
Total Downloads (simulated): 24
Publish Date: 2026 01, Fri
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Neural Networks and Rules-based Systems used to Find Rational and
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With the rapid extension of IoT-based applications, various distinct challenges are emerging in this area. Among these concerns, the node’s energy efficiency has a special importance; since it can directly affect the functionality of IoT-Based applications. By considering data transmission as the most energy-consuming task in IoT networks; clustering has been proposed to reduce the communication distance and ultimately overcome node energy wastage. However, cluster head selection as a non-deterministic polynomial-time hard problem will be challenging notably by considering node’s heterogeneity and real-world IoT network constraints which usually have conflicts with each other. Due to the existence of conflict among the main system parameters, various solutions have been proposed in recent years that each of which only considered a few real-world limitations and parameters.
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