Wednesday, 1 January 2025

Optimizing WSN Performance through Adaptive Routing and Trust-Based Congestion Control Techniques | Chapter 7 | Research Updates in Mathematics and Computer Science Vol. 6

 

Congestion in sensor network is one of the significant elements this should be suitably addressed to propel the reception of remote sensor organizations. In this work, an Energy-Proficient Directing Convention is introduced to send the hubs to their objective really. To control blockage, a Versatile Cradle compromise and further developed Trust-based Energy Productive Steering convention is first introduced, this strategy distinguishes the clog freeways and the Support compromise handles the cushion successfully. To course the convention, a Cross-Layer Security-Based Fluffy Rationale Energy Effective Parcel Misfortune Preventive Steering Convention has been created. The proposed convention courses the hubs and the convention embraces a steering convention that bestows security as far as staying away from malignant hubs and forestalling information misfortune. Thus, to work on the lifetime of the organization, a Thickness Mindful Ideal Grouping Approach is introduced. The proposed strategy is assessed in light of the Mat lab programming and the QoS execution measurements are Energy Utilization, Bundle Conveyance Proportion, Trust Worth Calculation, dormancy, unwavering quality, energy productivity, start to finish delay, Normal Throughput, exactness and organization lifetime. The viability of the exploration is assessed by contrasting it and other existing methods, including Trust Mindful Secure Steering Convention, Counterfeit Greenery Calculation Based Help Vector Machine, Efficient Trust Assessment Based Directing Plan, LionFuzzyBee, and BatFuzzyBee Calculation. Appropriately, the recommended strategy's presentation is 3%, 8%, 4%, 7%, and 2% higher than the current techniques for Parcel conveyance proportion, throughput, network lifetime, energy effectiveness, and unwavering quality. Thus, the proposed technique further develops the clog control execution in an energy-productive way, in future; an as of late high level method is proposed to individually successfully further develop the organization execution.

 

Author(s)details:-

 

Dr. Mohanarangan S.
Department of CSE, Arunai Engineering College, Tiruvannamalai, India.

 

Dr. Mohanarangan S.
Department of CSE, Arunai Engineering College, Tiruvannamalai, India.

 

Dr. Mohanarangan S.
Department of CSE, Arunai Engineering College, Tiruvannamalai, India.

 

Mrs. Hemamalini M.
Department of CS, Kamban College of Arts and Science for Women, Tiruvannamalai, India.

 

Dr. D. Sivakumar
Department of Computer Science and Engineering, (AI&ML. Cyber security), AMET University, Chennai (Tamil Nadu), India.

 

Please See the book here :-  https://doi.org/10.9734/bpi/rumcs/v6/12171F

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