Reverse Conversion Using Core Function, CRT and Mixed Radix Conversion

Mohan, P. V. Ananda

doi:10.1007/s00034-016-0440-2

Cited by 8 publications

(3 citation statements)

References 29 publications

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“…The Low-Energy Adaptive Clustering (LEACH) protocol technique and CRT-based packet splitting were additional ideas put forth by Mohan (2016). In order to divide up sensed data by each node and transmit proportional deposits to the cluster head (CH), Local Closet First (LCF) was utilized to select the closest neighbors and moduli set {2 n + 1 -1, 2 n , 2 n -1} to break sensed data by every node and send proportional deposits to the cluster head (CH).…”

Section: Related Workmentioning

confidence: 99%

“…For illustration purpose, let us consider the traditional moduli set {7, 6, 5} (Mohan, 2016), with residue representation (1,2,3), thus m=1 mod 7, m= 2 mod 6, m =3 mod 5. Then by CRT, m= 8 (decimal value).…”

Section: The Mathematical Equations For Grey Wolf Optimizationmentioning

confidence: 99%

“…The energy consumption based on CRT forward technique further enhance the energy reduction using (Mohan, 2016) traditional moduli set {7, 6, 5} as compared to (Raji et al,2021)…”

Section: The Mathematical Equations For Grey Wolf Optimizationmentioning

confidence: 99%

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GWO Optimized LEACH CRT-Based Forwarding Scheme for Wireless Sensor Networks Energy Optimization

Lasisi,

Gbolagade,

Asaju-Gbolagade

2023

EJCSIT

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Wireless sensor networks (WSNs) are intelligent communication systems that assist in the industrial revolution of IoT. Sensor nodes present in WSNs often have limited battery lifetime due to their energy limits. Ability to replace or recharge the battery supply for networks in largescale or remote sites has been a major drawback. Clustering, duty cycling, data aggregation and routing has been major energy efficiency techniques employed to address energy problems. Due to the poor performance of the traditional LEACH, this paper employ the GWO CRT-based forwarding and splitting techniques to enhance the performance of LEACH. The simulation is done on MATLAB 2018a and the obtained results prove that the proposed protocol i.e., GWO CRT-based outperforms the existing models such LEACH, improved LEACH etc., with respect to energy consumption, throughput, and the lifespan of the network.

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Section: Related Workmentioning

confidence: 99%

Section: The Mathematical Equations For Grey Wolf Optimizationmentioning

confidence: 99%