G. Sheeba1,*, T. M. Selvarajan2
CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 689-700, 2022, DOI:10.32604/cmc.2022.021781
- 18 May 2022
Abstract Wireless sensor networks (WSNs) are one of the most important improvements due to their remarkable capacities and their continuous growth in various applications. However, the lifetime of WSNs is very confined because of the delimited energy limit of their sensor nodes. This is the reason why energy conservation is considered the main exploration worry for WSNs. For this energy-efficient routing is required to save energy and to subsequently drag out the lifetime of WSNs. In this report we use the Ant Colony Optimization (ACO) method and are evaluated using the Genetic Algorithm (GA), based on… More >
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