This paper discusses the need for energy-efficient communication in wireless sensor networks and identifies the key energy dissipation sources as well as countermeasures to ensure a long lifetime of the network. In remote and dangerous settings, wireless sensor networks can collect trustworthy and reliable information and can be used in national defence, military affairs, industrial control, traffic management, medical care, smart home, etc. The sensor whose resources are reserved is low-cost and relies on the battery to supply energy, so it is necessary to use its power efficiently for routing. In this research work, first we use the greedy chain to implement the LEACH and PEGASIS Protocol and then we use the Genetic Algorithm to construct the data routing chain, which uses its parameters of crossover and mutation and finds an optimised data collection routing route. For the same number of nodes, the Genetic Algorithm increases the network lifespan. Simulations are performed and, on the basis of energy consumption and number of rounds, the effects of PEGASIS and Genetic Algorithm are compared with each other.
wireless sensor network, Routing Protocol, Leach, Pegasis protocol, Genetic Algorithm, Energy efficiency etc
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