Improvement of energy efficiency and Reduction of Data loss using Clustering in WSN

Computer Engineering

WSN consist of sensor nodes of small size & having limited computational power & limited energy. Due to lower energy, sometimes it may happen that the data sensed by the nodes couldn’t reach to the sink node and data loss occurs which is also a big problem. An algorithm named FNR provides around 90% of data loss recovery with the increase in energy which uses combination of Grade diffusion algorithm and Genetic Algorithm. In WSN, clustering approach is very important for the increase of lifetime and reduction of dataloss means decreasing energy consumption and decreasing data loss. Another algorithm, DFCA provides clustering, which is more important than other clustering techniques. By applying the DFCA in the FNR algorithm before applying the GA after the Grade diffusion process is done we can have more energy efficient and more data reliable algorithm, which helps us in many approaches for the betterment of WSN and its lifetime and data loss problem.

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