Wi-Fi Sensor Networks (WSNs), characterized by energy-forced nodes powered by limited-ability batteries, necessitate energy-effective data compression methods to extend their network lifetime. The ideas module within each sensor node arises as a primary energy services, making data compression a important approach to curtail data broadcast. This paper introduces the Modified Adaptive Edible grain Golomb Coding (MARGC) algorithm as an persuasive compression technique to reinforce the network's lifespan. Simulation results, utilizing various datasets, underscore the feasibility and efficiency of the MARGC algorithm. Furthermore, the invention's real-time exercise on National Instruments Wireless Sensor Network (NI WSN) fittings demonstrates its realistic applicability and performance. To standard our contribution, future work will involve a approximate analysis with existing methods to highlight the superior aspects of the projected MARGC algorithm.
S. Kalaivani,
Department of Electronics and Communication Engineering, B.S.A Crescent Institute of Science and Technology, Chennai, Tamil Nadu, India.
C. Tharini,
Department of Electronics and Communication Engineering, B.S.A Crescent Institute of Science and Technology, Chennai, Tamil Nadu, India.
Please see the link here: https://stm.bookpi.org/RATMCS-V7/article/view/12832
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