Abstract
With advancements in technology in the twenty-first century, tiny and cheap but intelligent sensors networked using wireless links and internet are being deployed in physical areas. These are popularly named as WSN; WSNs are powered by microelectronic mechanical systems (MEMS) and wireless communication technologies. Each sensor node is accompanied with a battery which easily gets discharged with time and thus needs to be replaced or recharged. The lifetime expectancy of a WSN can be maximized by reducing the energy or power that is being consumed. Even then, ample amount of energy is wasted by idle node components (CPU, radio, etc.). Sometimes, power management schemes thus suggest turning the node components off when not in use. At an extensive level, there are three strategies: duty cycling approaches, data-driven techniques, and mobility approaches. In this paper, we contemplate on data-driven approaches. Data which is sampled by the sensor nodes is processed, but of all duty cycling approach is insensitive to data sampled. Hence, data-driven approach has been followed as it has been seen to improve the energy efficiency when compared to the other techniques.
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Kaur, C., Sharma, C., Dhiman, A., Sharma, A. (2018). Variations in Routing Protocol Resulting in Improved Energy Utilization in WSN. In: Lobiyal, D., Mansotra, V., Singh, U. (eds) Next-Generation Networks. Advances in Intelligent Systems and Computing, vol 638. Springer, Singapore. https://doi.org/10.1007/978-981-10-6005-2_3
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DOI: https://doi.org/10.1007/978-981-10-6005-2_3
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