EnLiMax: a WSN-based energy efficient lifetime maximisation framework for potable water quality monitoring and reporting through optimised node deployment
by Moumita Ghosh; Rama Sushil; Kaushik Ghosh
International Journal of Systems, Control and Communications (IJSCC), Vol. 13, No. 3, 2022

Abstract: Potable water quality monitoring technique has been a prominent research area for quite some time. Water borne diseases take away many lives every year throughout the world, particularly in developing and underdeveloped nations. In this work, we have therefore proposed a WSN-based energy efficient lifetime maximisation (EnLiMax) framework, for potable water quality monitoring (WQM) in metropolitan cities. The proposed framework will monitor different parameters for potable water in the main supply reservoir by deploying sensor nodes. Any aberration from the predefined thresholds for the said parameters will be reported to multiple sinks, for necessary follow ups. In this paper we have also proposed a novel network parameter for node placement, called degree of proximity (DoP). It was found that at an optimum DoP value of 3, a network will record maximum lifetime when all other network parameters are unchanged. Here through the proposed framework, we have presented methods for monitoring both surface water and underwater. The lifetime of the proposed framework is compared with some other well-known protocols in WSN. The results have shown that the proposed method and framework recorded more lifetime as compared to some very well-known protocols like LEACH, TEEN, SEP and MoDLEACH.

Online publication date: Mon, 04-Jul-2022

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